A blind dual color images watermarking based on singular value decomposition

In this paper, a blind watermarking scheme based on Singular Value Decomposition (SVD) is proposed. By analyzing the orthogonal matrix U via SVD, it is found that there exists a strong similarity correlation between the second row first column element and the third row first column element. Hence, this work will utilize this property for image watermarking. Firstly, the 4 × 4 non-overlapping pixels block of each component in color host image is processed by SVD. And then, the color watermark is embedded by slightly modifying the value of the second row first column element and the third row first column one of U matrix, and the modified relation can be utilized to extract watermark. Hence, without resorting to the original watermark image and original host image, the embedded watermark can be easily extracted. The experiment results show that the proposed watermarking algorithm can ensure the invisibility and stronger robustness for the common image processing operations and geometric attacks, and the performance of this proposed method outperforms that of other proposed methods considered in this work.