WO2002037690A2 - A method of generating huffman code length information - Google Patents
A method of generating huffman code length information Download PDFInfo
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- WO2002037690A2 WO2002037690A2 PCT/US2001/031440 US0131440W WO0237690A2 WO 2002037690 A2 WO2002037690 A2 WO 2002037690A2 US 0131440 W US0131440 W US 0131440W WO 0237690 A2 WO0237690 A2 WO 0237690A2
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
Definitions
- the present disclosure is related to Huffman coding.
- Huffman codes of a set of symbols are generated based at least in part on the probability of occurrence of source symbols.
- a binary tree commonly referred to as a "Huffman Tree” is generated to extract the binary code and the code length. See, for example, D.A. Huffman, "A Method for the Construction of Minimum - Redundancy Codes," Proceedings of the IRE, Volume 40 No. 9, pages 1098 to 1101, 1952. D.A. Huffman, in the aforementioned paper, describes the process this way:
- GZIP is a text compression utility, developed under the GNU (Gnu's Not Unix) project, a project with a goal of developing a "free” or freely available UNIX-like operation system, for replacing the "compress" text compression utility on a UNIX operation system. See, for example, Gailly, J. L. and Adler, M., GZIP documentation and sources, available as gzip-1.2.4.tar at the website "http://www.gzip.orh/”.
- Huffman tree information is passed from the encoder to the decoder in terms of a set of code lengths along with compressed text. Both the encoder and decoder, therefore, generate a unique Huffman code based upon this code-length information.
- FIG. 1 is a table illustrating a set of symbols with their corresponding frequency to which an embodiment in accordance with the present invention may be applied;
- FIG. 2 is a table illustrating a first portion of an embodiment in accordance with the present invention, after initialization for the data shown in FIG. 1;
- FIG. 3 is a table illustrating a second portion of an embodiment of the present invention, after initialization for the data shown on FIG. 2;
- FIG. 4 is the table of FIG. 2, after a first merging operation has been applied;
- FIG. 5 is the table of FIG. 3, after a first merging operation has been applied;
- FIG. 6 is the table of FIG. 5, after the merging operations have been completed;
- FIG. 7 is the table of FIG. 4, after the merging operations have been completed.
- Huffman codes for a set of symbols are generated based, at least in part, on the probability of occurrence of the source symbols.
- a binary tree commonly referred to as a Huffman tree
- the Huffman tree information is passed from encoder to decoder in terms of a set of code lengths with the compressed text data.
- Both the encoder and decoder generate a unique Huffman code based on the code length information.
- generating the length information for the Huffman codes by constructing the corresponding Huffman tree is inefficient and often redundant. After the Huffman codes are produced from the Huffman tree, the codes are abandoned because the encoder and decoder will generate the Huffman codes based on the length information. Therefore, it would be desirable if the length information could be determined without producing a Huffman tree.
- One embodiment, in accordance with the invention of a method of generating code lengths, for codes to be encoded, using a data structure is provided.
- the data structure is sorted, symbols in the data structure are combined, and symbol length is updated based, at least in part, on the frequency of the symbols being coded.
- the data structure aides in the extraction of lengths of Huffman codes from a group of symbols without generating a Huffman tree where the probability of occurrence of the symbols is known.
- FIG. 1 is a table illustrating a set of symbols with their corresponding frequency, although, of course, this is provided simply as an alternative example. An embodiment of a method of generating code lengths in accordance with the present invention may be applied to this set of symbols.
- FIG. 1 illustrates a set of 18 symbols, although of course the invention is not limited in scope in this respect. In this particular example, although, again, the invention is not limited in scope in this respect, inspection of the frequency information reveals two symbols, index no. 7 and 13 of the shaded regions in FIG. 1 , do not occur in this symbol set.
- the data structure to be employed has at least two portions.
- FIG. 2 illustrates this first portion of an embodiment applied to the symbols of FIG. 1.
- FIG. 2 includes 16 entries, zero to 15, corresponding to the 16 non-zero frequency symbols.
