Abstract:

Aiming at the false alarm errors of singular value decomposition (SVD) and the contradiction between robustness and invisibility of watermarking, we present a robust digital watermarking based on Slant transform and SVD. Firstly, the watermarking image is pretreated by the twofactor encrypting processing of Arnold scrambling and Logistic mapping. The original host image is divided into 8*8 nonoverlapping subblocks, and then the subblocks are transformed by Slant transform and decomposed by the blocked SVD. Thirdly, left singular matrix and singular value matrix of the watermarking image after SVD processing are multiplied as watermarking principal components to embed into the maximum singular value of each subblock. Simulation results show that the proposed watermarking algorithm not only effectively solves the problem of false alarm problem of the traditional SVD watermarking algorithm, but also improves the running speed and watermarking security. At the same time, it has better visibility and robustness to common attacks such
as JPEG compression, noise, filtering and geometric attacks.

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