Contourlet Based Image Watermarking Scheme Using Schur Factorization and SVD
Contourlet Based Image Watermarking Scheme Using Schur Factorization and SVD
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DOI：
10.1007/978-3-642-35615-5_53
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发表时间：
2012-02
期刊：
影响因子：
--
通讯作者：
R. Gunjan;P. Mitra;M. Gaur
中科院分区：
文献类型：
--
作者：
R. Gunjan;P. Mitra;M. Gaur
In this paper, a novel image watermarking scheme is proposed, based on Contourlet Transform (CT) and Matrix Factorization methods namely, Schur Factorization and Singular Value Decomposition (SVD). The original image and watermark are both decomposed by CT. The lowest frequency coefficients of original image after CT are factorized using SVD and that of watermark after CT are decomposed by Schur Factorization. The schur form of watermark is further factorized using SVD. The modified coefficients of singular values of watermark are embedded in the singular values of original image followed by inverse SVD and inverse CT computation that results in the watermarked image. The experimental results demonstrate that the scheme is resistant against signal processing attacks such as median filter, salt and pepper noise, Gaussian noise, compression and geometric attacks.
