USRE42639E1 - Apparatus and method for rotating the display orientation of a captured image - Google Patents

Apparatus and method for rotating the display orientation of a captured image Download PDF

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USRE42639E1
USRE42639E1 US12/647,801 US64780109A USRE42639E US RE42639 E1 USRE42639 E1 US RE42639E1 US 64780109 A US64780109 A US 64780109A US RE42639 E USRE42639 E US RE42639E
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image data
orientation
image
processing unit
portrait
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US12/647,801
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Eric C. Anderson
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Apple Inc
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Apple Inc
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/2628Alteration of picture size, shape, position or orientation, e.g. zooming, rotation, rolling, perspective, translation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/63Control of cameras or camera modules by using electronic viewfinders
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N2101/00Still video cameras
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N2201/00Indexing scheme relating to scanning, transmission or reproduction of documents or the like, and to details thereof
    • H04N2201/0077Types of the still picture apparatus
    • H04N2201/0084Digital still camera

Definitions

  • the present invention relates generally to an apparatus and method for orienting an image. More particularly, the present invention is an apparatus and method for rotating a captured image to an orientation corresponding to an imaging subsystem's orientation at the time in which the image was captured.
  • FIG. 1A a prior art graphical representation of an object in a landscape orientation is shown, in which the image's width is greater than its height.
  • FIG. 1B a prior art graphical representation of the object in a portrait orientation is shown, in which the image's height is greater than its width.
  • an image sensor is comprised of light-sensitive devices, such as charge-coupled devices (CCD), that convert an optical image into a set of electrical signals.
  • CCD charge-coupled devices
  • FIG. 1C a prior art image sensor is shown having a 480 row by 640 column matrix of light collecting pixels.
  • the image sensor is orientated within a body of the digital camera so that a first row of pixels (i.e. row r 1 ) corresponds to the bottom of an upright and level digital camera. This image sensor orientation is required since as an optical image passes through a conventional camera lens it is inverted.
  • the image sensor in a color digital camera typically consists of an array of green (G), red (R) and blue (B) pixels.
  • Alternative embodiments include sensors detecting cyan, magenta, yellow and green as is typically used in video cameras. Other image sensor configurations are also used.
  • the pixels that comprise the image sensor are arranged into various patterns or formats.
  • a common image sensor format is called a Bayer pattern.
  • the Bayer pattern format is defined as a pixel pattern comprised of 50% green-light responsive pixels, 25% red-light responsive pixels and 25% blue-light responsive pixels arranged in alternating rows of “GRGRGR” and “BGBGBG,” as shown in FIG. 1C .
  • G means “green”
  • R” means “red”
  • B” means “blue.”
  • Image processing routines are conventionally designed to process pixel signals line-by-line, conforming to a specific and unchanging pixel pattern format.
  • image sensors manufactured with the Bayer pixel pattern format will be coupled to image processing routines specifically designed to accept pixel signals in alternating sequences of “GRGRGR” and “BGBGBG.” Due to possible imperfections in the outer rows and columns of pixels that make up the image sensor, conventional digital cameras sometimes have image sensors large enough so that one or more lines of pixels at the sides of the image sensor can be ignored.
  • FIG. 1D a prior art graphical representation is shown of the object as captured in the portrait orientation and output upon an image display 100 .
  • the image display 100 is typically a conventional stand-alone, personal computer CRT having a top 102 , a right side 104 , a left side 106 and a bottom 108 .
  • the image processing routines within digital cameras are conventionally designed to process pixel signals on a line-by-line basis according to only one pixel pattern format.
  • conventional digital cameras process images as if they were always in a landscape format.
  • the “TOP” i.e. “top portion” of the landscape image would correspond to the top 102 of the FIG. 1D image display 100 .
  • Such an orientation for landscape images on the image display 100 is quite natural and is acceptable for ease of viewing the image.
  • FIG. 1B upon the image display results in the “TOP” of the portrait image corresponding to either the right side 104 or the left side 106 of the image display 100 , depending on how the user had rotated the digital camera.
  • FIG. 1D explicitly shows the case where the “TOP” of the portrait image corresponds to the right side 104 of the image display 100 .
  • This “sideways” orientation for portrait images on the image display 100 is unacceptable and unnatural.
  • This undesirable by-product of conventional digital cameras requires that the user rotate portrait images so that they are presented in a more natural and upright viewing angle on the image display 100 . It should be noted that this problem also exists for digitized images from conventional film cameras.
  • Traditional rotation methods also have the disadvantage of requiring two blocks of memory to rotate a stored image.
  • What is needed is an apparatus and method that efficiently and automatically rotates a stored photographic image to correspond to the orientation in which the photographic image was captured.
  • the present invention is an apparatus and method for rotating the display orientation of a captured image.
  • the apparatus of the present invention preferably comprises an image sensor, an orientation sensor, a memory and a processing unit.
  • the image sensor is used for capturing image data.
  • the orientation sensor is coupled to the image sensor, and is used for generating a portrait signal if the image sensor is positioned in a portrait orientation relative to the object.
  • the memory has an auto-rotate unit comprising program instructions for transforming the captured image data into rotated image data in response to the portrait signal.
  • the processing unit is used for executing program instructions stored in the memory, and is coupled to the image sensor, the orientation sensor and the memory.
  • the method of the present invention preferably comprises the steps of: generating image data representative of an object with an image sensor; identifying an orientation of the image sensor relative to the object during the generating step; and selectively transferring the image data to an image processing unit in response to the identifying step.
  • FIG. 1A is a prior art graphical representation of an object in a landscape orientation
  • FIG. 1B is a prior art graphical representation of the object in a portrait orientation
  • FIG. 1C is a prior art 480 row by 640 column image sensor
  • FIG. 1D is a prior art graphical representation of the object as captured in the portrait orientation and output upon an image display;
  • FIG. 2 is a block diagram of a preferred embodiment of an apparatus for rotating the display orientation of a captured image
  • FIG. 3A is a block diagram of a preferred embodiment of an imaging subsystem of the present invention.
  • FIG. 3B is a first graphical representation of a preferred embodiment of an image sensor disposed within the present invention.
  • FIG. 3C is a second graphical representation of a preferred embodiment of the image sensor within the present invention.
  • FIG. 4A is a block diagram of a preferred embodiment of a processing and storage subsystem of the present invention.
  • FIG. 4B is a block diagram of a preferred embodiment of a volatile memory within the processing and storage sub-system
  • FIG. 4C is a block diagram of a preferred embodiment of a frame buffer data structure within a frame buffer
  • FIG. 4D is a block diagram of the preferred embodiment of a non-volatile memory within the processing and storage subsystem
  • FIG. 5A is a graphical representation of a preferred embodiment of portrait_left image data within the frame buffer data structure
  • FIG. 5B is a graphical representation of a preferred embodiment of portrait_right image data within the frame buffer data structure
  • FIG. 5C is a graphical representation of a preferred embodiment of landscape image data within the frame buffer data structure.
  • FIGS. 6A , 6 B, 6 C and 6 D are a flowchart of a preferred method for rotating the display orientation of a captured image.
  • the present invention is an apparatus and method for rotating the display orientation of a captured image.
  • the camera 200 is a digital camera, such as a QuickTake 150 , by Apple Computer of Cupertino, Calif.
  • the camera 200 preferably comprises an imaging subsystem 204 , a bus 206 and a processing and storage subsystem 208 .
  • Reflected light from an object 202 is conventionally captured by the imaging subsystem 204 via a button press or some other action.
  • the captured image data is transferred over the bus 206 to the processing and storage subsystem 208 , which stores the data in internal memory.
  • the bus 206 also passes various status and control signals between the imaging subsystem 204 and the processing and storage subsystem 208 , as will be further discussed below.
  • the imaging subsystem 204 preferably comprises a lens 300 having an iris, an optical filter 302 , an image sensor 304 , a timing generator 306 , an analog signal processor (ASP) 308 , an analog-to-digital (A/D) converter 310 , a digital signal processor (DSP) 320 , a right/left orientation sensor (RLOS) 324 , an up/down orientation sensor (UDOS) 326 and one or more motors 312 .
  • ASP analog signal processor
  • A/D analog-to-digital
  • DSP digital signal processor
  • RLOS right/left orientation sensor
  • UDOS up/down orientation sensor
  • the imaging subsystem 204 captures an image of the object 202 via light impacting the image sensor 304 along an optical path 314 .
  • the image sensor 304 in turn generates a set of pixel signals representative of the captured image data.
  • the captured image data passes over the bus 206 to the processing and storage subsystem 208 .
  • the functions performed by the DSP 320 may alternatively be performed in the processing and storage subsystem 208 .
  • FIG. 3B a graphical representation is shown illustrating the image sensor 304 disposed within the camera 200 .
  • FIG. 3B shows the camera 200 maintained in a landscape orientation while directly facing the object 202 .
  • the image sensor 304 has a front 338 and a top 336 , which are juxtaposed with a front 334 and a bottom 332 of the camera 200 respectively.
  • the front side 338 of the image sensor 304 comprises light-sensitive pixels, which capture an image received along the optical path 314 and through the lens 300 mounted upon the camera 200 . It should be noted that the image recorded by the image sensor 304 is inverted relative to the object by the lens 300 .
  • the front 338 of the image sensor 304 preferably forms a planar surface as shown in perspective in FIG.
  • FIG. 3B When the image sensor 304 is oriented as shown in FIG. 3B , a landscape image of the object 202 is captured. When the camera 200 is rotated either 90° clockwise or 90° counterclockwise about the x-axis, a portrait image of the object 202 is captured.
  • the image sensor 304 is comprised of a plurality of pixels arranged in an i-row by j-column array.
  • the pixels are arranged in a Bayer pattern format.
  • the present invention may be applied to image sensors of various sizes and image processing routines designed to process pixel signals arranged in patterns or formats different from the Bayer pattern.
  • the RLOS 324 i.e. the right/left orientation sensor
  • the UDOS 326 i.e. the up/down orientation sensor
  • Both the RLOS 324 and the UDOS 326 are physically coupled to the image sensor 304 and electrically coupled to the DSP 320 .
  • the RLOS 324 monitors whether the camera 200 is in a landscape orientation or a portrait orientation. If the camera 200 is in a portrait orientation, the RLOS 324 identifies whether the camera 200 has been rotated clockwise or counterclockwise, as viewed from the rear of the camera 200 .
  • the RLOS 324 In response to such camera 200 rotation, the RLOS 324 generates and transmits either a landscape signal, a portrait_left signal or a portrait_right signal to the DSP 320 . More specifically, if the camera 200 is held in the landscape orientation shown in FIGS. 1A and 3B , the RLOS 324 generates the landscape signal, since the top 336 of the image sensor 304 corresponds to the “TOP” of the object 202 . However, if the camera 200 is rotated 90° clockwise about the x-axis, as viewed from the rear of the camera 200 shown in FIG. 3B , the RLOS 324 generates the portrait_right signal, since now the right side 342 of the image sensor 304 corresponds to the “TOP” of the object 202 .
  • the RLOS 324 generates the portrait_left signal, since now the left side 340 of the image sensor 304 corresponds to the “TOP” of the object 202 .
  • the UDOS 326 monitors whether the camera 200 is in either a level orientation or an off-level orientation. In response to a movement of the camera 200 , the UDOS 324 generates and transmits either a level signal or an off-level signal to the DSP 320 . Specifically, if the camera 200 is held in the landscape orientation shown in FIG. 3B , the UDOS 324 generates the level signal, since the front 334 of the camera 200 directly faces the object 202 . If the camera 200 is rotated more than 45° clockwise or counter-clockwise about the y-axis, shown in FIG. 3B , the UDOS 324 preferably generates the off-level signal, since the front 334 of the camera 200 now points either above or below the x-y plane. Alternative embodiments of the present invention can change the specific measure of rotation necessary to generate the off-level signal from 45° to any number from 0° to 180°.
  • Both the RLOS 324 and UDOS 326 sensors are preferably identical in their structure and function. Their placement relative to the image sensor 304 determines whether the signal generated by the orientation sensor is one of the RLOS 324 signals or the UDOS 326 signals.
  • the DSP 320 receives both the RLOS 324 and the UDOS 326 signals and transmits them to the processing and storage subsystem 208 over the bus 206 . While the preferred embodiment of the present invention incorporates the orientation sensors 324 , 326 , those skilled in the art will recognize that the orientation sensors 324 , 326 are not required to practice the present invention, if the processing and storage subsystem 208 prompts the photographer for the camera's 200 orientation at the time an image is captured.
  • an embodiment using only the RLOS 324 enables practicing of the present invention, but this alternative embodiment results in loss of the off-level signal.
  • this alternative embodiment using only the RLOS 324 is still useful for most applications requiring only landscape and portrait orientation using an approximately level camera 200 .
  • a further alternative embodiment includes an RLOS 324 which only generates the landscape, portrait_left, or portrait_right signals if the camera 200 is within a predetermined level range.
  • the processing and storage subsystem 208 comprises a buffer 400 , a processing unit 404 , a non-volatile memory 406 , an input device 408 , a volatile memory 410 and an I/O interface 414 , coupled together via an internal bus 402 .
  • the processing and storage subsystem 208 is conventionally embedded as part of the camera 200 .
  • the processing and storage subsystem 208 may be a desktop type computer.
  • the buffer 400 is preferably a first-in, first-out buffer for temporarily holding the captured image data and the imaging subsystem 204 control signals passed between the DSP 320 and the processing and storage subsystem 208 .
  • the buffer 400 has data lines that are coupled to both the bus 206 and the internal bus 402 .
  • the processing unit 404 executes programming instructions stored in the non-volatile memory 406 and the volatile memory 410 to perform various operations.
  • the non-volatile memory 406 stores a set of computer readable program instructions for controlling how the processing unit 404 accesses, transforms and outputs the image data, as described in detail below with reference to FIG. 4D .
  • non-volatile memory 406 is preferably a Read Only Memory (ROM), alternatively the non-volatile memory 406 could be replaced with a functionally equivalent computer useable medium such as: a compact disk and drive; a floppy disk and drive; or a memory card. Additional details on the function and operation of both the non-volatile memory 406 and the volatile memory 410 are provided below with reference to FIGS. 4B and 4D .
  • ROM Read Only Memory
  • the input device 408 is preferably a series of control buttons, responsive to user inputs, which generates signals that are translated by the processing unit 404 into control signals to adjust the focus and other operating parameters of the imaging subsystem 204 .
  • an alternative embodiment of the present invention prompts the user to manually input, via the input device 408 , the imaging subsystem's 204 orientation at the time the captured image data was generated.
  • the I/O Interface 414 is coupled to the internal bus 402 and has an external port connector for coupling the processing and storage subsystem 208 with a host computer (not shown) for downloading image data stored in the volatile memory 410 and thus freeing up room in the volatile memory 410 for additional sets of processed image data.
  • the input device 408 will also include a keyboard and mouse type controller.
  • the volatile memory 410 contains a frame buffer 416 , working memory 418 and storage memory 420 coupled to the internal bus 402 .
  • the volatile memory 410 is preferably a Random Access Memory (RAM).
  • the frame buffer 416 is preferably comprised of a dedicated space of contiguous memory comprising an i-row by j-column area for storing image data. There is preferably a constant one-to-one correspondence between the pixels comprising the image sensor 304 array and the storage locations within the frame buffer 416 area. Alternatively, the pixel signals from the image sensor 304 array could be stored within the frame buffer 416 in a non-contiguous (i.e. sectored) memory format, as is commonly known in the art. In the preferred embodiment, i and j are set equivalent to the size of the image sensor 304 . Since the preferred image sensor 304 is a 481 by 641 array, i is set to 481 and j is set to 641.
  • the frame buffer 416 will still preferably be a 481 by 641 array since, as is discussed below, an extra row and column is generated by the processing and storage subsystem 208 .
  • the working memory 418 preferably provides a temporary space for storing data received from the input device 408 and for data generated by the processing unit 404 .
  • the working memory 418 also contains additional memory for storing the RLOS 324 and UDOS 326 signals at the time the image data was captured by the image sensor 304 ; and additional information conventionally associated with the capture process, such as exposure and focus settings, time and date, statistical data, and the presence of any defective pixels, rows or columns within the image sensor 304 .
  • the storage memory 420 preferably provides space for storing multiple sets of image data, until the images are off-loaded from the camera 200 via the I/O interface 414 .
  • the storage memory 420 sets a maximum image data holding capacity of the camera 200 .
  • additional memory cards could also be coupled to the internal bus 402 , providing even more image data storage capability.
  • Such an additional memory card could be a non-volatile flash memory card.
  • the volatile memory data structure 417 comprises an image data field 419 for storing the captured image data, an RLOS signal data field 421 for storing the RLOS 324 signal, an UDOS signal data field 423 for storing the UDOS 326 signal and a miscellaneous data field 425 for storing the exposure and focus settings, time and date, statistical data, and the presence of any defective image sensor 304 pixels, rows or columns.
  • the interactions of each of all these data fields 419 , 421 , 423 , 425 with the camera 200 is described in detail below.
  • the non-volatile memory 406 comprises an auto-rotate unit 422 , an image processing unit 424 , an image capture unit 428 and an operating system unit 426 .