- the first field or column shows the associated symbol indices after the previously described sorting operation.
- the symbol frequency information illustrated in FIG. 2 is not part of the data structure, but is provided here merely for illustration purposes. It illustrates the descending order of the symbols in terms of frequency, in this example.
- the second field or column of the data structure although, again, the invention is not limited in scope in this respect or to this particular embodiment, contains the length information for each symbol and is initialized to zero.
- the second part or portion of the data structure for this particular embodiment after initialization using the data or symbols in FIG. 2, is shown or illustrated in FIG. 3.
- the first field of this portion of the data structure that is the portion illustrated in FIG. 3, contains the frequency for the group.
- the second field for this particular embodiment contains bit flags.
- the bit flags correspond to or indicate the entry number of the symbols belonging to the group. For example, as illustrated in FIG. 3, the shaded area contains a symbol with entry no. 3.
- the group frequency is 3 and the bit flags are set to:
- bit number (15 3210) bit value: 0000 0000 0000 1000
- bit number 3 is set to “1” in this example, while the remaining bits are set to “0".
- the symbol to be coded is assigned a different bit flag for each symbol.
- the code length initially comprises zero for each symbol.
- symbol flags are combined beginning with the smallest frequency symbols. The symbols are then resorted and frequency information is updated to reflect the combination. These operations of combining signal flags and resorting are then repeated until no more symbols remain to be combined.
- the process is begun by initializing the data structure, such as the embodiment previously described, and setting a "counter” designated here "no_of_group”, to the number of non-zero frequency symbols, here 16. Next, while this "counter,” that is, no_of_group, is greater than one, the following operations are performed.
- the last two "groups” or “rows” in the second part or portion of the data structure are combined or merged and, as illustrated in FIG. 5, this portion of the data structure is resorted, that is, the combined symbols are sorted in the data structure appropriately based upon group frequency, in this particular embodiment.
- the merger or combining operation for the group frequency may be implemented in this particular embodiment by simply adding the frequencies together and a merger/combining operation for the second field of the data structure for this particular embodiment may be implemented as a "bitwise" logical OR operation.
- This provides advantages in terms of implementation in software and/or hardware.
- Another advantage of this particular embodiment is efficient use of memory, in addition to the ease of implementation of operations, such as summing and logical OR operations.
- the length information in the first portion or part of the data structure for this particular embodiment is updated to reflect the previous merging or combining operation. This is illustrated, for example, for this particular embodiment, in FIG. 4.
- One way to implement this operation is by scanning the "one" bits of the merged bit flags. That is, in this particular embodiment, the second field in the second portion of the data structure, is scanned and length information is increased or augmented by one in the corresponding entries in the first portion or part of the data structure.
- FIG. 6 shows the final results of the code length information where this has occurred. Therefore, as illustrated in FIG. 7, the desired code length information is obtained.
- Huffman code length information may be extracted or produced without generating a Huffman tree.
- a method of encoding symbols may comprise encoding symbols using code length information; and generating the code length information without using a Huffman tree, such as, for example, using the embodiment previously described for generating code length information, although the invention is, of course, not limited in scope to the previous embodiment. It is, of course, understood in this context, that the length information is employed to encode symbols where the length information is generated from a Huffman code.
- a method of decoding symbols may comprise decoding symbols, wherein the symbols have been encoded using code length information and the code length information was generated without using a Huffman tree. It is, again, understood in this context, that the length information employed to encode symbols is generated from a
- Huffman code Again, one approach to generate the code length information comprises the previously described embodiment. It will, of course, be understood that, although particular embodiments have just been described, the invention is not limited in scope to a particular embodiment or implementation. For example, one embodiment may be in hardware, whereas another embodiment may be in software. Likewise, an embodiment may be in firmware, or any combination of hardware, software, or firmware, for example. Likewise, although the invention is not limited in scope in this respect, one embodiment may comprise an article, such as a storage medium.
- Such a storage medium such as, for example, a CD-ROM, or a disk, may have stored thereon instructions, which when executed by a system, such as a computer system or platform, or an imaging system, may result in an embodiment of a method in accordance with the present invention being executed, such as a method of generating Huffman code length information, for example, as previously described.
