Adaptive Zero-Watermarking Algorithm Based On Slant And Boost Normed Singular Value Decomposition

In view of the unbalance of robustness and transparency in the traditional singular value decomposition(Singular Value Decomposition,SVD)watermarking algorithm,and the high false alarm rate and diagonal distortion caused by singular value decomposition(SVD),the watermark algorithm has the advantages of high false alarm rate and diagonal distortion.An adaptive zero watermarking algorithm based on skew transform(Slant transform)and boost normed singular value decomposition(Boost Normed Singular Value Decomposition,BN-SVD)is proposed.First,the original image is divided into non-overlapping blocks.Each sub-block is processed by oblique transformation,and the block matrix obtained by oblique transformation is decomposed by enhanced singular value decomposition.The eigenvector is formed according to the relationship between the maximum singular value of each block matrix and the mean value of the global maximum singular value.Second,the Arnold transform and logistic mapping are used to get the twice encrypted watermark image,finally,the zero watermark is constructed by the XOR operation between the feature vector and the twice encrypted watermark image.Determination of parameters introduced in enhanced singular value decomposition by iteration of fitness function cycle in(BAS)algorithm.The experimental results show that the proposed algorithm is robust to JPEG compression,noise and filtering.Under the attack of wave,rotation,shear and mixed attack,the normalized coefficient NC of the extracted watermark image and the original watermark image can reach above 98%,and the security performance of the watermarking algorithm is better.The watermark algorithm is optimized by BAS,and the parameters can be determined adaptively while reducing the computational cost of the watermark algorithm.By reducing the sensitivity of the image under attack and equalizing the gray value of the singular value matrix,the problem of high false alarm and diagonal distortion caused by the singular value decomposition watermarking algorithm is solved.Zero watermarking technique is used to solve the problem of unbalance between robustness and concealment caused by traditional embedded watermarking algorithm,and the watermark algorithm is further improved.Robustness.