  • the image capture unit 428 controls the imaging sub-system's 204 focus and aperture settings; captures the image data; routes the image data into the frame buffer 416 ; routes the exposure and focus settings, time and date, statistical data, and the presence of any defective image sensor 304 pixels, rows or columns into the miscellaneous data field 425 ; generates additional rows and columns of image data within the frame buffer 416 if required; monitors the RLOS 324 and UDOS 326 ; and sets the RLOS signal 421 data field and the UDOS signal 423 data field based on the RLOS 324 and UDOS 326 outputs.
  • the image capture unit 428 corrects any pixel defects within the image sensor 304 using the information stored in the miscellaneous data field 425 before passing the image data to the auto-rotate unit 422 .
  • image processing unit 424 corrects any pixel defects within the image sensor 304 using the information stored in the miscellaneous data field 425 after receiving the image data from the auto-rotate unit 422 .
  • the defective image sensor 304 pixel information must also be rotated by the auto-rotate unit 422 in the same manner as for the image data, described below.
  • the image capture unit 428 preferably is designed in two embodiments, a hardware embodiment and a software embodiment; however, the hardware embodiment is preferred.
  • the image sensor 304 is comprised of at least one more extra row and column than the image processing unit 424 is designed to process.
  • the image processing unit 424 is designed to process a 480 by 640 pixel signal array
  • the image sensor 304 must be at least a 481 by 641 pixel array (i.e. “i” is 481 and “j” is 641 in FIG. 3C ).
  • the discussion that follows on the auto-rotate unit 422 makes clear when and why the additional row and column is required.
  • the software embodiment is required when the image sensor 304 lacks any additional rows and columns beyond those that the image processing unit 424 is designed to process.
  • the image capture unit 428 must generate an additional row and column of image data. (For non-Bayer pattern image data, a straightforward rotation is performed as is described below and an additional row and column is not required.)
  • the image capture unit 428 must generate an additional row and column of pixels.
  • the additional row generated corresponds to row r i (i.e. GRGRGR) in FIG.
  • the additional row and column may be generated in any number of ways, including: setting the additional pixels to black; creating a duplicate of a nearby line of pixels with the same pixel pattern (i.e. two pixel lines over); generating a duplicate of the nearest color (i.e. G's would be copied from one pixel line over while R's or B's would be copied from two pixel lines over); setting the pixel values based on a filtering algorithm which looks at a number of nearby pixels; or setting the additional row and column of pixels randomly.
  • the auto-rotate unit 422 transforms the captured image data into the rotated image data for further processing by the image processing unit 424 .
  • the image processing unit 424 receives the rotated image data from the auto-rotate unit 422 and transforms it into processed image data, ready for saving in the storage memory 420 .
  • the operating system unit 426 is coupled to the internal bus 402 and preferably comprises a conventional set of program instructions for controlling the configuration and usage of the computer's 208 hardware resources. The operations performed by the auto-rotate unit 422 and the image processing unit 424 are described in more detail below.
  • FIGS. 5A , 5 B and 5 C a graphical representation is shown in FIG. 5A illustrating portrait_left image data within the frame buffer 416 ; a graphical representation is shown in FIG. 5B illustrating portrait_right image data within the frame buffer 416 ; and a graphical representation is shown in FIG. 5C illustrating landscape image data within the frame buffer 416 .
  • FIGS. 5A , 5 B and 5 C all show the same image data 419 within the frame buffer data structure 417 filled with different sets of captured image data and graphically positioned in the orientation in which the camera 200 was held at the time the captured image data was generated.
  • the shaded areas represent a subset of pixel signals within the image data field 419 that the auto-rotate unit 422 selects to be sent to the image processing unit 424 as the rotated image data.
  • the auto-rotate unit 422 preferably comprises program instructions stored in the non-volatile memory 406 that are executed by the processing unit 404 .
  • the auto-rotate unit 422 controls the flow of data between the frame buffer 416 and the image processing unit 424 .
  • the auto-rotation unit 422 accesses the RLOS signal 421 data field and UDOS signal 423 data field from the frame buffer data structure 417 ; and, based on this orientation data, selects either a portrait_left spooling routine, a portrait_right spooling routine or a landscape spooling routine.
  • the spooling routines select-out and feed the captured image data stored in the image data field 419 to the image processing unit 424 .
  • “Spooling” is here defined as a routine for transferring data from one unit or device to a second unit or device. It is through these spooling routines that the auto-rotate unit 422 transforms the captured image data into the rotated image data. While the effect of the auto-rotate unit 422 is only described below with reference to the captured image data, some of the additional information stored in the working memory 418 (such as the location of any defective pixels, rows or columns within the image sensor 304 ) will also be rotated, as described above. This additional information is then used by the image processing unit 424 . Alternatively, a defective pixel correction algorithm can be applied to the image data prior to rotation of the image data. Each of the different spooling routines are described in detail below.
  • the auto-rotate unit 422 determines the image sensor's 304 orientation at the time the image was captured, by accessing the RLOS signal 421 and UDOS signal 423 data fields. Next, if the RLOS signal 421 data field contains a portrait_left signal and the UDOS signal 423 data field contains a level signal, the auto-rotate unit 422 selects the portrait_left spooling routine. However, if the RLOS signal 421 data field contains a portrait_right signal and the UDOS signal 423 data field contains a level signal, the auto-rotate unit 422 selects the portrait_right spooling routine.
  • the auto-rotate unit 422 selects the landscape spooling routine.
  • the three spooling routines within the auto-rotate unit 422 are now discussed below.
  • FIG. 5A shows an i-row by j-column set of captured image data in a portrait_left orientation.
  • the “TOP” of the portrait_left orientation corresponds to column c 2 .
  • the “row” and “column” designations defined for the image sensor 304 in FIG. 3C are retained for clarity in FIGS. 5A , 5 B and 5 C even though the camera has been rotated into the portrait_left orientation.
  • Conventional image processing units are designed to receive image data in a constant pixel pattern format.
  • the image processing unit 424 must receive the image data from the image data field 419 starting with a “GRGRGR” line and followed by a “BGBGBG” line, in an alternating line-by-line pattern. Therefore, a subset of the image data field 419 is selected by the portrait_left spooling routine, as shown by the shaded gray area in FIG. 5A , to be sent to the image processing unit 424 .
  • the shaded area of FIG. 5A is defined from rows r 1 to r i ⁇ 1 , and from columns c 2 to c j .
  • the total array size of the shaded area is therefore comprised of i ⁇ 1 number of rows and j ⁇ 1 number of columns.
  • the portrait_left spooling routine defines the shaded area of c 2 as the top line of the rotated image data and configures the image processing unit 424 to accept a line length of i ⁇ 1 pixels.
  • the portrait_left spooling routine first transfers the pixel signal in the image data field 419 location (R i ⁇ 1 , c 2 ) to the image processing unit 424 . Decrementing the row number by one, the portrait_left spooling routine next transfers the pixel signal at location (r i ⁇ 2 , c 2 ) to the image processing unit 424 , and so on until pixel (r 1 , c 2 ) has been transferred.
  • the portrait_left spooling routine increments the column by one to c 3 and resets the row to r i ⁇ 1 in preparation for spooling the next line of pixel signals (having a length of i ⁇ 1) to the image processing unit 424 , in the same manner as the first line (having a length of i ⁇ 1) was spooled.
  • the portrait_left spooling routine continues to increment the column number and spool the next line of pixel signals (having a length of i ⁇ 1) to the image processing unit 424 until column c j has been spooled.
  • the pixel signals within either row r i or column c 1 are not sent to the image processing unit 424 since the image processing unit 424 is preferably designed to process only an i ⁇ 1 by j ⁇ 1 array of pixel signals.
  • the entire set of pixel signals representing a portrait_left image has been transferred to the image processing unit 424 .
  • the portrait left image will be displayed on the image display 100 so that the “TOP” of the portrait_left image corresponds to the top 102 of the image display 100 .
  • FIG. 5B shows an i-row by j-column set of captured image data in a portrait_right orientation. As shown, the “TOP” of the portrait_right orientation corresponds to column c j ⁇ 1 .
  • a subset of the image data field 419 is selected by the portrait_right spooling routine, as shown by the shaded gray area in FIG. 5B , to be sent to the image processing unit 424 .
  • the shaded area of FIG. 5B is defined from rows r 2 to r i , and from columns c 1 to c j ⁇ 1 .
  • the total array size of the shaded area is therefore comprised of i ⁇ 1 number of rows and j ⁇ 1 number of columns.
  • the portrait_right spooling routine defines the shaded area of c j ⁇ 1 as the top line of the rotated image data and configures the image processing unit 424 for a line length of i ⁇ 1 pixels.
  • the portrait_right spooling routine first transfers the pixel signal in the image data field 419 location (r 2 , c j ⁇ 1 ) to the image processing unit 424 .
  • the portrait_right spooling routine next transfers the pixel signal at location (r 3 , c j ⁇ 1 ) to the image processing unit 424 , and so on until pixel (r i , c j ⁇ 1 ) has been transferred.
  • the portrait_right spooling routine then decrements the column by one to c j ⁇ 2 and resets the row to r 2 in preparation for spooling the next line of pixel signals (having a length of i ⁇ 1) to the image processing unit 424 , in the same manner as the first line (having a length of i ⁇ 1) was spooled.
  • the portrait_right spooling routine continues to decrement the column number and spool the next line of pixel signals (having a length of i ⁇ 1) to the image processing unit 424 until column c 1 has been spooled.
  • the entire set of pixel signals representing a portrait_right image has been transferred to the image processing unit 424 .
  • the portrait_right image will be displayed on the image display 100 so that the “TOP” of the portrait_right image corresponds to the top 102 of the image display 100 .
  • FIG. 5C shows an i-row by j-column set of captured image data in a landscape orientation. As shown, the “TOP” of the landscape orientation corresponds to r 1 .
  • a subset of the image data field 419 is selected by the landscape spooling routine, as shown by the shaded gray area in FIG. 5C , to be sent to the image processing unit 424 .
  • the shaded area of FIG. 5C is defined from rows r 1 to r i ⁇ 1 , and from columns c 1 to c j ⁇ 1 .
  • the total array size of the shaded area is therefore comprised of i ⁇ 1 number of rows and j ⁇ 1 number of columns.
  • the landscape spooling routine defines the shaded area of r 1 as the top line of the rotated image data and configures the image processing unit 424 for a line length of j ⁇ 1 pixels.
  • the shaded gray area representing the rotated image data could be positioned over different sets of pixel signals within the image data field 419 , again subject to the constraint that the top line begin with the “GRGRGR” pattern.
  • the landscape spooling routine first transfers the pixel signal in the image data field 419 location (r 1 , c 1 ) to the image processing unit 424 .
  • the landscape spooling routine next transfers the pixel signal at location (r 1 , c 2 ) to the image processing unit 424 , and so on until pixel (r 1 , c j ⁇ 1 ) has been transferred.
  • the landscape spooling routine increments the row by one to r 2 and resets the column to c 1 in preparation for spooling the next line of pixel signals (having a length of j ⁇ 1) to the image processing unit 424 , in the same manner as the first line (having a length of j ⁇ 1) was spooled.
  • the landscape spooling routine continues to increment the row number and spool the next line of pixel signals (having a length of j ⁇ 1) to the image processing unit 424 until row r i ⁇ 1 has been spooled.
  • the entire set of pixel signals representing a landscape image has been transferred to the image processing unit 424 .
  • the landscape image will be displayed on the image display 100 so that the “TOP” of the landscape image corresponds to the top 102 of the image display 100 .
  • the image processing unit 424 preferably comprises program instructions stored in the non-volatile memory 406 that are executed using the processing unit 404 .
  • the image processing unit 424 receives the rotated image data from the auto-rotate unit 422 , performs conventional image processing operations (such as white balancing, reconstruction, color correction, gamma correction, sharpening and compression) on the rotated image data; generates processed image data; and either saves the processed image data to the storage memory 420 or outputs it to a host computer (not shown) via the I/O interface 414 .
  • conventional image processing operations such as white balancing, reconstruction, color correction, gamma correction, sharpening and compression
  • the image processing unit 424 is preferably implemented such that it must receive all the image data spooled from the frame buffer 416 starting with a “GRGRGR” line followed by a “BGBGBG” line in an alternating line-by-line pattern.
  • This is the image processing unit's 424 design limitation which drives the auto-rotate unit's 422 particular pixel selection routines described above.
  • a different image processing unit 424 could be implemented which requires that the image data be spooled from the frame buffer 416 starting with a “GBGBGB” line followed by a “RGRGRG” line or any combination of the Bayer pattern.
  • the portrait_left spooling routine would start with pixel signal r i ⁇ 1 , c 1 ), spool column c 1 , increment the column to c 2 , spool column c 2 and so on;
  • the portrait_right spooling routine would start with pixel signal (r 1 , c j ⁇ 1 ), spool column c j ⁇ 1 , decrement the column to c j ⁇ 2 , spool column c j ⁇ 2 and so on;
  • the landscape spooling routine would start with pixel signal (r 1 , c 1 ), spool row r 1 , increment the row to r 2 , spool row r 2 and so on. In all three cases above, the extra or provided row r i and extra or provided column c j would not be transferred.
  • FIGS. 6A , 6 B, 6 C and 6 D a flowchart of a preferred method for rotating the display orientation of a captured image is shown.
  • the method begins in FIG. 6A with step 600 where the image capture unit 428 captures a set of image data and a set of image sensor 304 orientation data approximately simultaneously.
  • the RLOS 421 and UDOS 423 orientation signals are recorded when the image data capture occurs in order to insure that the orientation sensor information accurately reflects the actual position of the image sensor 304 .
  • the image capture unit 428 transfers the captured image data and the image sensor 304 orientation data into the volatile memory 410 .
  • Step 603 the image capture unit 428 generates an additional row and column of image data if the captured image data does not already include an extra row and column of image data.
  • the auto-rotate unit 422 determines the orientation of the captured image data. If in step 606 the captured image data is in a portrait_left orientation, the method proceeds to step 612 , otherwise the method continues to step 608 . If in step 608 the captured image data is in a portrait_right orientation, the method proceeds to step 628 , otherwise the method proceeds to step 644 .
  • the auto-rotate unit 422 configures the image processing unit 424 to accept an image data line length corresponding to a portrait_left image.
  • the auto-rotation unit 422 initializes a variable named “column” stored in the working memory 418 to a first pixel column (i.e. to column c 2 ), within the image data field 419 , required by the image processing unit 424 .
  • the auto-rotation unit 422 initializes a variable named “row” stored in the working memory 418 to a row (i.e. to row r i ⁇ 1 ) within the image data field 419 containing a first pixel color required by the image processing unit 424 .
  • step 618 the auto-rotate unit 422 transfers the captured image data in the image data field 419 location (r row , c column ) to the image processing unit 424 .
  • step 620 the auto-rotate unit 422 decrements “row” to a row containing a next pixel color required by the image processing unit 424 .
  • step 622 if “last row” has been transferred, the method proceeds to step 623 , otherwise the method returns to step 618 .
  • “last row” is “r 1 ” as shown in FIG. 5A .
  • step 623 the image processing unit 424 performs any required image processing on the transferred image data. Step 624 then increments “column” to a next pixel column required by the image processing unit 424 . Finally, if in step 626 “last column” has not yet been transferred the method returns to step 616 , otherwise the method ends. In the preferred embodiment “last column” is “c j ,” as shown in FIG. 5A .
  • the auto-rotate unit 422 configures the image processing unit 424 to accept an image data line length corresponding to a portrait_right image.
  • the auto-rotation unit 422 initializes a variable named “column” stored in the working memory 418 to a first pixel column (i.e. to column c j ⁇ 1 ), within the image data field 419 , required by the image processing unit 424 .
  • the auto-rotation unit 422 initializes a variable named “row” stored in the working memory 418 to a row (i.e. to row r 2 ) within the image data field 419 containing a first pixel color required by the image processing unit 424 .
  • step 634 the auto-rotate unit 422 transfers the captured image data in the image data field 419 location (r row , c column ) to the image processing unit 424 .
  • step 636 the auto-rotate unit 422 increments “row” to a row containing a next pixel color required by the image processing unit 424 .
  • step 638 if “last row” has been transferred, the method proceeds to step 639 , otherwise the method returns to step 634 .
  • “last row” is “r i ,” as shown in FIG. 5B .
  • step 639 the image processing unit 424 performs any required image processing on the transferred image data.
  • Step 640 then decrements “column” to a next pixel column required by the image processing unit 424 .
  • step 642 “last column” has not yet been transferred the method returns to step 632 , otherwise the method ends.
  • “last column” is “c 1 ,” as shown in FIG. 5B .
  • the auto-rotate unit 422 configures the image processing unit 424 to accept an image data line length corresponding to a landscape image.
  • the auto-rotation unit 422 initializes a variable named “row” stored in the working memory 418 to a first pixel row (i.e. to row r 1 ), within the image data field 419 , required by the image processing unit 424 .
  • the auto-rotation unit 422 initializes a variable named “column” stored in the working memory 418 to a column (i.e. to column c 1 ) within the image data field 419 containing a first pixel color required by the image processing unit 424 .
  • step 650 the auto-rotate unit 422 transfers the captured image data in the image data field 419 location (r row , c column ) to the image processing unit 424 .
  • step 652 the auto-rotate unit 422 increments “column” to a column containing a next pixel color required by the image processing unit 424 .
  • step 654 if “last column” has been transferred, the method proceeds to step 655 , otherwise the method returns to step 650 .
  • “last column” is “c j ⁇ 1 ,” as shown in FIG. 5C .
  • step 655 the image processing unit 424 performs any required image processing on the transferred image data.
  • Step 656 increments “row” to a next pixel row required by the image processing unit 424 .
  • step 658 “last row” has not yet been transferred the method returns to step 648 , otherwise the method ends.
  • “last row” is “r i ⁇ 1 ,” as shown in FIG. 5C .

