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Greedy Algorithm for Image Compression in Image Processing

by Priya Bajpai, Pankaj Kumar, Raj Gaurang Tewari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 8
Year of Publication: 2017
Authors: Priya Bajpai, Pankaj Kumar, Raj Gaurang Tewari
10.5120/ijca2017914118

Priya Bajpai, Pankaj Kumar, Raj Gaurang Tewari . Greedy Algorithm for Image Compression in Image Processing. International Journal of Computer Applications. 166, 8 ( May 2017), 34-37. DOI=10.5120/ijca2017914118

@article{ 10.5120/ijca2017914118,
author = { Priya Bajpai, Pankaj Kumar, Raj Gaurang Tewari },
title = { Greedy Algorithm for Image Compression in Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 8 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 34-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number8/27691-2017914118/ },
doi = { 10.5120/ijca2017914118 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:13:10.829777+05:30
%A Priya Bajpai
%A Pankaj Kumar
%A Raj Gaurang Tewari
%T Greedy Algorithm for Image Compression in Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 8
%P 34-37
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The image compression is the technique if image processing which is applied to reduce size of the input image. The image compression is broadly classified into lossy and lossless type of compression. The WDR algorithm is the lossy type of compression. In this paper, improvement in the WDR algorithm is been proposed and improvement is based on decision tree algorithm. The proposed algorithm is been implemented in MATLAB and it is been analyzed that compression ratio and PSNR is increased in the proposed algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

WDR PSNR Compression ratio lossy lossless

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