cover Introduction to
Information Theory and Data Compression

Darrel Hankerson, Greg A. Harris, and Peter D. Johnson Jr.

About the book

A 5-page introductory article was adapted from the book for the January 1999 issue of Linux Journal. Transform Methods and Image Compression is available in PDF form as tmic.pdf (460k) or as PostScript in tmic.ps.gz (840k, compressed with gzip). Reprinted with permission of Linux Journal.

Excerpts from the CRC announcement

An effective blend of carefully explained theory and practical applications, this book has been written to offer access to the basics of information theory and data compression. The authors have applied their experience in teaching information theory and data compression to the careful preparation and unique organization of this text.

The topics are presented in two separate but related sections. The authors take a theoretical approach to information theory, and after the basic principles are explained, they are demonstrated in practical applications. The information theory section can provide a logical foundation for the subsequent presentation of data compression, although the data compression section can, alternatively, be read and taught as a self-contained independent unit. The authors approach data compression from a practical perspective, explaining each technique and how it can be applied. This section covers a variety of lossless compression techniques, and introduces lossy compression and general procedures for using various transforms. Although the section on data compression refers to results and proofs introduced in the information theory section, each section can be studied independently.

Features

CRC Press, A volume in Discrete Mathematics and its Applications (Kenneth H. Rosen, series ed.). ISBN: 0-8493-3985-5, 1997.

Other compression-related information

hankedr@mail.auburn.edu / September 1999