Abstract

The apparatus of the present invention preferably comprises an image sensor, an orientation sensor, a memory and a processing unit. The image sensor is used for generating captured image data. The orientation sensor is coupled to the image sensor, and is used for generating signals relating to the position of the image sensor. The memory, has an auto-rotate unit comprising program instructions for transforming the captured image data into rotated image data in response to the orientation sensor signals. The processing unit, executes program instructions stored in the memory, and is coupled to the image sensor, the orientation sensor and the memory. The method of the present invention preferably comprises the steps of: generating image data representative of an object with an image sensor; identifying an orientation of the image sensor relative to the object during the generating step; and selectively transferring the image data to an image processing unit in response to the identifying step.

Description

Notice: More than one reissue application has been filed for the reissue of U.S. Pat. No. 6,011,585. This reissue application is a continuation of U.S. Pat. No. RE41,088 (application Ser. No. 11/206,279), which is a reissue of U.S. Pat. No. RE38,896 (application Ser. No. 10/040,249).
This application relates to co-pending U.S. patent application Ser. No. 08/355,031, entitled A System and Method For Generating a Contrast Overlay as a Focus Assist for An Imaging Device, filed on Dec. 13, 1994, by inventor Eric C. Anderson; and U.S. patent application Ser. No. 08/384,012, entitled Apparatus and Method for Camera Image and Orientation Capture, filed on Feb. 6, 1995, by inventor Scott Fullam. The subject matter of the two applications described above is hereby incorporated by reference. These related applications are commonly assigned to Apple Computer, Inc.
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates generally to an apparatus and method for orienting an image. More particularly, the present invention is an apparatus and method for rotating a captured image to an orientation corresponding to an imaging subsystem's orientation at the time in which the image was captured.
2. Description of the Background Art
When a digital camera captures an image of an object, the camera's frame of reference with respect to the object produces a desired image orientation. Two conventional image orientations exist, namely, a landscape orientation and a portrait orientation. Referring now to FIG. 1A, a prior art graphical representation of an object in a landscape orientation is shown, in which the image's width is greater than its height. Referring also now to FIG. 1B, a prior art graphical representation of the object in a portrait orientation is shown, in which the image's height is greater than its width.
In a digital camera, an image sensor is comprised of light-sensitive devices, such as charge-coupled devices (CCD), that convert an optical image into a set of electrical signals. Referring now to FIG. 1C, a prior art image sensor is shown having a 480 row by 640 column matrix of light collecting pixels. The image sensor is orientated within a body of the digital camera so that a first row of pixels (i.e. row r1) corresponds to the bottom of an upright and level digital camera. This image sensor orientation is required since as an optical image passes through a conventional camera lens it is inverted. The image sensor in a color digital camera typically consists of an array of green (G), red (R) and blue (B) pixels. Alternative embodiments include sensors detecting cyan, magenta, yellow and green as is typically used in video cameras. Other image sensor configurations are also used. The pixels that comprise the image sensor are arranged into various patterns or formats. A common image sensor format is called a Bayer pattern. The Bayer pattern format is defined as a pixel pattern comprised of 50% green-light responsive pixels, 25% red-light responsive pixels and 25% blue-light responsive pixels arranged in alternating rows of “GRGRGR” and “BGBGBG,” as shown in FIG. 1C. Throughout this specification, “G” means “green,” “R” means “red,” and “B” means “blue.”
Once an image is captured by the digital camera, a set of pixel signals corresponding to the image received by the pixels is processed by an image processing algorithm. Image processing routines are conventionally designed to process pixel signals line-by-line, conforming to a specific and unchanging pixel pattern format. Thus, image sensors manufactured with the Bayer pixel pattern format will be coupled to image processing routines specifically designed to accept pixel signals in alternating sequences of “GRGRGR” and “BGBGBG.” Due to possible imperfections in the outer rows and columns of pixels that make up the image sensor, conventional digital cameras sometimes have image sensors large enough so that one or more lines of pixels at the sides of the image sensor can be ignored.
Referring now to FIG. 1D, a prior art graphical representation is shown of the object as captured in the portrait orientation and output upon an image display 100. The image display 100 is typically a conventional stand-alone, personal computer CRT having a top 102, a right side 104, a left side 106 and a bottom 108.
As previously described, the image processing routines within digital cameras are conventionally designed to process pixel signals on a line-by-line basis according to only one pixel pattern format. Thus, conventional digital cameras process images as if they were always in a landscape format. In the presentation of the landscape image of FIG. 1A upon the image display, the “TOP” (i.e. “top portion”) of the landscape image would correspond to the top 102 of the FIG. 1D image display 100. Such an orientation for landscape images on the image display 100 is quite natural and is acceptable for ease of viewing the image. However, the presentation of the portrait image of FIG. 1B upon the image display results in the “TOP” of the portrait image corresponding to either the right side 104 or the left side 106 of the image display 100, depending on how the user had rotated the digital camera. FIG. 1D explicitly shows the case where the “TOP” of the portrait image corresponds to the right side 104 of the image display 100. This “sideways” orientation for portrait images on the image display 100 is unacceptable and unnatural. This undesirable by-product of conventional digital cameras requires that the user rotate portrait images so that they are presented in a more natural and upright viewing angle on the image display 100. It should be noted that this problem also exists for digitized images from conventional film cameras. Traditional rotation methods also have the disadvantage of requiring two blocks of memory to rotate a stored image.
What is needed is an apparatus and method that efficiently and automatically rotates a stored photographic image to correspond to the orientation in which the photographic image was captured.
SUMMARY OF THE INVENTION
The present invention is an apparatus and method for rotating the display orientation of a captured image. The apparatus of the present invention preferably comprises an image sensor, an orientation sensor, a memory and a processing unit. The image sensor is used for capturing image data. The orientation sensor is coupled to the image sensor, and is used for generating a portrait signal if the image sensor is positioned in a portrait orientation relative to the object. The memory, has an auto-rotate unit comprising program instructions for transforming the captured image data into rotated image data in response to the portrait signal. The processing unit, is used for executing program instructions stored in the memory, and is coupled to the image sensor, the orientation sensor and the memory.
The method of the present invention preferably comprises the steps of: generating image data representative of an object with an image sensor; identifying an orientation of the image sensor relative to the object during the generating step; and selectively transferring the image data to an image processing unit in response to the identifying step.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1A, is a prior art graphical representation of an object in a landscape orientation;
FIG. 1B, is a prior art graphical representation of the object in a portrait orientation;
FIG. 1C, is a prior art 480 row by 640 column image sensor;
FIG. 1D, is a prior art graphical representation of the object as captured in the portrait orientation and output upon an image display;
FIG. 2, is a block diagram of a preferred embodiment of an apparatus for rotating the display orientation of a captured image;
FIG. 3A, is a block diagram of a preferred embodiment of an imaging subsystem of the present invention;
FIG. 3B, is a first graphical representation of a preferred embodiment of an image sensor disposed within the present invention;
FIG. 3C, is a second graphical representation of a preferred embodiment of the image sensor within the present invention;
FIG. 4A, is a block diagram of a preferred embodiment of a processing and storage subsystem of the present invention;
FIG. 4B, is a block diagram of a preferred embodiment of a volatile memory within the processing and storage sub-system;
FIG. 4C, is a block diagram of a preferred embodiment of a frame buffer data structure within a frame buffer;
FIG. 4D, is a block diagram of the preferred embodiment of a non-volatile memory within the processing and storage subsystem;
FIG. 5A, is a graphical representation of a preferred embodiment of portrait_left image data within the frame buffer data structure;
FIG. 5B, is a graphical representation of a preferred embodiment of portrait_right image data within the frame buffer data structure;
FIG. 5C, is a graphical representation of a preferred embodiment of landscape image data within the frame buffer data structure; and
FIGS. 6A, 6B, 6C and 6D, are a flowchart of a preferred method for rotating the display orientation of a captured image.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
The present invention is an apparatus and method for rotating the display orientation of a captured image.
Referring now to FIG. 2, a block diagram is shown illustrating a camera 200 for rotating a display orientation of a captured image. In the preferred embodiment, the camera 200 is a digital camera, such as a QuickTake 150, by Apple Computer of Cupertino, Calif. The camera 200 preferably comprises an imaging subsystem 204, a bus 206 and a processing and storage subsystem 208. Reflected light from an object 202 is conventionally captured by the imaging subsystem 204 via a button press or some other action. The captured image data is transferred over the bus 206 to the processing and storage subsystem 208, which stores the data in internal memory. The bus 206 also passes various status and control signals between the imaging subsystem 204 and the processing and storage subsystem 208, as will be further discussed below.
Referring now to FIG. 3A, a block diagram is shown illustrating the imaging subsystem 204 of the present invention. The imaging subsystem 204 preferably comprises a lens 300 having an iris, an optical filter 302, an image sensor 304, a timing generator 306, an analog signal processor (ASP) 308, an analog-to-digital (A/D) converter 310, a digital signal processor (DSP) 320, a right/left orientation sensor (RLOS) 324, an up/down orientation sensor (UDOS) 326 and one or more motors 312. U.S. patent application Ser. No. 08/355,031, entitled A System and Method For Generating a Contrast Overlay as a Focus Assist For An Imaging Device, filed on Dec. 13, 1994 is incorporated herein by reference and provides a detailed discussion of the preferred elements in the imaging subsystem 204, with the exception of the RLOS 324 and the UDOS 326. U.S. patent application Ser. No. 08/384,012, entitled Apparatus and Method for Camera image and Orientation Capture, filed on Feb. 6, 1995 is incorporated herein by reference and provides a detailed discussion of various embodiments of the RLOS 324 and the UDOS 326, which are further discussed below. Briefly, the imaging subsystem 204 captures an image of the object 202 via light impacting the image sensor 304 along an optical path 314. The image sensor 304 in turn generates a set of pixel signals representative of the captured image data. After being processed by the ASP 308, the A/D converter 310 and the DSP 320; the captured image data passes over the bus 206 to the processing and storage subsystem 208. The functions performed by the DSP 320 may alternatively be performed in the processing and storage subsystem 208.
Referring now to FIG. 3B, a graphical representation is shown illustrating the image sensor 304 disposed within the camera 200. FIG. 3B shows the camera 200 maintained in a landscape orientation while directly facing the object 202. The image sensor 304 has a front 338 and a top 336, which are juxtaposed with a front 334 and a bottom 332 of the camera 200 respectively. The front side 338 of the image sensor 304 comprises light-sensitive pixels, which capture an image received along the optical path 314 and through the lens 300 mounted upon the camera 200. It should be noted that the image recorded by the image sensor 304 is inverted relative to the object by the lens 300. The front 338 of the image sensor 304 preferably forms a planar surface as shown in perspective in FIG. 3B. When the image sensor 304 is oriented as shown in FIG. 3B, a landscape image of the object 202 is captured. When the camera 200 is rotated either 90° clockwise or 90° counterclockwise about the x-axis, a portrait image of the object 202 is captured.
Referring now to FIG. 3C, a graphical representation is shown illustrating the image sensor 304, which has the top 336, a right side 342, a left side 340 and a bottom 344. The image sensor 304 is comprised of a plurality of pixels arranged in an i-row by j-column array. In the preferred embodiment, the pixels are arranged in a Bayer pattern format. Alternatively the present invention may be applied to image sensors of various sizes and image processing routines designed to process pixel signals arranged in patterns or formats different from the Bayer pattern.
As stated above, the RLOS 324 (i.e. the right/left orientation sensor) and the UDOS 326 (i.e. the up/down orientation sensor) are disposed within the imaging subsystem 204. Both the RLOS 324 and the UDOS 326 are physically coupled to the image sensor 304 and electrically coupled to the DSP 320. The RLOS 324 monitors whether the camera 200 is in a landscape orientation or a portrait orientation. If the camera 200 is in a portrait orientation, the RLOS 324 identifies whether the camera 200 has been rotated clockwise or counterclockwise, as viewed from the rear of the camera 200. In response to such camera 200 rotation, the RLOS 324 generates and transmits either a landscape signal, a portrait_left signal or a portrait_right signal to the DSP 320. More specifically, if the camera 200 is held in the landscape orientation shown in FIGS. 1A and 3B, the RLOS 324 generates the landscape signal, since the top 336 of the image sensor 304 corresponds to the “TOP” of the object 202. However, if the camera 200 is rotated 90° clockwise about the x-axis, as viewed from the rear of the camera 200 shown in FIG. 3B, the RLOS 324 generates the portrait_right signal, since now the right side 342 of the image sensor 304 corresponds to the “TOP” of the object 202. And, if the camera 200 is rotated 90° counter-clockwise about the x-axis, as viewed from the rear of the camera 200, the RLOS 324 generates the portrait_left signal, since now the left side 340 of the image sensor 304 corresponds to the “TOP” of the object 202.
The UDOS 326 monitors whether the camera 200 is in either a level orientation or an off-level orientation. In response to a movement of the camera 200, the UDOS 324 generates and transmits either a level signal or an off-level signal to the DSP 320. Specifically, if the camera 200 is held in the landscape orientation shown in FIG. 3B, the UDOS 324 generates the level signal, since the front 334 of the camera 200 directly faces the object 202. If the camera 200 is rotated more than 45° clockwise or counter-clockwise about the y-axis, shown in FIG. 3B, the UDOS 324 preferably generates the off-level signal, since the front 334 of the camera 200 now points either above or below the x-y plane. Alternative embodiments of the present invention can change the specific measure of rotation necessary to generate the off-level signal from 45° to any number from 0° to 180°.
