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SVD based Robust Digital Image Watermarking using Discrete Wavelet Transform

by Satendra Kumar, Ashwini Kumar Saini, Papendra Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 10
Year of Publication: 2012
Authors: Satendra Kumar, Ashwini Kumar Saini, Papendra Kumar
10.5120/6814-9168

Satendra Kumar, Ashwini Kumar Saini, Papendra Kumar . SVD based Robust Digital Image Watermarking using Discrete Wavelet Transform. International Journal of Computer Applications. 45, 10 ( May 2012), 7-11. DOI=10.5120/6814-9168

@article{ 10.5120/6814-9168,
author = { Satendra Kumar, Ashwini Kumar Saini, Papendra Kumar },
title = { SVD based Robust Digital Image Watermarking using Discrete Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 10 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number10/6814-9168/ },
doi = { 10.5120/6814-9168 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:37:15.321787+05:30
%A Satendra Kumar
%A Ashwini Kumar Saini
%A Papendra Kumar
%T SVD based Robust Digital Image Watermarking using Discrete Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 10
%P 7-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the popularity of digital media is growing, and world is becoming smaller, all due to the internet connectivity and WWW phenomena, the copyright protection of intellectual properties have become a necessity for prevention of illegal copying and content integrity verification. So, to achieve these requirements, a hybrid digital image watermarking scheme based on discrete wavelet transform (DWT) and singular value decomposition (SVD) proposed approach in this paper. To increase and control the strength of the watermark, a scale factor value is used. Our approach, the watermark is not embedded directly on the wavelet coef?cients but rather than on the elements of singular values of the cover image with modifying three level Discrete wavelet transform (DWT) HL and LH sub bands. Experimental results are provided in terms of Peak signal to noise ratio (PSNR) and Normalized cross correlation (NCC) to demonstrate the effectiveness of the proposed algorithm against various attacks.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Watermarking Wavelet Transform Singular Value Decomposition (svd) Peak Signal To Noise Ratio (psnr) Normalized Cross Correlation (ncc)

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