CH 1: Introduction / CH 2: Lossless Compression / CH 3: Huffman Coding / CH 4: Arithmetic Coding / CH 5: Dictionary Techniques / CH 6: Context Based Compression / CH 7: Lossless Image Compression / CH 8: Lossy Coding / CH 9: Scalar Quantization / CH 10: Vector Quantization / CH 11: Differential Encoding / CH 12: Transforms, Subbands, and Wavelets / CH 13: Transform Coding / CH 14: Subband Coding / CH 15: Wavelet-Based Compression / CH 16: Audio Coding / CH 17: Analysis/Synthesis and Analysis by Synthesis Schemes / CH 18: Video Compression / APPENDIX A: Probability and Random Processes / APPENDIX B: A Brief Review of Matrix Concepts / APPENDIX C: The Root Lattices / Bibliography
Each edition of Introduction to Data Compression has widely been considered the best introduction and reference text on the art and science of data compression, and the third edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The third edition includes all the cutting edge updates the reader will need during the work day and in class.
Khalid Sayood provides an extensive introduction to the theory underlying today’s compression techniques with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression Introduction to Data Compression, includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book.
New content added on the topic of audio compression including a description of the mp3 algorithm
New video coding standard and new facsimile standard explained
Completely explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, Group 3 and 4 faxes, JBIG 2, ADPCM, LPC, CELP, and MELP
Source code provided via companion web site that gives readers the opportunity to build their own algorithms, choose and implement techniques in their own applications
Professionals, software and hardware engineers, students; digital libraries, multimedia
- No. of pages:
- © Morgan Kaufmann 2006
- 1st December 2005
- Morgan Kaufmann
- eBook ISBN:
- Hardcover ISBN:
Khalid Sayood received his BS and MS in Electrical Engineering from the University of Rochester in 1977 and 1979, respectively, and his Ph.D. in Electrical Engineering from Texas A&M University in 1982. In 1982, he joined the University of Nebraska, where he is the Heins Professor of Engineering. His research interests include data compression, joint source channel coding, and bioinformatics.
Department of Electrical and Computer Engineering, University of Nebraska, Lincoln, Nebraska, USA