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Reseach Article

A Novel Semi-Blind Reference Color Image Watermarking using DWT-DCT-SVD

by Satyanarayana Murty.p, Hima Bindu. R, Rajesh Kumar.p
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 15
Year of Publication: 2012
Authors: Satyanarayana Murty.p, Hima Bindu. R, Rajesh Kumar.p
10.5120/8498-2446

Satyanarayana Murty.p, Hima Bindu. R, Rajesh Kumar.p . A Novel Semi-Blind Reference Color Image Watermarking using DWT-DCT-SVD. International Journal of Computer Applications. 53, 15 ( September 2012), 22-28. DOI=10.5120/8498-2446

@article{ 10.5120/8498-2446,
author = { Satyanarayana Murty.p, Hima Bindu. R, Rajesh Kumar.p },
title = { A Novel Semi-Blind Reference Color Image Watermarking using DWT-DCT-SVD },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 15 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number15/8498-2446/ },
doi = { 10.5120/8498-2446 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:11.295498+05:30
%A Satyanarayana Murty.p
%A Hima Bindu. R
%A Rajesh Kumar.p
%T A Novel Semi-Blind Reference Color Image Watermarking using DWT-DCT-SVD
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 15
%P 22-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we propose three robust and semi-blind digital color image watermarking algorithms. These algorithms are based on hybrid transforms using the combination of Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD). The original color image is divided to number of blocks. We calculate the spatial frequency of each block. We kept a threshold on this spatial frequency and from this we form a reference image. In the first algorithm we apply DCT on reference image. The singular values of the applied DCT coefficients and singular values of watermark are modified. In the second algorithm we apply DWT on reference image. Then the reference image divided into four sub bands called LL, LH, HL and HH. The singular values of LL band and singular values of watermark are modified. In third algorithm we apply DWT on reference image. Then the reference image divided into four sub bands called LL, LH, HL and HH. We apply DCT on LL band. The singular values of the applied DCT coefficients and singular values of watermark are modified. The performance of the proposed algorithms was evaluated with respect to imperceptibility. The three algorithms are provided almost good imperceptibility and the robustness has varied against various attacks.

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Index Terms

Computer Science
Information Sciences

Keywords

Network Storage Devices multimedia watermarking DCT DWT SVD Robustness