- a system such as a computer system or platform, or an imaging system
- embodiments of a method of initializing a data structure, encoding symbols, and/or decoding symbols in accordance with the present invention, may be executed.
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Priority Applications (5)
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AU2002215320A AU2002215320A1 (en) | 2000-10-31 | 2001-10-09 | A method of generating huffman code length information |
JP2002540320A JP4012065B2 (en) | 2000-10-31 | 2001-10-09 | How to generate Huffman code length information |
DE10196847T DE10196847B4 (en) | 2000-10-31 | 2001-10-09 | A method for generating Huffman code length information |
GB0311325A GB2385758B (en) | 2000-10-31 | 2001-10-09 | A method of generating huffman code length information |
KR1020037006043A KR100667293B1 (en) | 2000-10-31 | 2001-10-09 | A method of generating huffman code length information |
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US09/704,392 US6636167B1 (en) | 2000-10-31 | 2000-10-31 | Method of generating Huffman code length information |
US09/704,392 | 2000-10-31 |
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WO2002037690A2 true WO2002037690A2 (en) | 2002-05-10 |
WO2002037690A3 WO2002037690A3 (en) | 2002-08-22 |
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US (3) | US6636167B1 (en) |
JP (1) | JP4012065B2 (en) |
KR (2) | KR100667293B1 (en) |
CN (1) | CN1531781A (en) |
AU (1) | AU2002215320A1 (en) |
DE (1) | DE10196847B4 (en) |
GB (1) | GB2385758B (en) |
TW (1) | TW538601B (en) |
WO (1) | WO2002037690A2 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6919827B2 (en) | 2003-12-03 | 2005-07-19 | Samsung Electronics Co., Ltd. | Method and apparatus for effectively decoding Huffman code |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6636167B1 (en) | 2000-10-31 | 2003-10-21 | Intel Corporation | Method of generating Huffman code length information |
US6563439B1 (en) * | 2000-10-31 | 2003-05-13 | Intel Corporation | Method of performing Huffman decoding |
US7274671B2 (en) * | 2001-02-09 | 2007-09-25 | Boly Media Communications, Inc. | Bitwise adaptive encoding using prefix prediction |
WO2003036609A1 (en) * | 2001-10-24 | 2003-05-01 | Bea Systems, Inc. | Portal administration tool |
KR100484137B1 (en) * | 2002-02-28 | 2005-04-18 | 삼성전자주식회사 | Improved huffman decoding method and apparatus thereof |
US20050228816A1 (en) * | 2004-04-13 | 2005-10-13 | Bea Systems, Inc. | System and method for content type versions |
TWI324736B (en) * | 2006-11-01 | 2010-05-11 | Sunplus Technology Co Ltd | Searial transmission controller, searial transmission decoder and searial transmission method thereof |
TWI330473B (en) * | 2006-11-24 | 2010-09-11 | Primax Electronics Ltd | Huffman decoding method |
US8321326B2 (en) * | 2009-09-15 | 2012-11-27 | Auerbach Group Llc | Method and system for enhancing the efficiency of a digitally communicated data exchange |
KR101725223B1 (en) * | 2011-03-25 | 2017-04-11 | 삼성전자 주식회사 | Data compressing method of storage device |
US9059731B2 (en) * | 2013-10-21 | 2015-06-16 | International Business Machines Corporation | Boosting decompression in the presence of reoccurring Huffman trees |
US9766888B2 (en) | 2014-03-28 | 2017-09-19 | Intel Corporation | Processor instruction to store indexes of source data elements in positions representing a sorted order of the source data elements |
US10027346B2 (en) * | 2015-05-11 | 2018-07-17 | Via Alliance Semiconductor Co., Ltd. | Hardware data compressor that maintains sorted symbol list concurrently with input block scanning |
