CA2462486A1 - Automatic color correction for sequences of images - Google Patents
Automatic color correction for sequences of images Download PDFInfo
- Publication number
- CA2462486A1 CA2462486A1 CA002462486A CA2462486A CA2462486A1 CA 2462486 A1 CA2462486 A1 CA 2462486A1 CA 002462486 A CA002462486 A CA 002462486A CA 2462486 A CA2462486 A CA 2462486A CA 2462486 A1 CA2462486 A1 CA 2462486A1
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- Prior art keywords
- images
- color correction
- sequence
- representative
- representative image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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- 239000003086 colorant Substances 0.000 claims abstract 11
- 238000004590 computer program Methods 0.000 claims 15
- 238000000034 method Methods 0.000 claims 15
Classifications
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- G06T5/90—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration by the use of histogram techniques
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6027—Correction or control of colour gradation or colour contrast
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6077—Colour balance, e.g. colour cast correction
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Abstract
Automatic color correction is applied to a scene or clip, including a sequence of images, in a motion picture by selecting a representative image of the scene, analyzing the image and adjusting parameters of a color correction operation that is performed on the sequence of images included in the scene. This operation can be repeated automatically for all scenes or for selected scenes in the motion picture. The parameters may be adjusted to automatically color balance the image while maintaining substantially constant contrast. Analysis of the representative image may include identifying an offset of a peak in a two-dimensional histogram of the colors in the representative image from a white point. Parameters of a color correction operation are adjusted according to this offset. Separate histograms and offsets may be determined for shadows, midtones and highlight regions of the representative image. Analysis of the representative image may include determining a one-dimensional histogram of the luminance information in the representative image. The darkest level and the brightest level in the image are used to balance the image. In particular, the histograms for color channels in the image, such as red, green and blue, are adjusted to match the darkest level and brightest level identified by the luminance histogram.
Claims (27)
1. A method for automatic color correction of a sequence of images, comprising:
receiving an indication of one ar more representative images in the sequence of images;
analyzing characteristics of the one or more representative images;
determining parameters for a color correction operation according to the analyzed characteristics of the one or more representative images; and applying the color correction operation with the determined parameters to the sequence of images.
receiving an indication of one ar more representative images in the sequence of images;
analyzing characteristics of the one or more representative images;
determining parameters for a color correction operation according to the analyzed characteristics of the one or more representative images; and applying the color correction operation with the determined parameters to the sequence of images.
2. The method of claim 1, wherein analyzing characteristics of the one or more representative images comprises:
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
3. The method of claim 2, wherein determining parameters comprises:
using the determined offset to determine an offset for color correction of the image.
using the determined offset to determine an offset for color correction of the image.
4. The method of claim 2, wherein generating the two-dimensional histogram comprises:
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow or highlight;
generating a two-dimensional histogram for each of shadows and highlights using the determined weightings for each pixel.
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow or highlight;
generating a two-dimensional histogram for each of shadows and highlights using the determined weightings for each pixel.
5. The method of claim 4, wherein determining parameters comprises:
using the determined offset for shadows to determine an offset for color correction of shadows;
using the determined offset for highlights to determine an offset for color correction of highlights; and using the determined offsets for shadows and highlights to determine an offset for color correction of midtones.
using the determined offset for shadows to determine an offset for color correction of shadows;
using the determined offset for highlights to determine an offset for color correction of highlights; and using the determined offsets for shadows and highlights to determine an offset for color correction of midtones.
6. The method of claim 1, wherein analyzing characteristics of the one or more representative images comprises:
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value.
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value.
7. The method of claim 6, wherein determining parameters comprises:
determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
8. A computer program product, comprising:
a computer readable medium;
computer program instructions stored on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for automatic color correction of a sequence of images, comprising:
receiving are indication of one or more representative images in the sequence of images;
analyzing characteristics of the representative image;
determining parameters for a color correction operation according to the analyzed characteristics of the representative image; and applying the color correction operation with the determined parameters to the sequence of images.
a computer readable medium;
computer program instructions stored on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for automatic color correction of a sequence of images, comprising:
receiving are indication of one or more representative images in the sequence of images;
analyzing characteristics of the representative image;
determining parameters for a color correction operation according to the analyzed characteristics of the representative image; and applying the color correction operation with the determined parameters to the sequence of images.
