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Image Compression via Modified TiBS Algorithm to Achieve High Compression Rate

by Pravin B. Pokle, Narendra G. Bawane
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 13
Year of Publication: 2013
Authors: Pravin B. Pokle, Narendra G. Bawane
10.5120/13585-1346

Pravin B. Pokle, Narendra G. Bawane . Image Compression via Modified TiBS Algorithm to Achieve High Compression Rate. International Journal of Computer Applications. 78, 13 ( September 2013), 32-37. DOI=10.5120/13585-1346

@article{ 10.5120/13585-1346,
author = { Pravin B. Pokle, Narendra G. Bawane },
title = { Image Compression via Modified TiBS Algorithm to Achieve High Compression Rate },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 13 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number13/13585-1346/ },
doi = { 10.5120/13585-1346 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:30.351616+05:30
%A Pravin B. Pokle
%A Narendra G. Bawane
%T Image Compression via Modified TiBS Algorithm to Achieve High Compression Rate
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 13
%P 32-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent times the integration of video, audio and data in telecommunication devices has revolutionized communication world. It has proven to be useful to almost every industry: the corporate world, entertainment industry, multimedia, education and even at home. The major problems associated with these applications are the high data rates, high bandwidth and large memory required for storage and computing resources. Even with faster internet speed, throughput rates and advanced network infrastructure, there are major bottlenecks to transfer such high volume data through the network due to bandwidth limitations. There is a need to develop compression techniques in order to make the best use of available bandwidth. Thus storage and compression of these high resolution images plays a vital role in such applications to conserve the energy and processor's computational resources. This paper presents a lightweight modified TiBS algorithm for image compression and storage. The proposed modified compression method operates on a 3x3 block and is based on pixel removal technique. The results shows that proposed method provides a maximum compression of 33% which is more than that achievable by standard TiBS algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Image compression DWT DCT TiBS (tiny block-size encoding) Huffman RLE.

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