US10693495B2 (en) | 2017-10-10 | 2020-06-23 | The Boeing Company | Data collection device with efficient data compression |
KR102488129B1 (en) | 2018-02-05 | 2023-01-12 | 에스케이하이닉스 주식회사 | High speed data encoder |
CN112332854A (en) * | 2020-11-27 | 2021-02-05 | 平安普惠企业管理有限公司 | Hardware implementation method and device of Huffman coding and storage medium |
CN112737596A (en) * | 2021-01-07 | 2021-04-30 | 苏州浪潮智能科技有限公司 | Dynamic Huffman coding method, device and equipment based on sorting network |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0907288A2 (en) * | 1997-10-02 | 1999-04-07 | AT&T Corp. | Method and apparatus for fast image compression |
US6075470A (en) * | 1998-02-26 | 2000-06-13 | Research In Motion Limited | Block-wise adaptive statistical data compressor |
Family Cites Families (113)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4899149A (en) * | 1986-02-28 | 1990-02-06 | Gary Kahan | Method of and apparatus for decoding Huffman or variable-length coees |
US4813056A (en) | 1987-12-08 | 1989-03-14 | General Electric Company | Modified statistical coding of digital signals |
EP0920136B1 (en) | 1992-10-13 | 2002-08-28 | Nec Corporation | Huffman code decoding circuit |
US5778371A (en) | 1994-09-13 | 1998-07-07 | Kabushiki Kaisha Toshiba | Code string processing system and method using intervals |
KR0139162B1 (en) * | 1994-11-30 | 1998-05-15 | 김광호 | Variable length coding and decoding apparatus using code rearrange |
US5875122A (en) | 1996-12-17 | 1999-02-23 | Intel Corporation | Integrated systolic architecture for decomposition and reconstruction of signals using wavelet transforms |
JP3346204B2 (en) * | 1996-12-26 | 2002-11-18 | 富士ゼロックス株式会社 | Variable length code decoding device |
GB2367223B (en) * | 1997-01-21 | 2002-05-15 | Fujitsu Ltd | Data encoding method and apparatus and data decoding method and apparatus |
US6009201A (en) | 1997-06-30 | 1999-12-28 | Intel Corporation | Efficient table-lookup based visually-lossless image compression scheme |
US6694061B1 (en) | 1997-06-30 | 2004-02-17 | Intel Corporation | Memory based VLSI architecture for image compression |
US5973627A (en) | 1997-08-28 | 1999-10-26 | Philips Electronics North America Corporation | Variable length decoder with adaptive acceleration optimized by sub-grouping and cross-grouping the symbols having the highest probability of occurrence |
US6009206A (en) | 1997-09-30 | 1999-12-28 | Intel Corporation | Companding algorithm to transform an image to a lower bit resolution |
US6151069A (en) | 1997-11-03 | 2000-11-21 | Intel Corporation | Dual mode digital camera for video and still operation |
US6285796B1 (en) | 1997-11-03 | 2001-09-04 | Intel Corporation | Pseudo-fixed length image compression scheme |
US6130960A (en) | 1997-11-03 | 2000-10-10 | Intel Corporation | Block-matching algorithm for color interpolation |
US6091851A (en) | 1997-11-03 | 2000-07-18 | Intel Corporation | Efficient algorithm for color recovery from 8-bit to 24-bit color pixels |
US6351555B1 (en) | 1997-11-26 | 2002-02-26 | Intel Corporation | Efficient companding algorithm suitable for color imaging |
US6229578B1 (en) | 1997-12-08 | 2001-05-08 | Intel Corporation | Edge-detection based noise removal algorithm |
US6094508A (en) | 1997-12-08 | 2000-07-25 | Intel Corporation | Perceptual thresholding for gradient-based local edge detection |
US6348929B1 (en) | 1998-01-16 | 2002-02-19 | Intel Corporation | Scaling algorithm and architecture for integer scaling in video |