Both the RLOS 324 and UDOS 326 sensors are preferably identical in their structure and function. Their placement relative to the image sensor 304 determines whether the signal generated by the orientation sensor is one of the RLOS 324 signals or the UDOS 326 signals. The DSP 320 receives both the RLOS 324 and the UDOS 326 signals and transmits them to the processing and storage subsystem 208 over the bus 206. While the preferred embodiment of the present invention incorporates the orientation sensors 324, 326, those skilled in the art will recognize that the orientation sensors 324, 326 are not required to practice the present invention, if the processing and storage subsystem 208 prompts the photographer for the camera's 200 orientation at the time an image is captured. Alternatively, an embodiment using only the RLOS 324 enables practicing of the present invention, but this alternative embodiment results in loss of the off-level signal. However, such an embodiment using only the RLOS 324 is still useful for most applications requiring only landscape and portrait orientation using an approximately level camera 200. A further alternative embodiment includes an RLOS 324 which only generates the landscape, portrait_left, or portrait_right signals if the camera 200 is within a predetermined level range.
Referring now to FIG. 4A, a block diagram is shown illustrating the processing and storage subsystem 208 of the present invention. The processing and storage subsystem 208 comprises a buffer 400, a processing unit 404, a non-volatile memory 406, an input device 408, a volatile memory 410 and an I/O interface 414, coupled together via an internal bus 402. In the preferred embodiment, the processing and storage subsystem 208 is conventionally embedded as part of the camera 200. Alternatively, the processing and storage subsystem 208 may be a desktop type computer.
The buffer 400 is preferably a first-in, first-out buffer for temporarily holding the captured image data and the imaging subsystem 204 control signals passed between the DSP 320 and the processing and storage subsystem 208. The buffer 400 has data lines that are coupled to both the bus 206 and the internal bus 402. The processing unit 404 executes programming instructions stored in the non-volatile memory 406 and the volatile memory 410 to perform various operations. The non-volatile memory 406 stores a set of computer readable program instructions for controlling how the processing unit 404 accesses, transforms and outputs the image data, as described in detail below with reference to FIG. 4D. While the non-volatile memory 406 is preferably a Read Only Memory (ROM), alternatively the non-volatile memory 406 could be replaced with a functionally equivalent computer useable medium such as: a compact disk and drive; a floppy disk and drive; or a memory card. Additional details on the function and operation of both the non-volatile memory 406 and the volatile memory 410 are provided below with reference to FIGS. 4B and 4D.
The input device 408 is preferably a series of control buttons, responsive to user inputs, which generates signals that are translated by the processing unit 404 into control signals to adjust the focus and other operating parameters of the imaging subsystem 204. As mentioned above, while the preferred embodiment of the camera 200 incorporates the RLOS 324 and UDOS 326, an alternative embodiment of the present invention prompts the user to manually input, via the input device 408, the imaging subsystem's 204 orientation at the time the captured image data was generated. Other alternative embodiments incorporating the automatic RLOS 324 and UDOS 326 sensors could provide for an override function that instructs the processing and storage subsystem 208 to ignore the orientation signals generated by the RLOS 324 and UDOS 326 sensors, enabling the user to retain full manual control over the final orientation of the captured image data on the image display 100. The I/O Interface 414 is coupled to the internal bus 402 and has an external port connector for coupling the processing and storage subsystem 208 with a host computer (not shown) for downloading image data stored in the volatile memory 410 and thus freeing up room in the volatile memory 410 for additional sets of processed image data. In the second and alternative embodiment discussed above where the processing and storage subsystem 208 is a desktop type computer, the input device 408 will also include a keyboard and mouse type controller.
Referring now to FIG. 4B, a block diagram is shown illustrating a volatile memory 410 within the processing and storage subsystem 208. The volatile memory 410 contains a frame buffer 416, working memory 418 and storage memory 420 coupled to the internal bus 402. The volatile memory 410 is preferably a Random Access Memory (RAM).
The frame buffer 416 is preferably comprised of a dedicated space of contiguous memory comprising an i-row by j-column area for storing image data. There is preferably a constant one-to-one correspondence between the pixels comprising the image sensor 304 array and the storage locations within the frame buffer 416 area. Alternatively, the pixel signals from the image sensor 304 array could be stored within the frame buffer 416 in a non-contiguous (i.e. sectored) memory format, as is commonly known in the art. In the preferred embodiment, i and j are set equivalent to the size of the image sensor 304. Since the preferred image sensor 304 is a 481 by 641 array, i is set to 481 and j is set to 641. In alternative embodiments where the image sensor 304 is only a 480 by 640 array, the frame buffer 416 will still preferably be a 481 by 641 array since, as is discussed below, an extra row and column is generated by the processing and storage subsystem 208.
The working memory 418 preferably provides a temporary space for storing data received from the input device 408 and for data generated by the processing unit 404. The working memory 418 also contains additional memory for storing the RLOS 324 and UDOS 326 signals at the time the image data was captured by the image sensor 304; and additional information conventionally associated with the capture process, such as exposure and focus settings, time and date, statistical data, and the presence of any defective pixels, rows or columns within the image sensor 304.
The storage memory 420 preferably provides space for storing multiple sets of image data, until the images are off-loaded from the camera 200 via the I/O interface 414. The storage memory 420 sets a maximum image data holding capacity of the camera 200. Alternatively, additional memory cards could also be coupled to the internal bus 402, providing even more image data storage capability. Such an additional memory card could be a non-volatile flash memory card.
Referring now to FIG. 4C, a block diagram is shown illustrating a memory map of a volatile memory data structure 417 within the volatile memory 410. The volatile memory data structure 417 comprises an image data field 419 for storing the captured image data, an RLOS signal data field 421 for storing the RLOS 324 signal, an UDOS signal data field 423 for storing the UDOS 326 signal and a miscellaneous data field 425 for storing the exposure and focus settings, time and date, statistical data, and the presence of any defective image sensor 304 pixels, rows or columns. The interactions of each of all these data fields 419, 421, 423, 425 with the camera 200 is described in detail below.
Referring now to FIG. 4D, a block diagram is shown illustrating the non-volatile memory 406 within the processing and storage subsystem 208. The non-volatile memory 406 comprises an auto-rotate unit 422, an image processing unit 424, an image capture unit 428 and an operating system unit 426.
The image capture unit 428 controls the imaging sub-system's 204 focus and aperture settings; captures the image data; routes the image data into the frame buffer 416; routes the exposure and focus settings, time and date, statistical data, and the presence of any defective image sensor 304 pixels, rows or columns into the miscellaneous data field 425; generates additional rows and columns of image data within the frame buffer 416 if required; monitors the RLOS 324 and UDOS 326; and sets the RLOS signal 421 data field and the UDOS signal 423 data field based on the RLOS 324 and UDOS 326 outputs. In the preferred embodiment the image capture unit 428 corrects any pixel defects within the image sensor 304 using the information stored in the miscellaneous data field 425 before passing the image data to the auto-rotate unit 422. In an alternative embodiment, image processing unit 424 corrects any pixel defects within the image sensor 304 using the information stored in the miscellaneous data field 425 after receiving the image data from the auto-rotate unit 422. In this alternative embodiment, the defective image sensor 304 pixel information must also be rotated by the auto-rotate unit 422 in the same manner as for the image data, described below.
The image capture unit 428 preferably is designed in two embodiments, a hardware embodiment and a software embodiment; however, the hardware embodiment is preferred.
Hardware Embodiment
In the hardware embodiment, the image sensor 304 is comprised of at least one more extra row and column than the image processing unit 424 is designed to process. Thus, if the image processing unit 424 is designed to process a 480 by 640 pixel signal array, then the image sensor 304 must be at least a 481 by 641 pixel array (i.e. “i” is 481 and “j” is 641 in FIG. 3C). The discussion that follows on the auto-rotate unit 422 makes clear when and why the additional row and column is required.
Software Embodiment
The software embodiment is required when the image sensor 304 lacks any additional rows and columns beyond those that the image processing unit 424 is designed to process. For Bayer pattern image processing, the image capture unit 428 must generate an additional row and column of image data. (For non-Bayer pattern image data, a straightforward rotation is performed as is described below and an additional row and column is not required.) Thus, for example, if the image sensor 304 is comprised of a 480 by 640 pixel array and the image processing unit 424 is designed to process a 480 by 640 array, then the image capture unit 428 must generate an additional row and column of pixels. In the preferred software embodiment, the additional row generated corresponds to row ri (i.e. GRGRGR) in FIG. 3C and the additional column generated corresponds to column cj (i.e. GBGBGB) in FIG. 3C. The additional row and column may be generated in any number of ways, including: setting the additional pixels to black; creating a duplicate of a nearby line of pixels with the same pixel pattern (i.e. two pixel lines over); generating a duplicate of the nearest color (i.e. G's would be copied from one pixel line over while R's or B's would be copied from two pixel lines over); setting the pixel values based on a filtering algorithm which looks at a number of nearby pixels; or setting the additional row and column of pixels randomly.
The auto-rotate unit 422 transforms the captured image data into the rotated image data for further processing by the image processing unit 424. The image processing unit 424 receives the rotated image data from the auto-rotate unit 422 and transforms it into processed image data, ready for saving in the storage memory 420. The operating system unit 426 is coupled to the internal bus 402 and preferably comprises a conventional set of program instructions for controlling the configuration and usage of the computer's 208 hardware resources. The operations performed by the auto-rotate unit 422 and the image processing unit 424 are described in more detail below.
Referring now to FIGS. 5A, 5B and 5C, a graphical representation is shown in FIG. 5A illustrating portrait_left image data within the frame buffer 416; a graphical representation is shown in FIG. 5B illustrating portrait_right image data within the frame buffer 416; and a graphical representation is shown in FIG. 5C illustrating landscape image data within the frame buffer 416. FIGS. 5A, 5B and 5C all show the same image data 419 within the frame buffer data structure 417 filled with different sets of captured image data and graphically positioned in the orientation in which the camera 200 was held at the time the captured image data was generated. As will be discussed in detail below, the shaded areas represent a subset of pixel signals within the image data field 419 that the auto-rotate unit 422 selects to be sent to the image processing unit 424 as the rotated image data.
The auto-rotate unit 422 preferably comprises program instructions stored in the non-volatile memory 406 that are executed by the processing unit 404. The auto-rotate unit 422 controls the flow of data between the frame buffer 416 and the image processing unit 424. First, the auto-rotation unit 422 accesses the RLOS signal 421 data field and UDOS signal 423 data field from the frame buffer data structure 417; and, based on this orientation data, selects either a portrait_left spooling routine, a portrait_right spooling routine or a landscape spooling routine. The spooling routines select-out and feed the captured image data stored in the image data field 419 to the image processing unit 424. “Spooling” is here defined as a routine for transferring data from one unit or device to a second unit or device. It is through these spooling routines that the auto-rotate unit 422 transforms the captured image data into the rotated image data. While the effect of the auto-rotate unit 422 is only described below with reference to the captured image data, some of the additional information stored in the working memory 418 (such as the location of any defective pixels, rows or columns within the image sensor 304) will also be rotated, as described above. This additional information is then used by the image processing unit 424. Alternatively, a defective pixel correction algorithm can be applied to the image data prior to rotation of the image data. Each of the different spooling routines are described in detail below.
First, the auto-rotate unit 422 determines the image sensor's 304 orientation at the time the image was captured, by accessing the RLOS signal 421 and UDOS signal 423 data fields. Next, if the RLOS signal 421 data field contains a portrait_left signal and the UDOS signal 423 data field contains a level signal, the auto-rotate unit 422 selects the portrait_left spooling routine. However, if the RLOS signal 421 data field contains a portrait_right signal and the UDOS signal 423 data field contains a level signal, the auto-rotate unit 422 selects the portrait_right spooling routine. Lastly, if the RLOS signal 421 data field contains a landscape signal and the UDOS signal 423 data field contains a level signal, or whenever the UDOS signal 423 data field contains an off-level signal, regardless of what the RLOS signal 421 data field contains, the auto-rotate unit 422 selects the landscape spooling routine. Each of the three spooling routines within the auto-rotate unit 422 are now discussed below.
