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Theoretic Study of Various Image Compression Techniques: A Survey

Rashmi Singh1 , Sugandha Agarwal2

Section:Survey Paper, Product Type: Journal Paper
Volume-3 , Issue-5 , Page no. 341-344, May-2015

Online published on May 30, 2015

Copyright © Rashmi Singh , Sugandha Agarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Rashmi Singh , Sugandha Agarwal, “Theoretic Study of Various Image Compression Techniques: A Survey,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.341-344, 2015.

MLA Style Citation: Rashmi Singh , Sugandha Agarwal "Theoretic Study of Various Image Compression Techniques: A Survey." International Journal of Computer Sciences and Engineering 3.5 (2015): 341-344.

APA Style Citation: Rashmi Singh , Sugandha Agarwal, (2015). Theoretic Study of Various Image Compression Techniques: A Survey. International Journal of Computer Sciences and Engineering, 3(5), 341-344.

BibTex Style Citation:
@article{Singh_2015,
author = {Rashmi Singh , Sugandha Agarwal},
title = {Theoretic Study of Various Image Compression Techniques: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2015},
volume = {3},
Issue = {5},
month = {5},
year = {2015},
issn = {2347-2693},
pages = {341-344},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=530},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=530
TI - Theoretic Study of Various Image Compression Techniques: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Rashmi Singh , Sugandha Agarwal
PY - 2015
DA - 2015/05/30
PB - IJCSE, Indore, INDIA
SP - 341-344
IS - 5
VL - 3
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

Image Compression; Lossy Compression; Lossless Compression; Images

References

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[2] K. Rao and J. Hwang, ―Techniques and Standards for Image, Video and Audio Coding, Prentice-Hall, 1996
[3] W. Penebaker and J. Mitchell, ―JPEG Still Image Data Compression Standard, Van Nostrand, 1993.
[4] Rafael C. Gonzalez, Richard Eugene; “Digital image processing”, Edition 3, 2008, page 466.
[5] Alan Conrad Bovik; “Handbook of image and vide processing”, Edition 2 1005, page 673.
[6] Keshab K. Parhi, Takao Nishitan; “Digital Signal processing for multimedia systems”, ISBN 0-8247-1924- 7, United States of America, page 22.
[7] Majid Rabbani, Paul W. Jones; “Digital image compression techniques”; ISBN 0-8194—0648-1, Washington, page
[8] 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
[9] Subramanya A. “Image Compression Technique,” potentials IEEE, Vol. 20, issue 1, pp19-23, Feb-March 2001.
[10] Jeffrey M. Gilbert, Robert W. Brodersen; “A Lossless 2- D Image Compression Technique for Synthetic Discrete- Tone Images”. University of California at Berkeley