Introduction to Data Compression

Introduction to Data Compression

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Description

Introduction to Data Compression, Third Edition, is a concise and comprehensive guide to data compression. This book introduces the reader 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, it covers lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. It includes all the cutting edge updates the reader will need during the work day and in class.

This edition adds new content on the topic of audio compression including a description of the mp3 algorithm, along with a new video coding standard and new facsimile standard explained. It explains in detail 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 is provided via a companion web site that gives readers the opportunity to build their own algorithms, choose and implement techniques in their own applications.

This book will appeal to professionals, software and hardware engineers, students, and to anyone interested in digital libraries and multimedia.
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Product details

  • Hardback | 704 pages
  • 193 x 236.2 x 35.6mm | 1,519.55g
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • 3rd edition
  • Approx. 300 illustrations; Illustrations, unspecified
  • 012620862X
  • 9780126208627
  • 1,528,312

Table of contents

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
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About Khalid Sayood

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.
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Rating details

19 ratings
3.57 out of 5 stars
5 16% (3)
4 47% (9)
3 21% (4)
2 11% (2)
1 5% (1)
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