US6215916B1 (en) | 1998-02-04 | 2001-04-10 | Intel Corporation | Efficient algorithm and architecture for image scaling using discrete wavelet transforms |
US6392699B1 (en) | 1998-03-04 | 2002-05-21 | Intel Corporation | Integrated color interpolation and color space conversion algorithm from 8-bit bayer pattern RGB color space to 12-bit YCrCb color space |
US6211521B1 (en) | 1998-03-13 | 2001-04-03 | Intel Corporation | Infrared pixel sensor and infrared signal correction |
US6356276B1 (en) | 1998-03-18 | 2002-03-12 | Intel Corporation | Median computation-based integrated color interpolation and color space conversion methodology from 8-bit bayer pattern RGB color space to 12-bit YCrCb color space |
US6366694B1 (en) | 1998-03-26 | 2002-04-02 | Intel Corporation | Integrated color interpolation and color space conversion algorithm from 8-bit Bayer pattern RGB color space to 24-bit CIE XYZ color space |
US6366692B1 (en) | 1998-03-30 | 2002-04-02 | Intel Corporation | Median computation-based integrated color interpolation and color space conversion methodology from 8-bit bayer pattern RGB color space to 24-bit CIE XYZ color space |
US6154493A (en) | 1998-05-21 | 2000-11-28 | Intel Corporation | Compression of color images based on a 2-dimensional discrete wavelet transform yielding a perceptually lossless image |
US6040790A (en) * | 1998-05-29 | 2000-03-21 | Xerox Corporation | Method of building an adaptive huffman codeword tree |
US6124811A (en) | 1998-07-02 | 2000-09-26 | Intel Corporation | Real time algorithms and architectures for coding images compressed by DWT-based techniques |
US6233358B1 (en) | 1998-07-13 | 2001-05-15 | Intel Corporation | Image compression using directional predictive coding of the wavelet coefficients |
US6236765B1 (en) | 1998-08-05 | 2001-05-22 | Intel Corporation | DWT-based up-sampling algorithm suitable for image display in an LCD panel |
US6178269B1 (en) | 1998-08-06 | 2001-01-23 | Intel Corporation | Architecture for computing a two-dimensional discrete wavelet transform |
US6047303A (en) | 1998-08-06 | 2000-04-04 | Intel Corporation | Systolic architecture for computing an inverse discrete wavelet transforms |
US5995210A (en) | 1998-08-06 | 1999-11-30 | Intel Corporation | Integrated architecture for computing a forward and inverse discrete wavelet transforms |
US6166664A (en) | 1998-08-26 | 2000-12-26 | Intel Corporation | Efficient data structure for entropy encoding used in a DWT-based high performance image compression |
US6301392B1 (en) | 1998-09-03 | 2001-10-09 | Intel Corporation | Efficient methodology to select the quantization threshold parameters in a DWT-based image compression scheme in order to score a predefined minimum number of images into a fixed size secondary storage |
US6731807B1 (en) * | 1998-09-11 | 2004-05-04 | Intel Corporation | Method of compressing and/or decompressing a data set using significance mapping |
US6195026B1 (en) | 1998-09-14 | 2001-02-27 | Intel Corporation | MMX optimized data packing methodology for zero run length and variable length entropy encoding |
US6108453A (en) | 1998-09-16 | 2000-08-22 | Intel Corporation | General image enhancement framework |
US6236433B1 (en) | 1998-09-29 | 2001-05-22 | Intel Corporation | Scaling algorithm for efficient color representation/recovery in video |
US6625318B1 (en) | 1998-11-13 | 2003-09-23 | Yap-Peng Tan | Robust sequential approach in detecting defective pixels within an image sensor |
US6759646B1 (en) | 1998-11-24 | 2004-07-06 | Intel Corporation | Color interpolation for a four color mosaic pattern |
