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Performance Evaluation of Block Truncation Coding for Image Compression

Published on May 2015 by Nilesh Kumar Dewangan, Kavita Thakur
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National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ACEWRM2015 - Number 3
May 2015
Authors: Nilesh Kumar Dewangan, Kavita Thakur
eb3d6b9b-c3fb-455a-95cf-eb669a992675

Nilesh Kumar Dewangan, Kavita Thakur . Performance Evaluation of Block Truncation Coding for Image Compression. National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ACEWRM2015, 3 (May 2015), 1-5.

@article{
author = { Nilesh Kumar Dewangan, Kavita Thakur },
title = { Performance Evaluation of Block Truncation Coding for Image Compression },
journal = { National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { May 2015 },
volume = { ACEWRM2015 },
number = { 3 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/acewrm2015/number3/20909-6036/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A Nilesh Kumar Dewangan
%A Kavita Thakur
%T Performance Evaluation of Block Truncation Coding for Image Compression
%J National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ACEWRM2015
%N 3
%P 1-5
%D 2015
%I International Journal of Computer Applications
Abstract

This paper addresses the area of image compression as it is applicable to various fields of image processing. On the basis of evaluating and analyzing the current image compression techniques this paper presents Parallel Implementation of Block Truncation Coding (BTC) for Image Compression. It also includes various benefits of using image compression techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Btc Compression Ratio Compression Rate Redundancy Lossless And Lossy