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Reseach Article

SVD based Image Watermarking Scheme

Published on None 2010 by Deepa Mathew K
Evolutionary Computation for Optimization Techniques
Foundation of Computer Science USA
ECOT - Number 1
None 2010
Authors: Deepa Mathew K
67cee129-0f01-4713-b287-c1c2929e114a

Deepa Mathew K . SVD based Image Watermarking Scheme. Evolutionary Computation for Optimization Techniques. ECOT, 1 (None 2010), 21-24.

@article{
author = { Deepa Mathew K },
title = { SVD based Image Watermarking Scheme },
journal = { Evolutionary Computation for Optimization Techniques },
issue_date = { None 2010 },
volume = { ECOT },
number = { 1 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /specialissues/ecot/number1/1531-134/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Evolutionary Computation for Optimization Techniques
%A Deepa Mathew K
%T SVD based Image Watermarking Scheme
%J Evolutionary Computation for Optimization Techniques
%@ 0975-8887
%V ECOT
%N 1
%P 21-24
%D 2010
%I International Journal of Computer Applications
Abstract

To embed watermark is a way to increase the robustness of the image. In this paper the singular value decomposition (SVD) based image watermarking scheme is proposed. The output result of SVD is more secure and robust. In the proposed scheme D and U components are used for embedding watermark. Unlike other transforms which uses fixed orthogonal bases, SVD uses non fixed orthogonal bases. The result of SVD gives good accuracy, good robustness and good imperceptibility in resolving rightful ownership of watermarked image. With the increased use of SVD watermarking scheme, the watermarking technology in the transform domain has been greatly developed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Watermark Singular value decomposition (SVD) extracting embedding