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Validation of Image Compression Algorithms using Neural Network

by Nikhilesh Joshi, Tanuja K. Sarode
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 12
Year of Publication: 2018
Authors: Nikhilesh Joshi, Tanuja K. Sarode
10.5120/ijca2018916127

Nikhilesh Joshi, Tanuja K. Sarode . Validation of Image Compression Algorithms using Neural Network. International Journal of Computer Applications. 179, 12 ( Jan 2018), 1-8. DOI=10.5120/ijca2018916127

@article{ 10.5120/ijca2018916127,
author = { Nikhilesh Joshi, Tanuja K. Sarode },
title = { Validation of Image Compression Algorithms using Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2018 },
volume = { 179 },
number = { 12 },
month = { Jan },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number12/28849-2018916127/ },
doi = { 10.5120/ijca2018916127 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:55:07.784250+05:30
%A Nikhilesh Joshi
%A Tanuja K. Sarode
%T Validation of Image Compression Algorithms using Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 12
%P 1-8
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We live in Digital Era where information is generated at rapid space. Images constitute a major part of information. It becomes essential to use image compression techniques in order to reduce storage space and transmission bandwidth. Image compression algorithm can be validated using Neural Network. In this paper various methods of Image compression such as BTC, DCT, DWT are optimized and Validate using neural network. This is achieved by comparing methods based on set of parameters. . The resultant compression metrics are calculated and visual quality of image is analyzed. Neural network implementation is done based on two different methods desired matrix and entropy based method. Experimental analysis shows 60 % reduction in storage space requirement and effective optimization using different methodology.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Compression Entropy Block Truncation Coding Discrete Cosine Transform(DCT) Discrete wavelet tranform(DWT Image Quality Metrics Neural Network Back propogation.

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