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Cover image for Still image and video compression with MATLAB
Title:
Still image and video compression with MATLAB
Personal Author:
Publication Information:
Hoboken, NJ. : Wiley, 2011.
Physical Description:
xiii, 428 p. : ill. ; 25 cm.
ISBN:
9780470484166
Abstract:
"This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to illustrate the concepts. The book includes complementary software written in MATLAB SIMULINK to give readers hands-on experience in using and applying various video compression methods. Readers can enhance the software by including their own algorithms"-- Provided by publisher.

"This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to illustrate the concepts. The book includes complementary software written in MATLAB SIMULINK to give readers hands-on experience in using and applying various video compression methods"-- Provided by publisher.
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30000010237066 TA1638 T48 2011 Open Access Book Book
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Summary

Summary

This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to illustrate the concepts.


Author Notes

K.S. Thyagarajan is Chief Scientist at Micro USA, Inc., where he has developed an extensive suite of image processing, detection, and classification algorithms for the detection of very low contrast targets underwater in littoral waters and open oceans. He is an Emeritus Professor in the Department of Electrical and Computer Engineering at San Diego State University, and has extensive academic and industrial experience in researching and developing video compression systems. Dr. Thyagarajan's expertise lies in signal, image processing, image and video compression, pattern recognition, and communications. He holds several patents in video compression.


Table of Contents

Prefacep. xi
1 Introductionp. 1
1.1 What is Source Coding?p. 2
1.2 Why is Compression Necessary?p. 3
1.3 Image and Video Compression Techniquesp. 4
1.4 Video Compression Standardsp. 17
1.5 Organization of the Bookp. 18
1.6 Summaryp. 19
Referencesp. 19
2 Image Acquisitionp. 21
2.1 Introductionp. 21
2.2 Sampling a Continuous Imagep. 22
2.3 Image Quantizationp. 37
2.4 Color Image Representationp. 55
2.5 Summaryp. 60
Referencesp. 61
Problemsp. 62
3 Image Transformsp. 63
3.1 Introductionp. 63
3.2 Unitary Transformsp. 64
3.3 Karhunen-Loève Transformp. 85
3.4 Properties of Unitary Transformsp. 90
3.5 Summaryp. 96
Referencesp. 97
Problemsp. 98
4 Discrete Wavelet Transformp. 99
4.1 Introductionp. 99
4.2 Continuous Wavelet Transformp. 100
4.3 Wavelet Seriesp. 102
4.4 Discrete Wavelet Transformp. 103
4.5 Efficient Implementation of 1D DWTp. 105
4.6 Scaling and Wavelet Filtersp. 108
4.7 Two-Dimensional DWTp. 119
4.8 Energy Compaction Propertyp. 122
4.9 Integer or Reversible Waveletp. 129
4.10 Summaryp. 129
Referencesp. 130
Problemsp. 131
5 Lossless Codingp. 133
5.1 Introductionp. 133
5.2 Information Theoryp. 134
5.3 Huffman Codingp. 141
5.4 Arithmetic Codingp. 145
5.5 Golomb-Rice Codingp. 151
5.6 Run-Length Codingp. 155
5.7 Summaryp. 157
Referencesp. 158
Problemsp. 159
6 Predictive Codingp. 161
6.1 Introductionp. 161
6.2 Design of a DPCMp. 163
6.3 Adaptive DPCMp. 183
6.4 Summaryp. 195
Referencesp. 196
Problemsp. 197
7 Image Compression in the Transform Domainp. 199
7.1 Introductionp. 199
7.2 Basic Idea Behind Transform Codingp. 199
7.3 Coding Gain of a Transform Coderp. 211
7.4 JPEG Compressionp. 213
7.5 Compression of Color Imagesp. 227
7.6 Blocking Artifactp. 234
7.7 Variable Block Size DCT Codingp. 247
7.8 Summaryp. 254
Referencesp. 255
Problemsp. 257
8 Image Compression in the Wavelet Domainp. 259
8.1 Introductionp. 259
8.2 Design of a DWT Coderp. 259
8.3 Zero-Tree Codingp. 277
8.4 JPEG2000p. 282
8.5 Digital Cinemap. 297
8.6 Summaryp. 298
Referencesp. 299
Problemsp. 300
9 Basics of Video Compressionp. 301
9.1 Introductionp. 301
9.2 Video Codingp. 305
9.3 Stereo Image Compressionp. 351
9.4 Summaryp. 355
Referencesp. 356
Problemsp. 357
10 Video Compression Standardsp. 359
10.1 Introductionp. 359
10.2 MPEG-1 and MPEG-2 Standardsp. 360
10.3 MPEG-4p. 393
10.4 H.264p. 407
10.5 Summaryp. 418
Referencesp. 419
Problemsp. 420
Indexp. 423
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