A Novel Block-based Watermarking Scheme Using the SVD Transform

In this paper, a block-based watermarking scheme based on the Singular Value Decomposition (SVD) is proposed. Our watermark, a pseudo-random Gaussian sequence, is embedded by modifying the angles formed by the right singular vectors of each block of the original image. The orthogonality property of the right singular vector matrix is preserved during the embedding process. Several experiments have been carried out to test the performance of the proposed scheme against different attack scenarios. We conclude that the proposed scheme is resistant against common signal processing operations and attacks, while it preserves the quality of the original image

comments on "a semi-blind digital watermarking scheme based on singular value decomposition"

In a recent paper, a robust water-marking approach for hiding grayscale image watermark into digital images based on SVD (Singular Value Decomposition) is proposed by Shich et al. This comment demonstrates that the high robustness of the proposed scheme against various attacks is a result of improper algorithm design. The extracted watermark is just determined by the reference watermark used during the extraction process no matter what the input suspected image is. © 2008 IEEE