"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"--
"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. Readers can enhance the software by including their own algorithms.
Preface |
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xi | |
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1 | (20) |
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1.1 What is Source Coding? |
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2 | (1) |
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1.2 Why is Compression Necessary? |
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3 | (1) |
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1.3 Image and Video Compression Techniques |
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4 | (13) |
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1.4 Video Compression Standards |
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17 | (1) |
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1.5 Organization of the Book |
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18 | (1) |
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19 | (2) |
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19 | (2) |
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21 | (42) |
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21 | (1) |
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2.2 Sampling a Continuous Image |
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22 | (15) |
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37 | (18) |
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2.4 Color Image Representation |
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55 | (5) |
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60 | (3) |
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61 | (1) |
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62 | (1) |
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63 | (36) |
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63 | (1) |
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64 | (21) |
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3.3 Karhunen-Loeve Transform |
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85 | (5) |
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3.4 Properties of Unitary Transforms |
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90 | (6) |
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96 | (3) |
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97 | (1) |
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98 | (1) |
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4 Discrete Wavelet Transform |
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99 | (34) |
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99 | (1) |
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4.2 Continuous Wavelet Transform |
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100 | (2) |
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102 | (1) |
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4.4 Discrete Wavelet Transform |
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103 | (2) |
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4.5 Efficient Implementation of ID DWT |
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105 | (3) |
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4.6 Scaling and Wavelet Filters |
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108 | (11) |
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119 | (3) |
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4.8 Energy Compaction Property |
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122 | (7) |
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4.9 Integer or Reversible Wavelet |
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129 | (1) |
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129 | (4) |
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130 | (1) |
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131 | (2) |
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133 | (28) |
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133 | (1) |
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134 | (7) |
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141 | (4) |
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145 | (6) |
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151 | (4) |
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155 | (2) |
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157 | (4) |
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158 | (1) |
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159 | (2) |
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161 | (38) |
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161 | (2) |
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163 | (20) |
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183 | (12) |
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195 | (4) |
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196 | (1) |
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197 | (2) |
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7 Image Compression in the Transform Domain |
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199 | (60) |
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199 | (1) |
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7.2 Basic Idea Behind Transform Coding |
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199 | (12) |
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7.3 Coding Gain of a Transform Coder |
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211 | (2) |
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213 | (14) |
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7.5 Compression of Color Images |
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227 | (7) |
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234 | (13) |
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7.7 Variable Block Size DCT Coding |
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247 | (7) |
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254 | (5) |
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255 | (2) |
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257 | (2) |
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8 Image Compression in the Wavelet Domain |
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259 | (42) |
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259 | (1) |
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8.2 Design of a DWT Coder |
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259 | (18) |
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277 | (5) |
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282 | (15) |
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297 | (1) |
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298 | (3) |
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299 | (1) |
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300 | (1) |
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9 Basics of Video Compression |
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301 | (58) |
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301 | (4) |
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305 | (46) |
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9.3 Stereo Image Compression |
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351 | (4) |
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355 | (4) |
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356 | (1) |
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357 | (2) |
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10 Video Compression Standards |
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359 | (64) |
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359 | (1) |
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10.2 MPEG-1 and MPEG-2 Standards |
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360 | (33) |
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393 | (14) |
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407 | (11) |
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418 | (5) |
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419 | (1) |
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420 | (3) |
Index |
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423 | |
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.