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An Evolved Wavelet Library Based on Genetic Algorithm
Joint Authors
Vaithiyanathan, D.
Seshasayanan, R.
Kunaraj, K.
Keerthiga, J.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-27
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
As the size of the images being captured increases, there is a need for a robust algorithm for image compression which satiates the bandwidth limitation of the transmitted channels and preserves the image resolution without considerable loss in the image quality.
Many conventional image compression algorithms use wavelet transform which can significantly reduce the number of bits needed to represent a pixel and the process of quantization and thresholding further increases the compression.
In this paper the authors evolve two sets of wavelet filter coefficients using genetic algorithm (GA), one for the whole image portion except the edge areas and the other for the portions near the edges in the image (i.e., global and local filters).
Images are initially separated into several groups based on their frequency content, edges, and textures and the wavelet filter coefficients are evolved separately for each group.
As there is a possibility of the GA settling in local maximum, we introduce a new shuffling operator to prevent the GA from this effect.
The GA used to evolve filter coefficients primarily focuses on maximizing the peak signal to noise ratio (PSNR).
The evolved filter coefficients by the proposed method outperform the existing methods by a 0.31 dB improvement in the average PSNR and a 0.39 dB improvement in the maximum PSNR.
American Psychological Association (APA)
Vaithiyanathan, D.& Seshasayanan, R.& Kunaraj, K.& Keerthiga, J.. 2014. An Evolved Wavelet Library Based on Genetic Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1049833
Modern Language Association (MLA)
Vaithiyanathan, D.…[et al.]. An Evolved Wavelet Library Based on Genetic Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1049833
American Medical Association (AMA)
Vaithiyanathan, D.& Seshasayanan, R.& Kunaraj, K.& Keerthiga, J.. An Evolved Wavelet Library Based on Genetic Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1049833
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049833