[内容简介]

With clear and easy-to-understand explanations, this book covers the fundamental concepts and coding methods of signal compression, whilst still retaining technical depth and rigor. It contains a wealth of illustrations, step-by-step descriptions of algorithms, examples and practice problems, which make it an ideal textbook for senior undergraduate and graduate students, as well as a useful self-study tool for researchers and professionals. Principles of lossless compression are covered, as are various entropy coding techniques, including Huffman coding, arithmetic coding and Lempel-Ziv coding. Scalar and vector quantization and trellis coding are thoroughly explained, and a full chapter is devoted to mathematical transformations including the KLT, DCT and wavelet transforms. The workings of transform and subband/wavelet coding systems, including JPEG2000 and SBHP image compression and H.264/AVC video compression, are explained and a unique chapter is provided on set partition coding, shedding new light on SPIHT, SPECK, EZW and related methods.

[目录]

1. Motivation: the importance of compression;

2. Book overview;

3. Principles of lossless compression;

4. Entropy coding techniques;

5. Lossy compression of scalar sources;

6. Coding of sources with memory;

7. Mathematical transformations;

8. Rate control in transform coding systems;

9. Transform coding systems;

10. Set partition coding;

11. Subband/wavelet coding systems;

12. Methods for lossless compression of images;

13. Color and multi-component image and video coding;

14. Distributed source coding.