Introduction to Data Compression

All of the coverage has been updated to reflect the state of the art in
data compression, including both new algorithms and older methods for
which new uses are being found. And the downloadable software gives
you the opportunity to see firsthand how various algorithms work, to
choose and implement appropriate techniques in your own applications,
and to build your own algorithms.

Features

• Fully updated to cover the most recent lossy and lossless
  compression techniques, including wavelets, subband coding,
  predictive lossless techniques, and Huffman coding variants.
  
• Explains established and emerging standards in depth: JPEG
  2000, JPEG-LS, MPEG 2, Group 3 and 4 Faxes, JBIG 2,
  ADPCM, LPC, CELP, and MELP.
  
• Includes an new chapter providing the mathematical background
  required for understanding wavelets and subband coding.
  
• Via the companion Web site, provides source code that enables
  you to experiment with a wide range of compression techniques,
  along with sample data and updates on the latest developments
  in the compression field.
  

Table of contents

1 Introduction

2 Mathematical Preliminaries for Lossless Compression

3 Huffman Coding

4 Arithmetic Coding

5 Dictionary Techniques

6 Predictive Coding

7 Mathematical Preliminaries for Lossy Coding

8 Scalar Quantization

9 Vector Quantization

10 Differential Encoding

11 Mathematical Preliminaries for Transforms, Subbands, and
Wavelets

12 Transform Coding

13 Subband Coding

14 Wavelets

15 Analysis/Synthesis Schemes

16 Video Compression

A Probability and Random Processes

B A Brief Review of Matrix Concepts