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.
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.
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.
Inhaltsangabe
Preface. 1 Introduction. 1.1 What is Source Coding? 1.2 Why is Compression Necessary? 1.3 Image and Video Compression Techniques. 1.4 Video Compression Standards. 1.5 Organization of the Book. 1.6 Summary. References. 2 Image Acquisition. 2.1 Introduction. 2.2 Sampling a Continuous Image. 2.3 Image Quantization. 2.4 Color Image Representation. 2.5 Summary. References. Problems. 3 Image Transforms. 3.1 Introduction. 3.2 Unitary Transforms. 3.3 Karhunen-Loeve Transform. 3.4 Properties of Unitary Transforms. 3.5 Summary. References. Problems. 4 Discrete Wavelet Transform. 4.1 Introduction. 4.2 Continuous Wavelet Transform. 4.3 Wavelet Series. 4.4 Discrete Wavelet Transform. 4.5 Efficient Implementation of 1D DWT. 4.6 Scaling and Wavelet Filters. 4.7 Two-Dimensional DWT. 4.8 Energy Compaction Property. 4.9 Integer or Reversible Wavelet. 4.10 Summary. References. Problems. 5 Lossless Coding. 5.1 Introduction. 5.2 Information Theory. 5.3 Huffman Coding. 5.4 Arithmetic Coding. 5.5 Golomb-Rice Coding. 5.6 Run-Length Coding. 5.7 Summary. References. Problems. 6 Predictive Coding. 6.1 Introduction. 6.2 Design of a DPCM. 6.3 Adaptive DPCM. 6.4 Summary. References. Problems. 7 Image Compression in the Transform Domain. 7.1 Introduction. 7.2 Basic Idea Behind Transform Coding. 7.3 Coding Gain of a Transform Coder. 7.4 JPEG Compression. 7.5 Compression of Color Images. 7.6 Blocking Artifact. 7.7 Variable Block Size DCT Coding. 7.8 Summary. References. Problems. 8 Image Compression in the Wavelet Domain. 8.1 Introduction. 8.2 Design of a DWT Coder. 8.3 Zero-Tree Coding. 8.4 JPEG2000. 8.5 Digital Cinema. 8.6 Summary. References. Problems. 9 Basics of Video Compression. 9.1 Introduction. 9.2 Video Coding. 9.3 Stereo Image Compression. 9.4 Summary. References. Problems. 10 Video Compression Standards. 10.1 Introduction. 10.2 MPEG-1 and MPEG-2 Standards. 10.3 MPEG-4. 10.4 H.264. 10.5 Summary. References. Problems. Index.
