Volume 3 Number 1 (Feb. 2011)
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IJCEE 2011 Vol.3(1): 8-16 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2011.V3.285

DC Coefficients Based Watermarking Technique for color Images Using Singular Value Decomposition

V. Santhi and Arunkumar Thangavelu

Abstract—As DC coefficients are perceptually most significant and more robust to many unintentional attacks (signal processing) and intentional attacks (unauthorized removal), in this paper we proposed a robust non-blind watermarking algorithm based on DC coefficients for color images. DC coefficients are obtained by applying discrete wavelet transformation technique (DWT) followed by block based Discrete Cosine Transformation (DCT) technique. The RGB color spaces of the cover image are decomposed into different frequency bands using wavelet decomposition and block based DCT is applied. DC matrix is SVD decomposed to obtain singular values in which watermark is to be hidden. The proposed algorithm increases the watermarking capacity of cover data watermark and provides robustness against many signal processing operations and intentional attacks. The quality of the extracted watermark from green and blue color spaces is very good. The measured psnr and NC values are tabulated.

Index Terms—Digital Watermarking, Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD).

V.Santhi is with the VIT University, Vellore, TamilNadu, India, 632 014phone: +91 9688138634 , e-mail: vsanthi@ vit.ac.in
Arunkumar Thangavelu is with VIT University, Vellore,Tamil Nadu,India, 632 014 . e-mail: arunkumar.thangavelu@gmail.com

Cite: V.Santhi and Arunkumar Thangavelu, "DC Coefficients Based Watermarking Technique for color Images Using Singular Value Decomposition," International Journal of Computer and Electrical Engineering vol. 3, no. 1, pp. 8-16, 2011.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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