US6535648B1 (en) | 1998-12-08 | 2003-03-18 | Intel Corporation | Mathematical model for gray scale and contrast enhancement of a digital image |
US6151415A (en) | 1998-12-14 | 2000-11-21 | Intel Corporation | Auto-focusing algorithm using discrete wavelet transform |
US6215908B1 (en) | 1999-02-24 | 2001-04-10 | Intel Corporation | Symmetric filtering based VLSI architecture for image compression |
US6381357B1 (en) | 1999-02-26 | 2002-04-30 | Intel Corporation | Hi-speed deterministic approach in detecting defective pixels within an image sensor |
US6275206B1 (en) | 1999-03-17 | 2001-08-14 | Intel Corporation | Block mapping based up-sampling method and apparatus for converting color images |
US6377280B1 (en) | 1999-04-14 | 2002-04-23 | Intel Corporation | Edge enhanced image up-sampling algorithm using discrete wavelet transform |
US6574374B1 (en) | 1999-04-14 | 2003-06-03 | Intel Corporation | Enhancing image compression performance by morphological processing |
US6563948B2 (en) | 1999-04-29 | 2003-05-13 | Intel Corporation | Using an electronic camera to build a file containing text |
US6640017B1 (en) | 1999-05-26 | 2003-10-28 | Intel Corporation | Method and apparatus for adaptively sharpening an image |
US6697534B1 (en) | 1999-06-09 | 2004-02-24 | Intel Corporation | Method and apparatus for adaptively sharpening local image content of an image |
US6292114B1 (en) * | 1999-06-10 | 2001-09-18 | Intel Corporation | Efficient memory mapping of a huffman coded list suitable for bit-serial decoding |
US6628716B1 (en) | 1999-06-29 | 2003-09-30 | Intel Corporation | Hardware efficient wavelet-based video compression scheme |
US6600833B1 (en) * | 1999-07-23 | 2003-07-29 | Intel Corporation | Methodology for color correction with noise regulation |
US6373481B1 (en) | 1999-08-25 | 2002-04-16 | Intel Corporation | Method and apparatus for automatic focusing in an image capture system using symmetric FIR filters |
US7065253B2 (en) | 1999-09-03 | 2006-06-20 | Intel Corporation | Wavelet zerotree coding of ordered bits |
US6658399B1 (en) | 1999-09-10 | 2003-12-02 | Intel Corporation | Fuzzy based thresholding technique for image segmentation |
US6625308B1 (en) | 1999-09-10 | 2003-09-23 | Intel Corporation | Fuzzy distinction based thresholding technique for image segmentation |
US6633610B2 (en) | 1999-09-27 | 2003-10-14 | Intel Corporation | Video motion estimation |
US6798901B1 (en) | 1999-10-01 | 2004-09-28 | Intel Corporation | Method of compressing a color image |
US7106910B2 (en) * | 1999-10-01 | 2006-09-12 | Intel Corporation | Color video coding scheme |
US6956903B2 (en) | 2001-05-29 | 2005-10-18 | Intel Corporation | Method and apparatus for three-dimensional wavelet transform |
US6834123B2 (en) | 2001-05-29 | 2004-12-21 | Intel Corporation | Method and apparatus for coding of wavelet transformed coefficients |
US6292144B1 (en) | 1999-10-15 | 2001-09-18 | Northwestern University | Elongate radiator conformal antenna for portable communication devices |
US6731706B1 (en) * | 1999-10-29 | 2004-05-04 | Intel Corporation | Square root raised cosine symmetric filter for mobile telecommunications |
US6813384B1 (en) | 1999-11-10 | 2004-11-02 | Intel Corporation | Indexing wavelet compressed video for efficient data handling |
US6628827B1 (en) | 1999-12-14 | 2003-09-30 | Intel Corporation | Method of upscaling a color image |
US6650688B1 (en) | 1999-12-20 | 2003-11-18 | Intel Corporation | Chip rate selectable square root raised cosine filter for mobile telecommunications |
US6757430B2 (en) | 1999-12-28 | 2004-06-29 | Intel Corporation | Image processing architecture |
