A novel watermarking algorithm based on SVD and zernike moments

A robust image watermarking technique is proposed in this paper. The watermarked image is obtained by modifying the maximum singular value in each image block. The robustness of the proposed algorithm is achieved from two aspects: the stability of the maximum singular values and preprocessing before watermark extraction. Zernike moments are used to estimate the rotation angle, and the translation and scaling distortions are corrected by geometric moment methods. Experimental results show that this algorithm makes a trade-off among the imperceptibility, robustness and capacity.