Review on Image Compression Techniques

Authors(3) :-R. Vijay Kumar Reddy, K. Prudvi Raju, M. Jogendra Kumar

Image compression is the type of data compression on digital images. The main objective is to reduce redundancy of the image. In image compression, we do not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. The survey summarizes the major image compression techniques that maybe lossy and lossless, advantages, disadvantages and research possibilities. This paper attempts to give a review of run length coding, Huffman coding, DCT, fractal and Talbot effects. We discuss advantages and disadvantages of these algorithms.

Authors and Affiliations

R. Vijay Kumar Reddy
Department of Information Technology, PVPSIT, Vijayawada, Andhra Pradesh, India
K. Prudvi Raju
Department of Information Technology, PVPSIT, Vijayawada, Andhra Pradesh, India
M. Jogendra Kumar
Department of Information Technology, PVPSIT, Vijayawada, Andhra Pradesh, India

Image compression,RLE,Huffman, DCT,Fractal,

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 95-99
Manuscript Number : IJSRSET162416
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

R. Vijay Kumar Reddy, K. Prudvi Raju, M. Jogendra Kumar, " Review on Image Compression Techniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.95-99, July-August-2016.
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