US6748118B1 (en) | 2000-02-18 | 2004-06-08 | Intel Corporation | Method of quantizing signal samples of an image during same |
US6654501B1 (en) | 2000-03-06 | 2003-11-25 | Intel Corporation | Method of integrating a watermark into an image |
US6449380B1 (en) | 2000-03-06 | 2002-09-10 | Intel Corporation | Method of integrating a watermark into a compressed image |
US6738520B1 (en) * | 2000-06-19 | 2004-05-18 | Intel Corporation | Method of compressing an image |
US6775413B1 (en) | 2000-09-18 | 2004-08-10 | Intel Corporation | Techniques to implement one-dimensional compression |
CA2393689C (en) * | 2000-10-09 | 2006-03-21 | Samsung Electronics Co., Ltd. | Apparatus and method for coding/decoding tfci bits in an asynchronous cdma communication system |
US6636167B1 (en) | 2000-10-31 | 2003-10-21 | Intel Corporation | Method of generating Huffman code length information |
US6563439B1 (en) | 2000-10-31 | 2003-05-13 | Intel Corporation | Method of performing Huffman decoding |
US6690306B1 (en) | 2000-11-03 | 2004-02-10 | Intel Corporation | Method of generating a length-constrained huffman code |
US6678708B1 (en) | 2000-11-15 | 2004-01-13 | Intel Corporation | Method and apparatus for two-dimensional separable symmetric filtering |
US6751640B1 (en) | 2000-11-20 | 2004-06-15 | Intel Corporation | Method and apparatus for multiply-accumulate two-dimensional separable symmetric filtering |
US6842181B2 (en) * | 2000-11-27 | 2005-01-11 | Intel Corporation | Euler vector for color images |
US20020063899A1 (en) | 2000-11-29 | 2002-05-30 | Tinku Acharya | Imaging device connected to processor-based system using high-bandwidth bus |
US6707928B2 (en) | 2000-11-29 | 2004-03-16 | Intel Corporation | Method for block-based digital image watermarking |
US6917381B2 (en) | 2000-11-30 | 2005-07-12 | Intel Corporation | Color filter array and color interpolation algorithm |
US6662200B2 (en) | 2001-01-03 | 2003-12-09 | Intel Corporation | Multiplierless pyramid filter |
US20020122482A1 (en) | 2001-01-03 | 2002-09-05 | Kim Hyun Mun | Method of performing video encoding rate control using bit budget |
US20020118746A1 (en) | 2001-01-03 | 2002-08-29 | Kim Hyun Mun | Method of performing video encoding rate control using motion estimation |
US6681060B2 (en) | 2001-03-23 | 2004-01-20 | Intel Corporation | Image retrieval using distance measure |
US20020174154A1 (en) | 2001-03-26 | 2002-11-21 | Tinku Acharya | Two-dimensional pyramid filter architecture |
US6766286B2 (en) | 2001-03-28 | 2004-07-20 | Intel Corporation | Pyramid filter |
US6889237B2 (en) | 2001-03-30 | 2005-05-03 | Intel Corporation | Two-dimensional pyramid filter architecture |
US6725247B2 (en) * | 2001-04-30 | 2004-04-20 | Intel Corporation | Two-dimensional pyramid filter architecture |
KR20030008455A (en) * | 2001-07-18 | 2003-01-29 | 학교법인 포항공과대학교 | Sample pretreatment apparatus for mass spectrometry |
US20030021486A1 (en) | 2001-07-27 | 2003-01-30 | Tinku Acharya | Method and apparatus for image scaling |
GB2378361B (en) * | 2001-08-01 | 2004-10-13 | Roke Manor Research | Method for compression of data |
US6653953B2 (en) | 2001-08-22 | 2003-11-25 | Intel Corporation | Variable length coding packing architecture |
US6996180B2 (en) | 2001-09-05 | 2006-02-07 | Intel Corporation | Fast half-pixel motion estimation using steepest descent |
US6891889B2 (en) | 2001-09-05 | 2005-05-10 | Intel Corporation | Signal to noise ratio optimization for video compression bit-rate control |
US7136515B2 (en) | 2001-09-13 | 2006-11-14 | Intel Corporation | Method and apparatus for providing a binary fingerprint image |