If the portrait_left spooling routine is selected, the auto-rotate unit 422 interprets the captured image data within the image data field 419 as shown in FIG. 5A. FIG. 5A shows an i-row by j-column set of captured image data in a portrait_left orientation. As shown, the “TOP” of the portrait_left orientation corresponds to column c2. Note that the “row” and “column” designations defined for the image sensor 304 in FIG. 3C are retained for clarity in FIGS. 5A, 5B and 5C even though the camera has been rotated into the portrait_left orientation. Conventional image processing units are designed to receive image data in a constant pixel pattern format. Using the Bayer pattern format (assumed for the purposes of this discussion) the image processing unit 424 must receive the image data from the image data field 419 starting with a “GRGRGR” line and followed by a “BGBGBG” line, in an alternating line-by-line pattern. Therefore, a subset of the image data field 419 is selected by the portrait_left spooling routine, as shown by the shaded gray area in FIG. 5A, to be sent to the image processing unit 424. The shaded area of FIG. 5A is defined from rows r1 to ri−1, and from columns c2 to cj. The total array size of the shaded area is therefore comprised of i−1 number of rows and j−1 number of columns. Next, the portrait_left spooling routine defines the shaded area of c2 as the top line of the rotated image data and configures the image processing unit 424 to accept a line length of i−1 pixels. The portrait_left spooling routine first transfers the pixel signal in the image data field 419 location (Ri−1, c2) to the image processing unit 424. Decrementing the row number by one, the portrait_left spooling routine next transfers the pixel signal at location (ri−2, c2) to the image processing unit 424, and so on until pixel (r1, c2) has been transferred. The portrait_left spooling routine then increments the column by one to c3 and resets the row to ri−1 in preparation for spooling the next line of pixel signals (having a length of i−1) to the image processing unit 424, in the same manner as the first line (having a length of i−1) was spooled. The portrait_left spooling routine continues to increment the column number and spool the next line of pixel signals (having a length of i−1) to the image processing unit 424 until column cj has been spooled. The pixel signals within either row ri or column c1 are not sent to the image processing unit 424 since the image processing unit 424 is preferably designed to process only an i−1 by j−1 array of pixel signals. As a result of this spooling sequence, the entire set of pixel signals representing a portrait_left image has been transferred to the image processing unit 424. Furthermore, due to this specific spooling sequence, the portrait left image will be displayed on the image display 100 so that the “TOP” of the portrait_left image corresponds to the top 102 of the image display 100.
If the portrait_right spooling routine is selected, the auto-rotate unit 422 interprets the captured image data within the image data field 419 as shown in FIG. 5B. FIG. 5B shows an i-row by j-column set of captured image data in a portrait_right orientation. As shown, the “TOP” of the portrait_right orientation corresponds to column cj−1. A subset of the image data field 419 is selected by the portrait_right spooling routine, as shown by the shaded gray area in FIG. 5B, to be sent to the image processing unit 424. The shaded area of FIG. 5B is defined from rows r2 to ri, and from columns c1 to cj−1. The total array size of the shaded area is therefore comprised of i−1 number of rows and j−1 number of columns. Next, the portrait_right spooling routine defines the shaded area of cj−1 as the top line of the rotated image data and configures the image processing unit 424 for a line length of i−1 pixels. The portrait_right spooling routine first transfers the pixel signal in the image data field 419 location (r2, cj−1) to the image processing unit 424. Incrementing the row number by one, the portrait_right spooling routine next transfers the pixel signal at location (r3, cj−1) to the image processing unit 424, and so on until pixel (ri, cj−1) has been transferred. The portrait_right spooling routine then decrements the column by one to cj−2 and resets the row to r2 in preparation for spooling the next line of pixel signals (having a length of i−1) to the image processing unit 424, in the same manner as the first line (having a length of i−1) was spooled. The portrait_right spooling routine continues to decrement the column number and spool the next line of pixel signals (having a length of i−1) to the image processing unit 424 until column c1 has been spooled. Thus, the entire set of pixel signals representing a portrait_right image has been transferred to the image processing unit 424. As a result of this specific spooling sequence, the portrait_right image will be displayed on the image display 100 so that the “TOP” of the portrait_right image corresponds to the top 102 of the image display 100.
If the landscape spooling routine is selected, the auto-rotate unit 422 interprets the captured image data within the image data field 419 as shown in FIG. 5C. FIG. 5C shows an i-row by j-column set of captured image data in a landscape orientation. As shown, the “TOP” of the landscape orientation corresponds to r1. A subset of the image data field 419 is selected by the landscape spooling routine, as shown by the shaded gray area in FIG. 5C, to be sent to the image processing unit 424. The shaded area of FIG. 5C is defined from rows r1 to ri−1, and from columns c1 to cj−1. The total array size of the shaded area is therefore comprised of i−1 number of rows and j−1 number of columns. Next, the landscape spooling routine defines the shaded area of r1 as the top line of the rotated image data and configures the image processing unit 424 for a line length of j−1 pixels. Alternatively, the shaded gray area representing the rotated image data could be positioned over different sets of pixel signals within the image data field 419, again subject to the constraint that the top line begin with the “GRGRGR” pattern. The landscape spooling routine first transfers the pixel signal in the image data field 419 location (r1, c1) to the image processing unit 424. Incrementing the column number by one, the landscape spooling routine next transfers the pixel signal at location (r1, c2) to the image processing unit 424, and so on until pixel (r1, cj−1) has been transferred. The landscape spooling routine then increments the row by one to r2 and resets the column to c1 in preparation for spooling the next line of pixel signals (having a length of j−1) to the image processing unit 424, in the same manner as the first line (having a length of j−1) was spooled. The landscape spooling routine continues to increment the row number and spool the next line of pixel signals (having a length of j−1) to the image processing unit 424 until row ri−1 has been spooled. Thus, the entire set of pixel signals representing a landscape image has been transferred to the image processing unit 424. As a result of this specific spooling sequence, the landscape image will be displayed on the image display 100 so that the “TOP” of the landscape image corresponds to the top 102 of the image display 100.
Also as introduced above, the image processing unit 424 preferably comprises program instructions stored in the non-volatile memory 406 that are executed using the processing unit 404. The image processing unit 424 receives the rotated image data from the auto-rotate unit 422, performs conventional image processing operations (such as white balancing, reconstruction, color correction, gamma correction, sharpening and compression) on the rotated image data; generates processed image data; and either saves the processed image data to the storage memory 420 or outputs it to a host computer (not shown) via the I/O interface 414. As was discussed above, the image processing unit 424 is preferably implemented such that it must receive all the image data spooled from the frame buffer 416 starting with a “GRGRGR” line followed by a “BGBGBG” line in an alternating line-by-line pattern. This is the image processing unit's 424 design limitation which drives the auto-rotate unit's 422 particular pixel selection routines described above. Alternatively, a different image processing unit 424 could be implemented which requires that the image data be spooled from the frame buffer 416 starting with a “GBGBGB” line followed by a “RGRGRG” line or any combination of the Bayer pattern.
Those skilled in the art will also recognize that alternate embodiments of the present invention that do not use the Bayer pattern may still use the teachings of present invention to rotate their image data. In such alternative embodiments the auto-rotate unit 422 performs a straightforward rotation of the image data since such alternative image processing units 424 may accept pixel signals in any orientation. Thus for the straightforward rotation where the shaded gray area of FIG. 5C represents the image data, the portrait_left spooling routine would start with pixel signal ri−1, c1), spool column c1, increment the column to c2, spool column c2 and so on; the portrait_right spooling routine would start with pixel signal (r1, cj−1), spool column cj−1, decrement the column to cj−2, spool column cj−2 and so on; and the landscape spooling routine would start with pixel signal (r1, c1), spool row r1, increment the row to r2, spool row r2 and so on. In all three cases above, the extra or provided row ri and extra or provided column cj would not be transferred.
Referring now to FIGS. 6A, 6B, 6C and 6D, a flowchart of a preferred method for rotating the display orientation of a captured image is shown. The method begins in FIG. 6A with step 600 where the image capture unit 428 captures a set of image data and a set of image sensor 304 orientation data approximately simultaneously. The RLOS 421 and UDOS 423 orientation signals are recorded when the image data capture occurs in order to insure that the orientation sensor information accurately reflects the actual position of the image sensor 304. In step 602, the image capture unit 428 transfers the captured image data and the image sensor 304 orientation data into the volatile memory 410. In Step 603, the image capture unit 428 generates an additional row and column of image data if the captured image data does not already include an extra row and column of image data. In Step 604, the auto-rotate unit 422 determines the orientation of the captured image data. If in step 606 the captured image data is in a portrait_left orientation, the method proceeds to step 612, otherwise the method continues to step 608. If in step 608 the captured image data is in a portrait_right orientation, the method proceeds to step 628, otherwise the method proceeds to step 644.
In step 612 of FIG. 6B, the auto-rotate unit 422 configures the image processing unit 424 to accept an image data line length corresponding to a portrait_left image. In step 614, the auto-rotation unit 422 initializes a variable named “column” stored in the working memory 418 to a first pixel column (i.e. to column c2), within the image data field 419, required by the image processing unit 424. In step 616, the auto-rotation unit 422 initializes a variable named “row” stored in the working memory 418 to a row (i.e. to row ri−1) within the image data field 419 containing a first pixel color required by the image processing unit 424. Next, in step 618, the auto-rotate unit 422 transfers the captured image data in the image data field 419 location (rrow, ccolumn) to the image processing unit 424. In step 620, the auto-rotate unit 422 decrements “row” to a row containing a next pixel color required by the image processing unit 424. In step 622, if “last row” has been transferred, the method proceeds to step 623, otherwise the method returns to step 618. In the preferred embodiment “last row” is “r1” as shown in FIG. 5A. When “last row” has been transferred in step 622, an entire line of portrait_left image data has been transferred to the image processing unit 424. In step 623 the image processing unit 424 performs any required image processing on the transferred image data. Step 624 then increments “column” to a next pixel column required by the image processing unit 424. Finally, if in step 626 “last column” has not yet been transferred the method returns to step 616, otherwise the method ends. In the preferred embodiment “last column” is “cj,” as shown in FIG. 5A.
In step 628 of FIG. 6C, the auto-rotate unit 422 configures the image processing unit 424 to accept an image data line length corresponding to a portrait_right image. In step 630, the auto-rotation unit 422 initializes a variable named “column” stored in the working memory 418 to a first pixel column (i.e. to column cj−1), within the image data field 419, required by the image processing unit 424. In step 632, the auto-rotation unit 422 initializes a variable named “row” stored in the working memory 418 to a row (i.e. to row r2) within the image data field 419 containing a first pixel color required by the image processing unit 424. Next, in step 634, the auto-rotate unit 422 transfers the captured image data in the image data field 419 location (rrow, ccolumn) to the image processing unit 424. In step 636, the auto-rotate unit 422 increments “row” to a row containing a next pixel color required by the image processing unit 424. In step 638, if “last row” has been transferred, the method proceeds to step 639, otherwise the method returns to step 634. In the preferred embodiment “last row” is “ri,” as shown in FIG. 5B. When “last row” has been transferred in step 638, an entire line of portrait_right image data has been transferred to the image processing unit 424. In step 639 the image processing unit 424 performs any required image processing on the transferred image data. Step 640 then decrements “column” to a next pixel column required by the image processing unit 424. Finally, if in step 642 “last column” has not yet been transferred the method returns to step 632, otherwise the method ends. In the preferred embodiment “last column” is “c1,” as shown in FIG. 5B.
In step 644 of FIG. 6D, the auto-rotate unit 422 configures the image processing unit 424 to accept an image data line length corresponding to a landscape image. In step 646, the auto-rotation unit 422 initializes a variable named “row” stored in the working memory 418 to a first pixel row (i.e. to row r1), within the image data field 419, required by the image processing unit 424. In step 648, the auto-rotation unit 422 initializes a variable named “column” stored in the working memory 418 to a column (i.e. to column c1) within the image data field 419 containing a first pixel color required by the image processing unit 424. Next, in step 650, the auto-rotate unit 422 transfers the captured image data in the image data field 419 location (rrow, ccolumn) to the image processing unit 424. In step 652, the auto-rotate unit 422 increments “column” to a column containing a next pixel color required by the image processing unit 424. In step 654, if “last column” has been transferred, the method proceeds to step 655, otherwise the method returns to step 650. In the preferred embodiment “last column” is “cj−1,” as shown in FIG. 5C. When “last column” has been transferred in step 654, an entire line of landscape image data has been transferred to the image processing unit 424. In step 655 the image processing unit 424 performs any required image processing on the transferred image data. Step 656 then increments “row” to a next pixel row required by the image processing unit 424. Finally, if in step 658 “last row” has not yet been transferred the method returns to step 648, otherwise the method ends. In the preferred embodiment “last row” is “ri−1,” as shown in FIG. 5C.
While the present invention has been described with reference to certain preferred embodiments, those skilled in the art will recognize that various modifications may be provided. For instance, while the preferred embodiment of the present invention selects and processes the captured image data as a rectangular array, alternate embodiments could select and process the image data as an array of tiles rather than lines. Furthermore, by transferring the pixels signals to the image processing unit 424 in a different order, a mirror image or an upside-down image of the captured image data can be presented on the image display 100. Lastly, while the preferred embodiment is implemented in software, those skilled in the art would readily recognize that a hardware equivalent implementation would also be acceptable. These and other variations upon and modifications to the preferred embodiment are provided for by the present invention which is limited only by the following claims.

