A DCT-domain system for robust image watermarking
Signal Processing
SVD adapted DCT domain DC subband image watermarking against watermark ambiguity
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
A semi-fragile watermarking scheme based on SVD and VQ techniques
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Comments on "An SVD-based watermarking scheme for protecting rightful Ownership"
IEEE Transactions on Multimedia
Signal analysis using a multiresolution form of the singular value decomposition
IEEE Transactions on Image Processing
A hybrid DCT-SVD image-coding algorithm
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, two new properties of singular value decomposition (SVD) on images are proved. The first property demonstrates the quantitative relationship between singular values and power spectrum. The second one proves that under the condition of losing equal power spectrum, the square-error of the reconstructed image is much smaller when we reduce all singular values proportionally instead of neglect the smaller ones. Based on the two properties, a new data-hiding scheme is proposed. It performs well as for robustness, for it satisfies power-spectrum condition (PSC), and PSC-compliant watermarks are proven to be most robust. Besides, the proposed scheme has a good performance as for capacity and adaptability.