Compression of Images using Hierarchical Correlation of Wavelet Coefficients in Support Vector Machine Regression

Authors(1) :-Rajeswari R

Support Vector Machine (SVM) based image compression technique which utilizes the neighborhood correlation of wavelet coefficients is suggested by Jiao et. al. But the neighborhood correlation does not take care of the relationship between inter scale coefficients. Hence, in this paper, regression which utilizes the hierarchical correlation of wavelet coefficients is proposed to improve the compression. Experiments show that the proposed method performs reasonably well compared to the method proposed by Jiao et. al.

Authors and Affiliations

Rajeswari R
Department of Computer Applications, Bharathiar University, Coimbatore, Tamilnadu, India

Compression, Hierarchical Correlation, Wavelet Coefficients, Support Vector Machine Regression

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1254-1258
Manuscript Number : CSEIT1726322
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Rajeswari R, "Compression of Images using Hierarchical Correlation of Wavelet Coefficients in Support Vector Machine Regression", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1254-1258, November-December-2017. |          | BibTeX | RIS | CSV

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