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Simulation and Comparison of Various Lossless Data Compression Techniques based on Compression Ratio and Processing Delay

by Dhananjay Patel, Vinayak Bhogan, Alan Janson
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 14
Year of Publication: 2013
Authors: Dhananjay Patel, Vinayak Bhogan, Alan Janson
10.5120/14186-2423

Dhananjay Patel, Vinayak Bhogan, Alan Janson . Simulation and Comparison of Various Lossless Data Compression Techniques based on Compression Ratio and Processing Delay. International Journal of Computer Applications. 81, 14 ( November 2013), 31-35. DOI=10.5120/14186-2423

@article{ 10.5120/14186-2423,
author = { Dhananjay Patel, Vinayak Bhogan, Alan Janson },
title = { Simulation and Comparison of Various Lossless Data Compression Techniques based on Compression Ratio and Processing Delay },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 14 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number14/14186-2423/ },
doi = { 10.5120/14186-2423 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:04.621397+05:30
%A Dhananjay Patel
%A Vinayak Bhogan
%A Alan Janson
%T Simulation and Comparison of Various Lossless Data Compression Techniques based on Compression Ratio and Processing Delay
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 14
%P 31-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With increasing need to store data in lesser memory several lossless compression techniques are developed. This paper intends to provide the performance analysis of lossless compression techniques over various parameters like compression ratio, delay in processing, size of image etc. It provides the relevant data about variations in them as well as to describe the possible causes for it. It describes the basic lossless techniques as Huffman encoding, run length encoding, arithmetic encoding and Lempel-ziv-welch encoding briefly with their effectiveness under varying parameters. Considering the simulation results of grayscale image compression achieved in MATLAB software, it also focused to propose the possible reasons behind differences in comparison.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Compression Ratio Probability of Zero and Processing Delay.

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