9. The computer program product of claim 8, wherein analyzing characteristics of the one or more representative images comprises:
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
10. The computer program product of claim 9, wherein determining parameters comprises:
using the determined offset to determine an offset for color correction of the image.
using the determined offset to determine an offset for color correction of the image.
11. The computer program product of claim 10, wherein generating the two-dimensional histogram comprises:
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow or highlight; and generating a two-dimensional histogram for each of shadows and highlights using the determined weightings for each pixel.
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow or highlight; and generating a two-dimensional histogram for each of shadows and highlights using the determined weightings for each pixel.
12. The computer program product of claim 11, wherein determining parameters comprises:
using the determined offset for shadows to determine an offset for color correction of shadows;
using the determined offset for highlights to determine an. offset for color correction of highlights; and using the determined offsets for shadows and highlights to determine an offset for color correction of midtones.
using the determined offset for shadows to determine an offset for color correction of shadows;
using the determined offset for highlights to determine an. offset for color correction of highlights; and using the determined offsets for shadows and highlights to determine an offset for color correction of midtones.
13. The computer program product of claim 8, wherein analyzing characteristics of the one or more representative images comprises:
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value.
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value.
14. The computer program product of claim 13, wherein determining parameters comprises:
determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
15. A method for analyzing characteristics of one or more representative images from a sequence of images, comprising:
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
16. The method of claim 15, wherein generating the two-dimensional histogram comprises:
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow or highlight; and generating a two-dimensional histogram for each of shadows and highlights using the determined weightings for each pixel.
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow or highlight; and generating a two-dimensional histogram for each of shadows and highlights using the determined weightings for each pixel.
17. A computer program product, comprising:
a computer readable medium;
computer program instructions stored. on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for analyzing characteristics of one or more representative images from a sequence of images, comprising:
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
a computer readable medium;
computer program instructions stored. on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for analyzing characteristics of one or more representative images from a sequence of images, comprising:
generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and determining an offset between a peak value in the two-dimensional histogram and the white point.
18. The computer program product of claim 17, wherein generating the two-dimensional histogram comprises:
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow, midtone or highlight; and generating a two-dimensional histogram for each of shadows, midtones and highlights using the determined weightings for each pixel.
for each pixel, determining a weighting for the pixel with respect to its classification as a shadow, midtone or highlight; and generating a two-dimensional histogram for each of shadows, midtones and highlights using the determined weightings for each pixel.
19. A method for analyzing characteristics of one or more representative images from a sequence of images, comprising:
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value; and determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value; and determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
20. A computer program product, comprising:
a computer readable medium;
computer program instructions stored on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for. analyzing characteristics of one or more representative images from a sequence of images, comprising:
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value; and determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
a computer readable medium;
computer program instructions stored on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for. analyzing characteristics of one or more representative images from a sequence of images, comprising:
generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value; and determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value for each color to the darkest value and brightest value for the luminance.
21. A system far automatic color correction of a sequence of images, comprising:
an image analyzer having an input for receiving an indication of one or more representative images in the sequence of images and an output for providing information indicative of characteristics of the one or more representative images;
a parameter calculator having an input for receiving the information indicative of characteristics of the one or more representative images and an output for providing parameters for a color correction operation according to the analyzed characteristics of the one or more representative images;
a color corrector having a first input for receiving the parameters and a second input for receiving the sequence of images and an output for providing the sequence of images color corrected according to the determined parameters.
an image analyzer having an input for receiving an indication of one or more representative images in the sequence of images and an output for providing information indicative of characteristics of the one or more representative images;
a parameter calculator having an input for receiving the information indicative of characteristics of the one or more representative images and an output for providing parameters for a color correction operation according to the analyzed characteristics of the one or more representative images;
a color corrector having a first input for receiving the parameters and a second input for receiving the sequence of images and an output for providing the sequence of images color corrected according to the determined parameters.
22. A method for automatic color correction of a sequence of clips of video information, comprising:
receiving an indication of a representative image for each clip in the sequence;
analyzing characteristics of the representative image for each clip;
determining parameters for a color correction operation for each clip according to the analyzed characteristics of the representative image for the clips and applying to each clip the color correction operation with the parameters determined for the clip.
receiving an indication of a representative image for each clip in the sequence;
analyzing characteristics of the representative image for each clip;
determining parameters for a color correction operation for each clip according to the analyzed characteristics of the representative image for the clips and applying to each clip the color correction operation with the parameters determined for the clip.
