Theoretic Study of Various Image Compression Techniques: A Survey

Authors

  • Singh R Dept of Electronics & Communication Engineering, Amity University, Lucknow, India
  • Agarwal S Dept of Electronics & Communication Engineering, Amity University, Lucknow, India

Keywords:

Image Compression, Lossy Compression, Lossless Compression, Images

Abstract

Image compression is widely used term in digital image processing. Image compression main aim is to reduce the redundant data and retaining the important data keeping the image quality as good as possible. The compressed image is represented by less number of bits compared to original. In this paper we review and discuss about the principle of image compression, need of image compression, advantages and disadvantages of image compression, classes of compression and various algorithm of image compression. At last we define what qualities image compression algorithm should contain follows with the discussion and conclusion.

References

A. Jain, ―Fundamentals of Digital Image Processing‖ Prentice-Hall, 1989.

K. Rao and J. Hwang, ―Techniques and Standards for Image, Video and Audio Coding, Prentice-Hall, 1996

W. Penebaker and J. Mitchell, ―JPEG Still Image Data Compression Standard, Van Nostrand, 1993.

Rafael C. Gonzalez, Richard Eugene; “Digital image processing”, Edition 3, 2008, page 466.

Alan Conrad Bovik; “Handbook of image and vide processing”, Edition 2 1005, page 673.

Keshab K. Parhi, Takao Nishitan; “Digital Signal processing for multimedia systems”, ISBN 0-8247-1924- 7, United States of America, page 22.

Majid Rabbani, Paul W. Jones; “Digital image compression techniques”; ISBN 0-8194—0648-1, Washington, page

Anamika Maurya, Rajinder Tiwari “Theoretic Study of Image Fusion Techniques – A Survey” published in International Journal of Computer Sciences and Engineering Volume 2, Issue 6, June 2014 pp: 43– 49 with ISSN: 2347-2693

Subramanya A. “Image Compression Technique,” potentials IEEE, Vol. 20, issue 1, pp19-23, Feb-March 2001.

Jeffrey M. Gilbert, Robert W. Brodersen; “A Lossless 2- D Image Compression Technique for Synthetic Discrete- Tone Images”. University of California at Berkeley

Downloads

Published

2015-05-30

How to Cite

[1]
R. Singh and S. Agarwal, “Theoretic Study of Various Image Compression Techniques: A Survey”, Int. J. Comp. Sci. Eng., vol. 3, no. 5, pp. 341–344, May 2015.

Issue

Section

Survey Article