SVD-based digital image watermarking on approximated orthogonal matrix

A new watermarking method based on Singular Value Decomposition is proposed in this paper. The method uses new embedding rules to store a watermark in orthogonal matrix U that is preprocessed in advance in order to fit a proposed model of orthogonal matrix. Some experiments involving common distortions for grayscale images were done in order to confirm efficiency of the proposed method. The robustness of watermark embedded by our method was higher for all the proposed rules under condition of jpeg compression and in some cases outperformed existing method for more than 46%.