Claims (37)

1. An apparatus for rotating a display orientation of captured image data representative of an object, the apparatus comprising:
an image sensor, for generating said captured image data;
an orientation sensor coupled to said image sensor, for generating a signal corresponding to the position of the image sensor relative to said object;
a memory, having an auto-rotate unit comprising program instructions for selectively transforming said captured image data into rotated image data in response to said position signal, said memory coupled to said image sensor and to said orientation sensor; and
an image processing unit coupled to said memory for executing program instructions stored in said memory;
wherein (a) said image processing unit processes an i-by-j array of said captured image data and said image sensor generates an i+1-by-j+1 array of said image data, or (b) an image capture unit generates an additional row and column of pixels for said captured image data from said image sensor.
2. The apparatus of claim 1, wherein the memory further comprises:
an image processing unit comprising program instructions for transforming one from a group consisting of captured image data and portrait image data, into processed image data.
3. The apparatus of claim 1, wherein: the signal is a portrait_left signal if the image sensor is rotated clockwise from a landscape orientation relative to the object, and the signal is a portrait_right signal if the image sensor is rotated counter-clockwise from the landscape orientation relative to the object; and
the auto-rotate unit comprises program instructions for transforming the captured image data into portrait_left image data in response to the portrait_left signal and into portrait_right image data in response to the portrait_right signal.
4. The apparatus of claim 1, wherein:
the signal is a landscape signal if the image sensor is positioned in a level orientation relative to the object; and
the auto-rotate unit comprises program instructions for transforming the captured image data into landscape image data in response to the landscape signal.
5. The apparatus of claim 3, wherein:
the image sensor has a top, a bottom, a right side and a left side;
the auto-rotate unit program instructions transform the captured image data into the portrait_left image data by transferring a prior portrait_left line of image data which starts further toward the bottom of the image sensor and ends further toward the top of the image sensor, then transferring a subsequent portrait_left line of image data, located closer to the right side of the image sensor than the prior portrait_left line of image data, and also starting further toward the bottom of the image sensor and ending further toward the top of the image sensor; and
the auto-rotate unit program instructions transform the captured image data into the portrait_right image data by transferring a prior portrait_right line of image data which starts further toward the top of the image sensor and ends further toward the bottom of the image sensor, then transferring a subsequent portrait_right line of image data, located closer to the left side of the image sensor than the prior portrait_right line of image data, and also starting further toward the top of the image sensor and ending further toward the bottom of the image sensor.
6. The apparatus of claim 4, wherein:
the image sensor has a top, a bottom, a right side and a left side; and
the auto-rotate unit program instructions transform the captured image data into the landscape image data by transferring a prior landscape line of image data which starts further toward the left side of the image sensor and ends further toward the right side of the image sensor, then transferring a subsequent landscape line of image data, located closer to the bottom of the image sensor than the prior landscape line of image data, and also starting further toward the left side of the image sensor and ending further toward the right side of the image sensor.
7. The apparatus of claim 3, wherein:
the portrait_left signal is generated by the orientation sensor if the image sensor is rotated approximately 45° clockwise from the level orientation, and the portrait_right signal is generated by the orientation sensor if the imaging subsystem is rotated approximately 45° counter-clockwise from the level orientation.
8. The apparatus of claim 5, wherein:
the prior portrait_left line of image data and the prior portrait_right line of image data comprise a “green, red, green, red” pixel pattern; and
the subsequent portrait_left line of image data and the subsequent portrait_right line of image data comprise a “blue, green, blue, green” pixel pattern.
9. An apparatus for rotating a display orientation of multicolor captured image data having an i-by-j pixel matrix with a pattern representative of an object, comprising:
an image sensor, for generating the multicolor captured image data;
an input device, for generating a portrait_left signal in response to a first user selection, a portrait_right signal in response to a second user selection, and a landscape signal in response to a third user selection;
a memory, having:
an auto-rotate unit comprising program instructions for selectively transforming the multicolor captured image data into portrait_left image data in response to the portrait-left signal, portrait_right image data in response to the portrait_right signal, and landscape image data in response to the landscape signal; and
an image processing unit comprising program instructions for transforming the portrait_left image data, the portrait_right image data and the landscape image data into processed image data; and
a processing unit, coupled to the image sensor, to the input device, and to the memory, for executing program instructions stored in the memory;
wherein said image processing unit changes the number of pixel rows and pixel columns of the multicolor captured image data such that, from a defined referenced viewpoint, the portrait left image data, the portrait right image data, and the landscape image data, each includes the an (i−1)-by-(j−1) pixel matrix having said pattern.
10. The apparatus of claim 9, wherein the image processing unit has a first line length for processing the portrait_left image data and the portrait_right image data and a second line length for processing the landscape image data.
11. A method for rotating a display orientation of image data representative of an object, comprising the steps of:
generating image data with an image sensor;
identifying an orientation of the image sensor relative to the object at a time substantially simultaneous with the generating step, where said identifying is performed by an orientation sensor; and
selectively transferring data to an image processing unit in response to the identifying step;
wherein said image processing unit rotates said display orientation of said image data and (a) said image processing unit processes an i-by-j array of said captured image data and said image sensor generates an i+1-by-j+1 array of said image data, or (b) an image capture unit generates an additional row and column of pixels for said captured image data from said image sensor.
12. The method of claim 11, further comprising the step of:
generating an additional row and column of image data.
13. The method of claim 11, further comprising the step of correcting defects within the image data caused by defects within the image sensor.
14. The method of claim 11, wherein the image sensor comprises a top, a right side and a left side, wherein the image comprises a “top portion,” and wherein the step of identifying an orientation further comprises the steps of:
identifying a portrait_left orientation, if the left side of the image sensor corresponds to the “top portion” of the object;
identifying a portrait_right orientation, if the right side of the image sensor corresponds to the “top portion” of the object; and
identifying a landscape orientation, if the top of the image sensor corresponds to the “top portion” of the object.
15. The method of claim 11, wherein the step of identifying an orientation further comprises the steps of:
identifying a portrait_left orientation, in response to a user selection of the portrait_left orientation on an input device;
identifying a portrait_right orientation, in response to a user selection of the portrait_right orientation on the input device; and
identifying a landscape orientation, in response to a user selection of the landscape orientation on the input device.
16. The method of claim 11, wherein the orientation is a portrait_left orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the step of selectively transferring comprises the steps of:
initializing a column variable to a first column of pixel colors required by the image processing unit;
initializing a row variable to a row containing a first pixel color required by the image processing unit;
transferring pixel color at an array location defined by the row variable and the column variable to and the image processing unit;
decrementing the row variable to a row containing a next pixel color required by the image processing unit;
returning to the transferring step, if a row containing a last pixel color has not been transferred;
incrementing the column variable to a next column of pixel colors required by the image processing unit; and
returning to the initializing a row variable step, if a last column of pixel colors has not been transferred.
17. The method of claim 16, wherein the image data is replaced by defective image sensor information, further comprising the step of repeating the steps of claim 16.
18. The method of claim 16, further comprises the steps of:
configuring the image processing unit to accept an image data line length corresponding to the portrait_left orientation; and
performing image processing on a line of transferred image data.
19. The method of claim 11, wherein the orientation is a portrait_right orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the step of selectively transferring comprises the steps of:
initializing a column variable to a first column of pixel colors required by the image processing unit;
initializing a row variable to a row containing a first pixel color required by the image processing unit;
transferring pixel color at an array location defined by the row variable and the column variable, to the image processing unit;
incrementing the row variable to a row containing a next pixel color required by the image processing unit;
returning to the transferring step, if a row containing a last pixel color has not been transferred;
decrementing the column variable to a next column of pixel colors required by the image processing unit; and
returning to the initializing a row variable step, if a last column of pixel colors has not been transferred.
20. The method of claim 11, wherein the orientation is a landscape orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the step of selectively transferring further comprises the steps of:
initializing a row variable to a first row of pixel colors required by the image processing unit;
initializing a column variable to a column containing a first pixel color required by the image processing unit;
transferring pixel color at an array location defined by the row variable and the column variable, to the image processing unit;
incrementing the column variable to a column containing a next pixel color required by the image processing unit;
returning to the transferring step, if a column containing a last color pixel has not been transferred;
incrementing the row variable to a next row of pixel colors required by the image processing unit; and
returning to the initializing a column variable step, if a last row of pixel colors has not been transferred.
21. An apparatus for rotating a display orientation of multicolor image data having an i-by-j pixel matrix with a pattern representative of an object, comprising:
means for generating multicolor image data with an image sensor;
orientation sensor means for identifying an orientation of said image sensor relative to said object at a time substantially simultaneous with said generating said multicolor image data; and
means for selectively transferring said multicolor image data to an image processing unit in response to said means for identifying;
wherein said image processing unit rotates said display orientation of said multicolor image data for providing rotated multicolor image data, and changes the number of pixel rows and pixel columns of said multicolor image data such that, from a defined referenced viewpoint, said rotated multicolor image data includes having an (i−1)-by-(j−1) pixel matrix said pattern.
22. The apparatus of claim 21, further comprising means for generating an additional row and column of image data.
23. The apparatus of claim 21, further comprising means for correcting defects within the image data caused by defects within the image sensor.
24. The apparatus of claim 21, wherein the image sensor comprises a top, a right side and a left side, wherein the image comprises a “top portion,” and wherein the means for identifying an orientation further comprises:
means for identifying a portrait_left orientation, if the left side of the image sensor corresponds to the “top portion” of the object;
means for identifying a portrait_right orientation, if the right side of the image sensor corresponds to the “top portion” of the object; and
means for identifying a landscape orientation, if the top of the image sensor corresponds to the “top portion” of the object.
25. The apparatus of claim 21, wherein the orientation is a portrait_left orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the means for selectively transferring comprises:
means for initializing a column variable to a first column of pixel colors required by the image processing unit;
means for initializing a row variable to a row containing a first pixel color required by the image processing unit;
means for transferring pixel color at an array location, defined by the row variable and the column variable, to the image processing unit;
means for decrementing the row variable to a row containing a next pixel color required by the image processing unit;
means for returning to the means for transferring, if a row containing a last pixel color has not been transferred;
means for incrementing the column variable to a next column of pixel colors required by the image processing unit; and
means for returning to the means for initializing a row variable, if a last column of pixel colors has not been transferred.
26. The apparatus of claim 21, wherein the orientation is a portrait_right orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the means for selectively transferring comprises:
means for initializing a column variable to a first column of pixel colors required by the image processing unit;
means for initializing a row variable to a row containing a first pixel color required by the image processing unit;
means for transferring pixel color at an array location, defined by the row variable and the column variable, to the image processing unit;
means for incrementing the row variable to a row containing a next pixel color required by the image processing unit;
means for returning to the means for transferring, if a row containing a last pixel color has not been transferred;
means for decrementing the column variable to a next column of pixel colors required by the image processing unit; and
means for returning to the means for initializing a row variable, if a last column of pixel colors has not been transferred.
27. The apparatus of claim 21, wherein the orientation is a landscape orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the means for selectively transferring comprises:
means for initializing a row variable to a first row of pixel colors required by the image processing unit;
means for initializing a column variable to a column containing a first pixel color required by the image processing unit;
means for transferring pixel color at an array location, defined by the row variable and the column variable, to the image processing unit;
means for incrementing the column variable to a column containing a next pixel color required by the image processing unit;
means for returning to the means for transferring, if a column containing a last color pixel has not been transferred;
means for incrementing the row variable to a next row of pixel colors required by the image processing unit; and
means for returning to the means for initializing a column variable, if a last row of pixel colors has not been transferred.
28. A computer useable medium embodying computer readable program code for causing a computer to rotate a display orientation of multicolor image data having an i-by-j pixel matrix with a pattern representative of an object, by performing steps comprising:
generating said multicolor image data with an image sensor;
identifying an orientation of the image sensor relative to the object at a time substantially simultaneous with the generating step, wherein said identifying of said orientation is performed with an orientation sensor; and
selectively transferring image data to an image processing unit in response to the identifying step,
wherein said image processing unit rotates said display orientation of said multicolor image data for providing rotated multicolor image data, and changes the number of pixel rows and pixel columns of said multicolor image data such that, from a defined referenced viewpoint, said rotated multicolor image data includes having an (i−1)-by-(j−1) pixel matrix said pattern.
29. The computer useable medium of claim 28, further comprising program code for generating an additional row and column of image data.
30. The computer useable medium of claim 28, further comprising program code for correcting defects within the image data caused by defects within the image sensor.
31. The computer useable medium of claim 28, wherein the image sensor comprises a top, a right side and a left side, wherein the image comprises a “top portion,” and wherein the program code for performing the step of identifying an orientation further comprises program code for:
identifying a portrait_left orientation, if the left side of the image sensor corresponds to the “top portion” of the object;
identifying a portrait_right orientation, if the right side of the image sensor corresponds to the “top portion” of the object; and
identifying a landscape orientation, if the top of the image sensor corresponds to the “top portion” of the object.
32. The computer useable medium of claim 28, wherein the orientation is a portrait_left orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the program code for performing the step of selectively transferring comprises program code for:
initializing a column variable to a first column of pixel colors required by the image processing unit;
initializing a row variable to a row containing a first pixel color required by the image processing unit;
transferring pixel color at an array location, defined by the row variable and the column variable, to the image processing unit;
decrementing the row variable to a row containing a next pixel color required by the image processing unit;
returning to the transferring step, if a row containing a last pixel color has not been transferred;
incrementing the column variable to a next column of pixel colors required by the image processing unit; and
returning to the initializing a row variable step, if a last column of pixel colors has not been transferred.
33. The computer useable medium of claim 28, wherein the orientation is a portrait_right orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the program code for performing the step of selectively transferring comprises program code for:
initializing a column variable to a first column of pixel colors required by the image processing unit;
initializing a row variable to a row containing a first pixel color required by the image processing unit;
transferring pixel color at an array location, defined by the row variable and the column variable, to the image processing unit;
incrementing the row variable to a row containing a next pixel color required by the image processing unit;
returning to the transferring step, if a row containing a last pixel color has not been transferred;
decrementing the column variable to a next column of pixel colors required by the image processing unit; and
returning to the initializing a row variable step, if a last column of pixel colors has not been transferred.
34. The computer useable medium of claim 28, wherein the orientation is a landscape orientation, wherein the image data is comprised of an array of pixel colors ordered in rows and columns, and wherein the program code for performing the step of selectively transferring comprises program code for:
initializing a row variable to a first row of pixel colors required by the image processing unit;
initializing a column variable to a column containing a first pixel color required by the image processing unit;
transferring pixel color at an array location, defined by the row variable and the column variable, to the image processing unit;
incrementing the column variable to a column containing a next pixel color required by the image processing unit;
returning to the transferring step, if a column containing a last color pixel has not been transferred;
incrementing the row variable to a next row of pixel colors required by the image processing unit; and
returning to the initializing a column variable step, if a last row of pixel colors has not been transferred.
35. An apparatus for rotating a display orientation of multicolor captured image data having an i-by-j pixel matrix with a pattern representative of an object, comprising:
an image sensor, for generating said multicolor captured image data;
an orientation sensor coupled to said image sensor, for generating a signal corresponding to the position of said image sensor relative to said object; and
a hardware device, having an auto-rotate unit comprising circuits for selectively transforming said multicolor captured image data into rotated multicolor image data in response to said position signal, said hardware device coupled to said image sensor and to said orientation sensor;
wherein, from a defined referenced viewpoint, said rotated multicolor image data includes an (i−1)-by-(j−1) pixel matrix having said pattern.
36. A method for rotating image data in a digital image capture device, comprising:
capturing image data with an image capture device;
detecting one or more orientations of the image capture device by a plurality of orientation sensors, wherein a first orientation by a first orientation sensor of the plurality of the orientation sensors indicates whether the image capture device is in a landscape or a portrait orientation, and a second orientation by a second orientation sensor of the plurality of the orientation sensors indicates whether the image capture device is in a level or an off-level orientation;
selecting an orientation from the plurality of orientations of the image capture device;
rotating the captured image data according to the selected orientation of the image capture device; and
outputting the rotated image data to a display device in accordance with the selected orientation.
37. A digital camera, comprising:
an image sensor for capturing an image;
a plurality of orientation sensors, coupled to the image sensor, adapted to detect one or more orientations of the captured image, wherein a first orientation by a first orientation sensor of the plurality of the orientation sensors indicates whether the digital camera is in a landscape or a portrait orientation, and a second orientation by a second orientation sensor of the plurality of the orientation sensors indicates whether the digital camera is in a level or an off-level orientation;
an auto-rotate unit, coupled to the plurality of orientation sensors, for selecting an orientation from the plurality of the orientations, and rotating the captured image according to the selected orientation;
a memory, coupled to the auto-rotate unit and the plurality of orientation sensors, for storing the rotated image and the selected orientation; and
an image processing unit, coupled to the memory, for outputting the stored rotated image in accordance with the selected orientation.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8451344B1 (en) * 2011-03-24 2013-05-28 Amazon Technologies, Inc. Electronic devices with side viewing capability
US20130271496A1 (en) * 2012-04-17 2013-10-17 Tzu-Wei SU Projector, projecting system comprising the same and automatic image adjusting method thereof
US20140307001A1 (en) * 2013-04-10 2014-10-16 Canon Kabushiki Kaisha Information processing device and control method thereof
US10088866B2 (en) 2015-03-18 2018-10-02 Motorola Mobility Llc Controlling the orientation of a device display based on usage context
US10686992B2 (en) 2018-07-31 2020-06-16 Qualcomm Incorporated Image orientation notification and adjustment

