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Reseach Article

Effect of Meta-Heuristics Swarm based Algorithm on DCT and DWT for Best Compressed Image

Published on July 2013 by Harsha D. Zope, Jasvinder Pal Singh
International Conference and workshop on Advanced Computing 2013
Foundation of Computer Science USA
ICWAC - Number 4
July 2013
Authors: Harsha D. Zope, Jasvinder Pal Singh
2dcba1cc-b604-409d-a378-a639cdc25277

Harsha D. Zope, Jasvinder Pal Singh . Effect of Meta-Heuristics Swarm based Algorithm on DCT and DWT for Best Compressed Image. International Conference and workshop on Advanced Computing 2013. ICWAC, 4 (July 2013), 0-0.

@article{
author = { Harsha D. Zope, Jasvinder Pal Singh },
title = { Effect of Meta-Heuristics Swarm based Algorithm on DCT and DWT for Best Compressed Image },
journal = { International Conference and workshop on Advanced Computing 2013 },
issue_date = { July 2013 },
volume = { ICWAC },
number = { 4 },
month = { July },
year = { 2013 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/icwac/number4/499-1308/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and workshop on Advanced Computing 2013
%A Harsha D. Zope
%A Jasvinder Pal Singh
%T Effect of Meta-Heuristics Swarm based Algorithm on DCT and DWT for Best Compressed Image
%J International Conference and workshop on Advanced Computing 2013
%@ 2249-0868
%V ICWAC
%N 4
%P 0-0
%D 2013
%I International Journal of Applied Information Systems
Abstract

The objective of image compression is to reduce irrelevance and redundancy of the image data in order to to store or transmit data in efficient form. DCT and DWT are used as the compression techniques. In discrete wavelet transform, each level is calculated by passing only approximation coefficients through low and high pass quadrature mirror filters. The discrete cosine transform (DCT) helps to separate the image into parts (or spectral sub-bands) of differing importance (with respect to the image's visual quality)In this paper , a meta-heuristic swarm based algorithm (ABC) is used to improve the quality of compressed image. Relative data redundancy and many parameters are also studied.

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Index Terms

Computer Science
Information Sciences

Keywords

Discrete Cosine Transform Discrete Wavelet Transform Wavelet packet decomposition Artificial Bee Colony Algorithm Optimization algorithms