15. Introduction to Image Compression

  1. Tinku Acharya and
  2. Ajoy K. Ray

Published Online: 20 SEP 2005

DOI: 10.1002/0471745790.ch15

Image Processing: Principles and Applications

Image Processing: Principles and Applications

How to Cite

Acharya, T. and Ray, A. K. (2005) Introduction to Image Compression, in Image Processing: Principles and Applications, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471745790.ch15

Publication History

  1. Published Online: 20 SEP 2005
  2. Published Print: 19 AUG 2005

ISBN Information

Print ISBN: 9780471719984

Online ISBN: 9780471745792

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Keywords:

  • information theory;
  • compression;
  • decompression;
  • CODEC;
  • image compression;
  • source coding algorithms;
  • Huffman coding;
  • arithmetic coding;
  • run-length coding

Summary

Image compression plays an important role for image storage and transmission. Demand for communication of multimedia data through the telecommunications network and accessing the multimedia data through Internet is growing explosively. Image data comprise a significant portion of the multimedia data and they occupy the lion's share of the communication bandwidth for multimedia communication. As a result, development of efficient image compression “image compression” techniques continues to be an important challenge to us, both in academia and in industry. We devoted chapter 15 on fundamentals of image compression. In this chapter, we introduced the information theoretic foundations behind the data and image compression techniques, some source coding algorithms relevant to image compression standards and the principles behind image compression.