Contourlet domain watermarking algorithms based on Arnold scrambling and singular value decomposition

Based on analyses of digital watermarking algorithm with Contourlet transform, a new Contourlet domain watermarking algorithm is proposed with the application of Arnold scrambling and singular value decomposition (SVD) strategy from two aspects of watermarking-preprocessing and embedding scheme. After the Contourlet transform, intermediate frequency sub-bands are decomposed to get singularity values, then watermarking scrambled with Arnold rule is dispersedly embedded into the SVD values, so as to improve the ability against attack. Experimental results show that, the proposed algorithm can not only strengthen the security of watermarking, but also equip with robustness against attacks such as noise and crop.