A Concise Introduction to Data Compression

  • David Salomon

Part of the Undergraduate Topics in Computer Science book series (UTICS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Basic Concepts

    1. Front Matter
      Pages 1-19
    2. Pages 61-91
    3. Pages 93-120
  3. Advanced Techniques

    1. Front Matter
      Pages 122-122
    2. Pages 123-142
    3. Pages 143-226
    4. Pages 227-246
    5. Pages 247-264
  4. Back Matter
    Pages 265-311

About this book

Introduction

Compressing data is an option naturally selected when faced with problems of high costs or restricted space. Written by a renowned expert in the field, this book offers readers a succinct, reader-friendly foundation to the chief approaches, methods and techniques currently employed in the field of data compression.

Part I presents the basic approaches to data compression and describes a few popular techniques and methods commonly used to compress data. The reader discovers essential concepts, such as variable-length and prefix codes, statistical distributions and run-length encoding. Part II then concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and the Burrows-Wheeler transform.

Features:

• Clear overview of the principles underlying this field

• Outlines the essentials of the various approaches to compressing data

• Contains many learning aids such as: chapter introductions and summaries, chapter-end exercises, comprehensive glossary, etc.

• Provides several examples of important compression algorithms

• Offers a supplementary author-maintained website, with errata and auxiliary material – www.davidsalomon.name/DCugAdvertis/DCug.html

• An ideal introductory volume to David Salomon’s fourth edition of Data Compression: The Complete Reference

Complete and clear, this book is the perfect resource for undergraduates in computer science and requires a minimum of mathematics. It is also ideal for readers with a basic knowledge of computer science wanting to learn about data compression.

David Salomon is a professor emeritus of Computer Science at California State University, Northridge. He has authored numerous articles and books, including Coding for Data and Computer Communications, Guide to Data Compression Methods, Data Privacy and Security, Computer Graphics and Geometric Modeling, Foundations of Computer Security, Transformations and Projections in Computer Graphics, and Variable-length Codes for Data Compression.

Keywords

Coding and information theory Image, audio and text compression algorithms communication computer science computer security data compression privacy signal and image processing

Authors and affiliations

  • David Salomon
    • 1
  1. 1.Computer Science DepartmentCalifornia State UniversityNorthridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-072-8
  • Copyright Information Springer-Verlag London 2008
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84800-071-1
  • Online ISBN 978-1-84800-072-8
  • Series Print ISSN 1863-7310
  • About this book
Industry Sectors
Electronics
Telecommunications
Aerospace
Pharma