论文信息 - A Comparative performance evaluation of SVD and Schur Decompositions for Image Watermarking

A Comparative performance evaluation of SVD and Schur Decompositions for Image Watermarking

In this paper, the performance of SVD and Schur decomposition is evaluated and compared for image copyright protection applications. The watermark image is embedded in the cover image by using Quantization Index Modulus Modulation (QIMM) and Quantization Index Modulation (QIM). Watermark image is embedded in the D matrix of Schur decomposition and Singular Value Decomposition (SVD). Watermarking in SVD domain is highly flexible . This is

B. Chandra Mohan | B. Mohan

[1] Gregory W. Wornell,et al. Digital watermarking and information embedding using dither modulation , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).

[2] S. Srinivas Kumar,et al. Robust Digital Watermarking Scheme using Contourlet Transform , 2008 .

[3] Mauro Barni,et al. Improved wavelet-based watermarking through pixel-wise masking , 2001, IEEE Trans. Image Process..

[4] B. Chandra Mohan,et al. An oblivious image watermarking scheme using singular value decomposition , 2007, SIP.

[5] Kuo-Liang Chung,et al. On SVD-based watermarking algorithm , 2007, Appl. Math. Comput..

[6] Yongdong Wu,et al. On the security of an SVD-based ownership watermarking , 2005, IEEE Transactions on Multimedia.

[7] Heung-Kyu Lee,et al. Geometric attack resistant watermarking in wavelet transform domain. , 2005, Optics express.

[8] Rajarathnam Chandramouli,et al. Multiple-description framework for oblivious watermarking , 2001, IS&T/SPIE Electronic Imaging.

[9] W. C. Chu,et al. DCT-based image watermarking using subsampling , 2003, IEEE Trans. Multim..

[10] Yulin Wang,et al. Blind image data hiding based on self reference , 2004, Pattern Recognit. Lett..