A robust digital watermarking algorithm based on SVD of compressive sampling measurements

Recently there has emerged a lot of work that integrates the compressive sampling theory into watermarking schemes. The subtle changes in local space domain of the signal can lead to distinct disturbance in all the measurements. It will lead to the poor robustness when the watermark is directly embedded into the compressive sampling measurements. To solve this problem, a robust digital watermarking algorithm based on singular value decomposition of compressive sampling measurements is presented in this paper. The watermark is embedded into the singular values of the host image in CS transform domain. Simulation results have shown that the proposed algorithm meets the demand of the transparency and achieves the better robustness to common image processing and geometric attacks. Our algorithm also helps to realize the synchronization of imaging and the watermark embedding.