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

Harsha D. Zope, Jasvinder Pal Singh Published in Algorithm

IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
Series ICWAC Number 4
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  1. Harsha D Zope and Jasvinder Pal Singh. Article: Effect of Meta-Heuristics Swarm based Algorithm on DCT and DWT for Best Compressed Image. IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013 ICWAC(4):1-7, July 2013. BibTeX

    	author = "Harsha D. Zope and Jasvinder Pal Singh",
    	title = "Article: Effect of Meta-Heuristics Swarm based Algorithm on DCT and DWT for Best Compressed Image",
    	journal = "IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013",
    	year = 2013,
    	volume = "ICWAC",
    	number = 4,
    	pages = "1-7",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"


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