23. A system for automatic color correction of a sequence of images, comprising:
means for receiving an indication of one or more representative images in the sequence of images and analyzing characteristics of the one or more representative images;
means for determining parameters for a color correction operation according to the analyzed characteristics of the one or more representative images;
and means for applying the color correction operation with the determined parameters to the sequence of images.
means for receiving an indication of one or more representative images in the sequence of images and analyzing characteristics of the one or more representative images;
means for determining parameters for a color correction operation according to the analyzed characteristics of the one or more representative images;
and means for applying the color correction operation with the determined parameters to the sequence of images.
24. A system for analyzing characteristics of one or more representative images from a sequence of images, comprising:
means for generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and means for determining an offset between a peak value in the two-dimensional histogram and the white point.
means for generating a two-dimensional histogram of colors in the representative image, wherein the two-dimensions include a white point; and means for determining an offset between a peak value in the two-dimensional histogram and the white point.
25. A system for analyzing characteristics of one or more representative images from a sequence of images, comprising:
means for generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value; and means for determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value nor each color to the darkest value and brightest value for the luminance.
means for generating a histogram of luminance in the representative image, whereby the histogram indicates a darkest value and a brightest value; and means for determining adjustments to histograms of colors in the representative image to match a darkest value and a brightest value nor each color to the darkest value and brightest value for the luminance.
26. A computer program product, comprising:
a computer readable medium;
computer program instructions stored on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for automatic color correction of a sequence of clips of video information, comprising:
receiving an indication of a representative image for each clip in the sequence;
analyzing characteristics of the representative image for each clip;
determining parameters for a color correction operation for each clip according to the analyzed characteristics of the representative image for the clip;
and applying to each clip the color correction operation with the parameters determined for the clip.
a computer readable medium;
computer program instructions stored on the computer readable medium that, when executed by a computer, instruct the computer to perform a method for automatic color correction of a sequence of clips of video information, comprising:
receiving an indication of a representative image for each clip in the sequence;
analyzing characteristics of the representative image for each clip;
determining parameters for a color correction operation for each clip according to the analyzed characteristics of the representative image for the clip;
and applying to each clip the color correction operation with the parameters determined for the clip.
27. A system for automatic color correction of a sequence of clips of video information, comprising:
means for receiving an indication of a representative image for each clip in the sequence;
means for analyzing characteristics of the representative image for each clip;
means for determining parameters for a color correction operation for each clip according to the analyzed characteristics of the representative image for the clip;
and means for applying to each clip the color correction operation with the parameters determined for the clip.
means for receiving an indication of a representative image for each clip in the sequence;
means for analyzing characteristics of the representative image for each clip;
means for determining parameters for a color correction operation for each clip according to the analyzed characteristics of the representative image for the clip;
and means for applying to each clip the color correction operation with the parameters determined for the clip.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US10/404,708 US7684096B2 (en) | 2003-04-01 | 2003-04-01 | Automatic color correction for sequences of images |
| US10/404,708 | 2003-04-01 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2462486A1 true CA2462486A1 (en) | 2004-10-01 |
| CA2462486C CA2462486C (en) | 2010-12-21 |
Family
ID=33096967
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA2462486A Expired - Lifetime CA2462486C (en) | 2003-04-01 | 2004-03-30 | Automatic color correction for sequences of images |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US7684096B2 (en) |
| EP (1) | EP1489855A3 (en) |
| JP (2) | JP3869837B2 (en) |
| CA (1) | CA2462486C (en) |
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2004
- 2004-03-25 EP EP04251738A patent/EP1489855A3/en not_active Withdrawn
- 2004-03-30 CA CA2462486A patent/CA2462486C/en not_active Expired - Lifetime
- 2004-03-31 JP JP2004103656A patent/JP3869837B2/en not_active Expired - Lifetime
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2006
- 2006-08-23 JP JP2006226960A patent/JP2007014008A/en active Pending
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|---|---|
| JP2004312732A (en) | 2004-11-04 |
| US20040197022A1 (en) | 2004-10-07 |
| US7684096B2 (en) | 2010-03-23 |
| JP2007014008A (en) | 2007-01-18 |
| JP3869837B2 (en) | 2007-01-17 |
| EP1489855A3 (en) | 2006-07-05 |
| EP1489855A2 (en) | 2004-12-22 |
| CA2462486C (en) | 2010-12-21 |
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