Introduction to Data Compression, 4th Edition Front Cover

Introduction to Data Compression, 4th Edition

  • Length: 768 pages
  • Edition: 4
  • Publisher:
  • Publication Date: 2012-10-30
  • ISBN-10: 0124157963
  • ISBN-13: 9780124157965
  • Sales Rank: #1217443 (See Top 100 Books)

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 theĀ fourth edition continues in this tradition. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. The fourth 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 to include a more detailed description of the JPEG 2000 standard
  • New content includes speech coding for internet applications
  • Explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, and iLBC
  • 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

Table of Contents

Chapter 1 Introduction
Chapter 2 Mathematical Preliminaries for Lossless Compression
Chapter 3 Huffman Coding
Chapter 4 Arithmetic Coding
Chapter 5 Dictionary Techniques
Chapter 6 Context-Based Compression
Chapter 7 Lossless Image Compression
Chapter 8 Mathematical Preliminaries for Lossy Coding
Chapter 9 Scalar Quantization
Chapter 10 Vector Quantization
Chapter 11 Differential Encoding
Chapter 12 Mathematical Preliminaries for Transforms, Subbands, and Wavelets
Chapter 13 Transform Coding
Chapter 14 Subband Coding
Chapter 15 Wavelets
Chapter 16 Wavelet-Based Image Compression
Chapter 17 Audio Coding
Chapter 18 Analysis/Synthesis and Analysis by Synthesis Schemes
Chapter 19 Video Compression

A Probability and Random Processes
B Brief Review of Matrix Concepts
C The Root Lattices

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