US6795592B2 (en) | 2001-09-13 | 2004-09-21 | Intel Corporation | Architecture for processing fingerprint images |
US20030063782A1 (en) | 2001-09-13 | 2003-04-03 | Tinku Acharya | Method and apparatus to reduce false minutiae in a binary fingerprint image |
US6944640B2 (en) * | 2001-12-28 | 2005-09-13 | Intel Corporation | Progressive two-dimensional (2D) pyramid filter |
US20030123539A1 (en) | 2001-12-28 | 2003-07-03 | Hyung-Suk Kim | Method and apparatus for video bit-rate control |
US20030194008A1 (en) * | 2002-04-11 | 2003-10-16 | Tinku Acharya | Computationally fast and efficient DV to DVD transcoding |
US7133555B2 (en) * | 2002-08-02 | 2006-11-07 | Intel Corporation | Image color matching scheme |
US7266151B2 (en) * | 2002-09-04 | 2007-09-04 | Intel Corporation | Method and system for performing motion estimation using logarithmic search |
US20040042551A1 (en) * | 2002-09-04 | 2004-03-04 | Tinku Acharya | Motion estimation |
US7075987B2 (en) * | 2002-09-23 | 2006-07-11 | Intel Corporation | Adaptive video bit-rate control |
US20040057626A1 (en) * | 2002-09-23 | 2004-03-25 | Tinku Acharya | Motion estimation using a context adaptive search |
US20040174446A1 (en) * | 2003-02-28 | 2004-09-09 | Tinku Acharya | Four-color mosaic pattern for depth and image capture |
US20040169748A1 (en) * | 2003-02-28 | 2004-09-02 | Tinku Acharya | Sub-sampled infrared sensor for use in a digital image capture device |
US7274393B2 (en) * | 2003-02-28 | 2007-09-25 | Intel Corporation | Four-color mosaic pattern for depth and image capture |
-
2000
- 2000-10-31 US US09/704,392 patent/US6636167B1/en not_active Expired - Lifetime
-
2001
- 2001-10-09 AU AU2002215320A patent/AU2002215320A1/en not_active Abandoned
- 2001-10-09 WO PCT/US2001/031440 patent/WO2002037690A2/en not_active Application Discontinuation
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-
2003
- 2003-06-03 US US10/454,553 patent/US6987469B2/en not_active Expired - Fee Related
-
2005
- 2005-12-06 US US11/296,016 patent/US7190287B2/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0907288A2 (en) * | 1997-10-02 | 1999-04-07 | AT&T Corp. | Method and apparatus for fast image compression |
US6075470A (en) * | 1998-02-26 | 2000-06-13 | Research In Motion Limited | Block-wise adaptive statistical data compressor |
Non-Patent Citations (2)
Title |
---|
AMAR MUKHERJEE ET AL: "MARVLE: A VLSI CHIP FOR DATA COMPRESSION USING TREE-BASED CODES" IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, IEEE INC. NEW YORK, US, vol. 1, no. 2, 1 June 1993 (1993-06-01), pages 203-214, XP000390613 ISSN: 1063-8210 * |
HIRSCHBERG D S ET AL: "EFFICIENT DECODING OF PREFIX CODES" COMMUNICATIONS OF THE ASSOCIATION FOR COMPUTING MACHINERY, ASSOCIATION FOR COMPUTING MACHINERY. NEW YORK, US, vol. 33, no. 4, 1 April 1990 (1990-04-01), pages 449-458, XP000116512 ISSN: 0001-0782 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6919827B2 (en) | 2003-12-03 | 2005-07-19 | Samsung Electronics Co., Ltd. | Method and apparatus for effectively decoding Huffman code |
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KR100667293B1 (en) | 2007-01-10 |
GB2385758B (en) | 2004-06-23 |
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KR20030044066A (en) | 2003-06-02 |
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US20060087460A1 (en) | 2006-04-27 |
JP2004525537A (en) | 2004-08-19 |
GB2385758A (en) | 2003-08-27 |
DE10196847B4 (en) | 2009-10-01 |
DE10196847T1 (en) | 2003-12-04 |
US7190287B2 (en) | 2007-03-13 |
US6987469B2 (en) | 2006-01-17 |
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