Families Citing this family (252)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0807352A1 (en) 1995-01-31 1997-11-19 Transcenic, Inc Spatial referenced photography
JPH10240436A (en) * 1996-12-26 1998-09-11 Nikon Corp Information processor and recording medium
US6786420B1 (en) 1997-07-15 2004-09-07 Silverbrook Research Pty. Ltd. Data distribution mechanism in the form of ink dots on cards
US5973734A (en) 1997-07-09 1999-10-26 Flashpoint Technology, Inc. Method and apparatus for correcting aspect ratio in a camera graphical user interface
US6618117B2 (en) 1997-07-12 2003-09-09 Silverbrook Research Pty Ltd Image sensing apparatus including a microcontroller
US7110024B1 (en) 1997-07-15 2006-09-19 Silverbrook Research Pty Ltd Digital camera system having motion deblurring means
US6624848B1 (en) 1997-07-15 2003-09-23 Silverbrook Research Pty Ltd Cascading image modification using multiple digital cameras incorporating image processing
US6727948B1 (en) * 1997-07-15 2004-04-27 Silverbrook Research Pty Ltd Utilizing autofocus information for image processing in a digital camera
AUPO850597A0 (en) * 1997-08-11 1997-09-04 Silverbrook Research Pty Ltd Image processing method and apparatus (art01a)
AUPO802797A0 (en) * 1997-07-15 1997-08-07 Silverbrook Research Pty Ltd Image processing method and apparatus (ART54)
US6985207B2 (en) * 1997-07-15 2006-01-10 Silverbrook Research Pty Ltd Photographic prints having magnetically recordable media
US7551201B2 (en) 1997-07-15 2009-06-23 Silverbrook Research Pty Ltd Image capture and processing device for a print on demand digital camera system
US6879341B1 (en) 1997-07-15 2005-04-12 Silverbrook Research Pty Ltd Digital camera system containing a VLIW vector processor
US6690419B1 (en) * 1997-07-15 2004-02-10 Silverbrook Research Pty Ltd Utilising eye detection methods for image processing in a digital image camera
US6262769B1 (en) * 1997-07-31 2001-07-17 Flashpoint Technology, Inc. Method and system for auto rotating a graphical user interface for managing portrait and landscape images in an image capture unit
US7630006B2 (en) * 1997-10-09 2009-12-08 Fotonation Ireland Limited Detecting red eye filter and apparatus using meta-data
GB9722766D0 (en) 1997-10-28 1997-12-24 British Telecomm Portable computers
US6342917B1 (en) * 1998-01-16 2002-01-29 Xerox Corporation Image recording apparatus and method using light fields to track position and orientation
AUPP702098A0 (en) 1998-11-09 1998-12-03 Silverbrook Research Pty Ltd Image creation method and apparatus (ART73)
JP2002525563A (en) * 1998-09-14 2002-08-13 ベトリープスフォルシュンクスインスティトゥート・ファウデーエーハー・インスティトゥート・フュア・アンゲバンテ・フォルシュンク・ゲーエムベーハー Measuring device for surface dimensions and flatness of flat products
JP3307350B2 (en) * 1998-12-16 2002-07-24 ソニー株式会社 Image processing device
US6773953B1 (en) * 1998-12-23 2004-08-10 Intel Corporation Camera sensor identifier via etched flaw
US6317141B1 (en) 1998-12-31 2001-11-13 Flashpoint Technology, Inc. Method and apparatus for editing heterogeneous media objects in a digital imaging device
JP3532781B2 (en) * 1999-02-12 2004-05-31 株式会社メガチップス Image processing circuit of image input device
JP4425365B2 (en) * 1999-02-15 2010-03-03 株式会社メガチップス Signal processing circuit in image input device
JP3824440B2 (en) * 1999-03-09 2006-09-20 三菱電機株式会社 Imaging device
JP2000315132A (en) * 1999-04-30 2000-11-14 Sony Corp Device and method for information processing and medium
AUPQ056099A0 (en) * 1999-05-25 1999-06-17 Silverbrook Research Pty Ltd A method and apparatus (pprint01)
EP1071285A1 (en) * 1999-07-19 2001-01-24 Texas Instruments Inc. Vertical compensation in a moving camera
US7733520B2 (en) * 1999-10-04 2010-06-08 Fujifilm Corporation Digital camera and method of controlling the same and apparatus for and method of outputting image
US8645137B2 (en) 2000-03-16 2014-02-04 Apple Inc. Fast, language-independent method for user authentication by voice
US6591005B1 (en) 2000-03-27 2003-07-08 Eastman Kodak Company Method of estimating image format and orientation based upon vanishing point location
US6968094B1 (en) 2000-03-27 2005-11-22 Eastman Kodak Company Method of estimating and correcting camera rotation with vanishing point location
US7893963B2 (en) * 2000-03-27 2011-02-22 Eastman Kodak Company Digital camera which estimates and corrects small camera rotations
US6778699B1 (en) 2000-03-27 2004-08-17 Eastman Kodak Company Method of determining vanishing point location from an image
JP2001285704A (en) * 2000-03-31 2001-10-12 Canon Inc Image pickup device, image pickup method and storage medium
JP2003061105A (en) * 2001-06-07 2003-02-28 Seiko Epson Corp Image processing method, image processing program, image processing apparatus, and digital still camera using the image processing apparatus
US6934812B1 (en) * 2001-10-22 2005-08-23 Apple Computer, Inc. Media player with instant play capability
US8151259B2 (en) 2006-01-03 2012-04-03 Apple Inc. Remote content updates for portable media devices
US7433546B2 (en) * 2004-10-25 2008-10-07 Apple Inc. Image scaling arrangement
US7724716B2 (en) 2006-06-20 2010-05-25 Apple Inc. Wireless communication system
US7831199B2 (en) 2006-01-03 2010-11-09 Apple Inc. Media data exchange, transfer or delivery for portable electronic devices
US20050083417A1 (en) * 2003-10-21 2005-04-21 Battles Amy E. System and method for providing image orientation information of a video clip
JP2005128437A (en) * 2003-10-27 2005-05-19 Fuji Photo Film Co Ltd Photographing device
US20050093891A1 (en) * 2003-11-04 2005-05-05 Pixel Instruments Corporation Image orientation apparatus and method
JP3785412B2 (en) * 2004-04-22 2006-06-14 松下電器産業株式会社 Communication device with camera
US20050264652A1 (en) * 2004-05-28 2005-12-01 Hui-Hu Liang Computer camera field of vision automatic switching device
KR100579044B1 (en) * 2004-06-29 2006-05-12 삼성전자주식회사 Apparatus, System and Method for Compression of Rotated Image
US20060033819A1 (en) * 2004-08-12 2006-02-16 Sony Corporation Method and apparatus for automatic orientation correction of digital photographs
KR100651938B1 (en) * 2004-08-16 2006-12-06 엘지전자 주식회사 apparatus, method and medium for controlling image orientation
US7706637B2 (en) * 2004-10-25 2010-04-27 Apple Inc. Host configured for interoperation with coupled portable media player device
US7536565B2 (en) 2005-01-07 2009-05-19 Apple Inc. Techniques for improved playlist processing on media devices
TWI276042B (en) * 2005-02-01 2007-03-11 Cyberlink Corp Automatic image rotating apparatus and implementation method thereof
US8300841B2 (en) 2005-06-03 2012-10-30 Apple Inc. Techniques for presenting sound effects on a portable media player
US20070004451A1 (en) * 2005-06-30 2007-01-04 C Anderson Eric Controlling functions of a handheld multifunction device
US7512287B2 (en) * 2005-07-25 2009-03-31 Seiko Epson Corporation Method and apparatus for efficient image rotation
US7590772B2 (en) 2005-08-22 2009-09-15 Apple Inc. Audio status information for a portable electronic device
US8677377B2 (en) 2005-09-08 2014-03-18 Apple Inc. Method and apparatus for building an intelligent automated assistant
US7930369B2 (en) 2005-10-19 2011-04-19 Apple Inc. Remotely configured media device
US7599577B2 (en) 2005-11-18 2009-10-06 Fotonation Vision Limited Method and apparatus of correcting hybrid flash artifacts in digital images
US20070126876A1 (en) * 2005-11-30 2007-06-07 Eastman Kodak Company Locating digital image planar surfaces
US8654993B2 (en) 2005-12-07 2014-02-18 Apple Inc. Portable audio device providing automated control of audio volume parameters for hearing protection
US8255640B2 (en) 2006-01-03 2012-08-28 Apple Inc. Media device with intelligent cache utilization
US7673238B2 (en) * 2006-01-05 2010-03-02 Apple Inc. Portable media device with video acceleration capabilities
KR100663467B1 (en) * 2006-02-17 2007-01-02 삼성전자주식회사 Method for displaying image in wireless terminal
US7848527B2 (en) * 2006-02-27 2010-12-07 Apple Inc. Dynamic power management in a portable media delivery system
US7643895B2 (en) 2006-05-22 2010-01-05 Apple Inc. Portable media device with workout support
US8073984B2 (en) * 2006-05-22 2011-12-06 Apple Inc. Communication protocol for use with portable electronic devices
US9137309B2 (en) * 2006-05-22 2015-09-15 Apple Inc. Calibration techniques for activity sensing devices
US20070270663A1 (en) * 2006-05-22 2007-11-22 Apple Computer, Inc. System including portable media player and physiologic data gathering device
US20070271116A1 (en) * 2006-05-22 2007-11-22 Apple Computer, Inc. Integrated media jukebox and physiologic data handling application
US8358273B2 (en) 2006-05-23 2013-01-22 Apple Inc. Portable media device with power-managed display
US20080052026A1 (en) * 2006-08-23 2008-02-28 Qurio Holdings, Inc. Configuring a content capture device for one or more service providers
US7913297B2 (en) * 2006-08-30 2011-03-22 Apple Inc. Pairing of wireless devices using a wired medium
US9224145B1 (en) 2006-08-30 2015-12-29 Qurio Holdings, Inc. Venue based digital rights using capture device with digital watermarking capability
US7813715B2 (en) * 2006-08-30 2010-10-12 Apple Inc. Automated pairing of wireless accessories with host devices
US9318108B2 (en) 2010-01-18 2016-04-19 Apple Inc. Intelligent automated assistant
US7729791B2 (en) 2006-09-11 2010-06-01 Apple Inc. Portable media playback device including user interface event passthrough to non-media-playback processing
US8736557B2 (en) * 2006-09-11 2014-05-27 Apple Inc. Electronic device with image based browsers
US8090130B2 (en) * 2006-09-11 2012-01-03 Apple Inc. Highly portable media devices
US8341524B2 (en) * 2006-09-11 2012-12-25 Apple Inc. Portable electronic device with local search capabilities
US8564543B2 (en) 2006-09-11 2013-10-22 Apple Inc. Media player with imaged based browsing
US9001047B2 (en) 2007-01-07 2015-04-07 Apple Inc. Modal change based on orientation of a portable multifunction device
US7589629B2 (en) * 2007-02-28 2009-09-15 Apple Inc. Event recorder for portable media device
US7698101B2 (en) * 2007-03-07 2010-04-13 Apple Inc. Smart garment
US8977255B2 (en) 2007-04-03 2015-03-10 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
US9933937B2 (en) 2007-06-20 2018-04-03 Apple Inc. Portable multifunction device, method, and graphical user interface for playing online videos
US8015879B2 (en) * 2007-08-30 2011-09-13 General Electric Company Orientation aware sensor
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US8327272B2 (en) 2008-01-06 2012-12-04 Apple Inc. Portable multifunction device, method, and graphical user interface for viewing and managing electronic calendars
US8996376B2 (en) 2008-04-05 2015-03-31 Apple Inc. Intelligent text-to-speech conversion
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US20090310189A1 (en) 2008-06-11 2009-12-17 Gallagher Andrew C Determining the orientation of scanned hardcopy medium
US8036417B2 (en) * 2008-06-11 2011-10-11 Eastman Kodak Company Finding orientation and date of hardcopy medium
US20090310863A1 (en) * 2008-06-11 2009-12-17 Gallagher Andrew C Finding image capture date of hardcopy medium
US8454436B2 (en) * 2008-06-26 2013-06-04 Wms Gaming Inc. Gaming machine with movable display screen
US20100030549A1 (en) 2008-07-31 2010-02-04 Lee Michael M Mobile device having human language translation capability with positional feedback
US9087337B2 (en) * 2008-10-03 2015-07-21 Google Inc. Displaying vertical content on small display devices
US9959870B2 (en) 2008-12-11 2018-05-01 Apple Inc. Speech recognition involving a mobile device
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10255566B2 (en) 2011-06-03 2019-04-09 Apple Inc. Generating and processing task items that represent tasks to perform
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US9431006B2 (en) 2009-07-02 2016-08-30 Apple Inc. Methods and apparatuses for automatic speech recognition
US8593483B2 (en) * 2009-10-20 2013-11-26 Apple Inc. Temporal filtering techniques for image signal processing
US8294781B2 (en) * 2009-10-20 2012-10-23 Apple Inc. System and method for sharpening image data
US8259198B2 (en) * 2009-10-20 2012-09-04 Apple Inc. System and method for detecting and correcting defective pixels in an image sensor
US8472712B2 (en) * 2009-10-20 2013-06-25 Apple Inc. System and method for applying lens shading correction during image processing
US8638342B2 (en) * 2009-10-20 2014-01-28 Apple Inc. System and method for demosaicing image data using weighted gradients
KR20110061063A (en) * 2009-12-01 2011-06-09 삼성전자주식회사 Apparatus and method for photographing of a portable terminal
US8438504B2 (en) * 2010-01-06 2013-05-07 Apple Inc. Device, method, and graphical user interface for navigating through multiple viewing areas
US8736561B2 (en) * 2010-01-06 2014-05-27 Apple Inc. Device, method, and graphical user interface with content display modes and display rotation heuristics
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US8977584B2 (en) 2010-01-25 2015-03-10 Newvaluexchange Global Ai Llp Apparatuses, methods and systems for a digital conversation management platform
US8682667B2 (en) 2010-02-25 2014-03-25 Apple Inc. User profiling for selecting user specific voice input processing information
JP2011188225A (en) * 2010-03-09 2011-09-22 Sanyo Electric Co Ltd Electronic camera
US20110234636A1 (en) * 2010-03-24 2011-09-29 Dsp Group Ltd. Method and integrated circuit for image manipulation
US8525895B2 (en) 2010-07-29 2013-09-03 Apple Inc. Binning compensation filtering techniques for image signal processing
US8493482B2 (en) 2010-08-18 2013-07-23 Apple Inc. Dual image sensor image processing system and method
US9398205B2 (en) 2010-09-01 2016-07-19 Apple Inc. Auto-focus control using image statistics data with coarse and fine auto-focus scores
US8531542B2 (en) 2010-09-01 2013-09-10 Apple Inc. Techniques for acquiring and processing statistics data in an image signal processor
US8922704B2 (en) 2010-09-01 2014-12-30 Apple Inc. Techniques for collection of auto-focus statistics
US8605167B2 (en) 2010-09-01 2013-12-10 Apple Inc. Flexible color space selection for auto-white balance processing
US8629913B2 (en) 2010-09-30 2014-01-14 Apple Inc. Overflow control techniques for image signal processing
US8736700B2 (en) 2010-09-30 2014-05-27 Apple Inc. Techniques for synchronizing audio and video data in an image signal processing system
US8488055B2 (en) 2010-09-30 2013-07-16 Apple Inc. Flash synchronization using image sensor interface timing signal
US8786625B2 (en) 2010-09-30 2014-07-22 Apple Inc. System and method for processing image data using an image signal processor having back-end processing logic
US8471932B2 (en) 2010-09-30 2013-06-25 Apple Inc. Spatial filtering for image signal processing
US8508621B2 (en) 2010-09-30 2013-08-13 Apple Inc. Image sensor data formats and memory addressing techniques for image signal processing
US8508612B2 (en) 2010-09-30 2013-08-13 Apple Inc. Image signal processor line buffer configuration for processing ram image data
US20120109609A1 (en) * 2010-11-02 2012-05-03 Michael Weber Online media and presentation interaction method
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US8994660B2 (en) 2011-08-29 2015-03-31 Apple Inc. Text correction processing
WO2013085546A1 (en) 2011-12-09 2013-06-13 Hewlett-Packard Development Company, Lp Modification of images based on orientation
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US9483461B2 (en) 2012-03-06 2016-11-01 Apple Inc. Handling speech synthesis of content for multiple languages
US9280610B2 (en) 2012-05-14 2016-03-08 Apple Inc. Crowd sourcing information to fulfill user requests
US9031319B2 (en) 2012-05-31 2015-05-12 Apple Inc. Systems and methods for luma sharpening
US11089247B2 (en) 2012-05-31 2021-08-10 Apple Inc. Systems and method for reducing fixed pattern noise in image data
US9077943B2 (en) 2012-05-31 2015-07-07 Apple Inc. Local image statistics collection
US9142012B2 (en) 2012-05-31 2015-09-22 Apple Inc. Systems and methods for chroma noise reduction
US9014504B2 (en) 2012-05-31 2015-04-21 Apple Inc. Systems and methods for highlight recovery in an image signal processor
US8953882B2 (en) 2012-05-31 2015-02-10 Apple Inc. Systems and methods for determining noise statistics of image data
US8917336B2 (en) 2012-05-31 2014-12-23 Apple Inc. Image signal processing involving geometric distortion correction
US8872946B2 (en) 2012-05-31 2014-10-28 Apple Inc. Systems and methods for raw image processing
US9332239B2 (en) 2012-05-31 2016-05-03 Apple Inc. Systems and methods for RGB image processing
US9025867B2 (en) 2012-05-31 2015-05-05 Apple Inc. Systems and methods for YCC image processing
US9105078B2 (en) 2012-05-31 2015-08-11 Apple Inc. Systems and methods for local tone mapping
US8817120B2 (en) 2012-05-31 2014-08-26 Apple Inc. Systems and methods for collecting fixed pattern noise statistics of image data
US9743057B2 (en) 2012-05-31 2017-08-22 Apple Inc. Systems and methods for lens shading correction
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US9495129B2 (en) 2012-06-29 2016-11-15 Apple Inc. Device, method, and user interface for voice-activated navigation and browsing of a document
US9576574B2 (en) 2012-09-10 2017-02-21 Apple Inc. Context-sensitive handling of interruptions by intelligent digital assistant
US9547647B2 (en) 2012-09-19 2017-01-17 Apple Inc. Voice-based media searching
US9516229B2 (en) * 2012-11-27 2016-12-06 Qualcomm Incorporated System and method for adjusting orientation of captured video
EP2954514B1 (en) 2013-02-07 2021-03-31 Apple Inc. Voice trigger for a digital assistant
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
AU2014233517B2 (en) 2013-03-15 2017-05-25 Apple Inc. Training an at least partial voice command system
WO2014144579A1 (en) 2013-03-15 2014-09-18 Apple Inc. System and method for updating an adaptive speech recognition model
WO2014197334A2 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
WO2014197336A1 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
WO2014197335A1 (en) 2013-06-08 2014-12-11 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
WO2014200728A1 (en) 2013-06-09 2014-12-18 Apple Inc. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
AU2014278595B2 (en) 2013-06-13 2017-04-06 Apple Inc. System and method for emergency calls initiated by voice command
KR101749009B1 (en) 2013-08-06 2017-06-19 애플 인크. Auto-activating smart responses based on activities from remote devices
US9237847B2 (en) 2014-02-11 2016-01-19 Welch Allyn, Inc. Ophthalmoscope device
US9211064B2 (en) 2014-02-11 2015-12-15 Welch Allyn, Inc. Fundus imaging system
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9966065B2 (en) 2014-05-30 2018-05-08 Apple Inc. Multi-command single utterance input method
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US11045088B2 (en) 2015-02-27 2021-06-29 Welch Allyn, Inc. Through focus retinal image capturing
US10799115B2 (en) 2015-02-27 2020-10-13 Welch Allyn, Inc. Through focus retinal image capturing
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US9578173B2 (en) 2015-06-05 2017-02-21 Apple Inc. Virtual assistant aided communication with 3rd party service in a communication session
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US10136804B2 (en) 2015-07-24 2018-11-27 Welch Allyn, Inc. Automatic fundus image capture system
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification
US10772495B2 (en) * 2015-11-02 2020-09-15 Welch Allyn, Inc. Retinal image capturing
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US10413179B2 (en) 2016-01-07 2019-09-17 Welch Allyn, Inc. Infrared fundus imaging system
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
DK179309B1 (en) 2016-06-09 2018-04-23 Apple Inc Intelligent automated assistant in a home environment
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10586535B2 (en) 2016-06-10 2020-03-10 Apple Inc. Intelligent digital assistant in a multi-tasking environment
DK201670540A1 (en) 2016-06-11 2018-01-08 Apple Inc Application integration with a digital assistant
DK179343B1 (en) 2016-06-11 2018-05-14 Apple Inc Intelligent task discovery
DK179049B1 (en) 2016-06-11 2017-09-18 Apple Inc Data driven natural language event detection and classification
DK179415B1 (en) 2016-06-11 2018-06-14 Apple Inc Intelligent device arbitration and control
US10043516B2 (en) 2016-09-23 2018-08-07 Apple Inc. Intelligent automated assistant
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
DK201770439A1 (en) 2017-05-11 2018-12-13 Apple Inc. Offline personal assistant
DK179496B1 (en) 2017-05-12 2019-01-15 Apple Inc. USER-SPECIFIC Acoustic Models
DK179745B1 (en) 2017-05-12 2019-05-01 Apple Inc. SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT
DK201770432A1 (en) 2017-05-15 2018-12-21 Apple Inc. Hierarchical belief states for digital assistants
DK201770431A1 (en) 2017-05-15 2018-12-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback
DK179560B1 (en) 2017-05-16 2019-02-18 Apple Inc. Far-field extension for digital assistant services
US11096574B2 (en) 2018-05-24 2021-08-24 Welch Allyn, Inc. Retinal image capturing
US11393432B2 (en) * 2020-09-24 2022-07-19 Snap Inc. Rotational image viewer

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3814227A (en) 1972-09-27 1974-06-04 Honeywell Inc Matrix print rotation
US3971065A (en) 1975-03-05 1976-07-20 Eastman Kodak Company Color imaging array
US4364650A (en) 1979-10-05 1982-12-21 Fuji Photo Film Co., Ltd. Exposure control method and device
JPH04120889A (en) 1990-09-12 1992-04-21 Hitachi Ltd Video telephone system
US5218459A (en) 1991-09-16 1993-06-08 Eastman Kodak Company Print scanner with soft key variable magnification
US5227889A (en) * 1990-05-11 1993-07-13 Matsushita Electric Industrial Co., Ltd. Image slant compensatable video camera
US5521639A (en) 1992-04-30 1996-05-28 Sony Corporation Solid-state imaging apparatus including a reference pixel in the optically-black region
US5576759A (en) * 1992-12-07 1996-11-19 Nikon Corporation Image processing system for classifying reduced image data
US5710572A (en) * 1994-04-08 1998-01-20 Fuji Photo Film, Co., Ltd. Image display apparatus and method
US5900909A (en) * 1995-04-13 1999-05-04 Eastman Kodak Company Electronic still camera having automatic orientation sensing and image correction

Family Cites Families (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4337479A (en) 1979-09-13 1982-06-29 Matsushita Electric Industrial Co., Ltd. Color resolution compensator
US4470067A (en) 1980-12-27 1984-09-04 Japan Broadcasting Corp. Automatic gain control apparatus
JPS58222382A (en) 1982-06-18 1983-12-24 Ricoh Co Ltd Correcting system for inclination of picture
JPS63178287A (en) 1987-01-20 1988-07-22 株式会社東芝 Display device
US5122827A (en) * 1987-07-07 1992-06-16 Nikon Corporation Camera provided with an attitude detecting device
US5274418A (en) * 1988-05-09 1993-12-28 Nikon Corporation Image processing system
DE68928217T2 (en) * 1988-09-09 1998-01-29 Canon Kk Automatic image stabilization device
US5262863A (en) 1989-10-06 1993-11-16 Kabushiki Kaisha Toshiba Video signal processor having an adjustable noise cancelling circuit
US4995089A (en) 1990-01-08 1991-02-19 Eastman Kodak Company Method and apparatus for providing font rotation
US5270831A (en) 1990-09-14 1993-12-14 Eastman Kodak Company Storage and playback of digitized images in digital database together with presentation control file to define image orientation/aspect ratio
GB2256989B (en) * 1991-06-21 1995-02-08 Sony Broadcast & Communication Video image capture apparatus
WO1993011500A1 (en) 1991-11-27 1993-06-10 Seiko Epson Corporation Pixel modification unit
US5448372A (en) 1991-12-18 1995-09-05 Eastman Kodak Company Storage and retrieval of digitized photographic images
JPH0698288A (en) 1992-09-10 1994-04-08 Nikon Corp Still picture storage device
JPH0720555A (en) 1993-07-02 1995-01-24 Asahi Optical Co Ltd Display device in finder of camera
JP3528214B2 (en) * 1993-10-21 2004-05-17 株式会社日立製作所 Image display method and apparatus
JP3513950B2 (en) * 1993-12-14 2004-03-31 株式会社ニコン Image stabilization camera
US6407817B1 (en) * 1993-12-20 2002-06-18 Minolta Co., Ltd. Measuring system with improved method of reading image data of an object
JP3125124B2 (en) * 1994-06-06 2001-01-15 松下電器産業株式会社 Defective pixel damage correction circuit
US5598181A (en) 1994-09-26 1997-01-28 Xerox Corporation Method and apparatus for rotating a digital image ninety degrees using a small auxiliary buffer
US5764291A (en) 1994-09-30 1998-06-09 Apple Computer, Inc. Apparatus and method for orientation-dependent camera exposure and focus setting optimization
EP0807352A1 (en) * 1995-01-31 1997-11-19 Transcenic, Inc Spatial referenced photography
KR970703568A (en) 1995-04-07 1997-07-03 이시마루 미키오 METHOD AND APPARATUS FOR IMAGE POTATION
US5634088A (en) 1995-11-01 1997-05-27 Xerox Corporation Method and apparatus for rotation of high addressability bitmap images
US5734875A (en) 1996-02-05 1998-03-31 Seiko Epson Corporation Hardware that rotates an image for portrait-oriented display
US5854641A (en) 1996-09-27 1998-12-29 Apple Computer, Inc. Method and apparatus for display image rotation

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3814227A (en) 1972-09-27 1974-06-04 Honeywell Inc Matrix print rotation
US3971065A (en) 1975-03-05 1976-07-20 Eastman Kodak Company Color imaging array
US4364650A (en) 1979-10-05 1982-12-21 Fuji Photo Film Co., Ltd. Exposure control method and device
US5227889A (en) * 1990-05-11 1993-07-13 Matsushita Electric Industrial Co., Ltd. Image slant compensatable video camera
JPH04120889A (en) 1990-09-12 1992-04-21 Hitachi Ltd Video telephone system
US5218459A (en) 1991-09-16 1993-06-08 Eastman Kodak Company Print scanner with soft key variable magnification
US5521639A (en) 1992-04-30 1996-05-28 Sony Corporation Solid-state imaging apparatus including a reference pixel in the optically-black region
US5576759A (en) * 1992-12-07 1996-11-19 Nikon Corporation Image processing system for classifying reduced image data
US5710572A (en) * 1994-04-08 1998-01-20 Fuji Photo Film, Co., Ltd. Image display apparatus and method
US5900909A (en) * 1995-04-13 1999-05-04 Eastman Kodak Company Electronic still camera having automatic orientation sensing and image correction

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8451344B1 (en) * 2011-03-24 2013-05-28 Amazon Technologies, Inc. Electronic devices with side viewing capability
US9282222B1 (en) 2011-03-24 2016-03-08 Amazon Technologies, Inc. Electronic devices with side viewing capability
US20130271496A1 (en) * 2012-04-17 2013-10-17 Tzu-Wei SU Projector, projecting system comprising the same and automatic image adjusting method thereof
US9007403B2 (en) * 2012-04-17 2015-04-14 Delta Electronics, Inc. Projector, projecting system comprising the same and automatic image adjusting method thereof
US20140307001A1 (en) * 2013-04-10 2014-10-16 Canon Kabushiki Kaisha Information processing device and control method thereof
US9489927B2 (en) * 2013-04-10 2016-11-08 Canon Kabushiki Kaisha Information processing device for controlling direction of display image and control method thereof
US10088866B2 (en) 2015-03-18 2018-10-02 Motorola Mobility Llc Controlling the orientation of a device display based on usage context
US10686992B2 (en) 2018-07-31 2020-06-16 Qualcomm Incorporated Image orientation notification and adjustment

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