Method for local non-linear geometric attack resisting watermark based on image phase characteristic
A geometric attack and non-linear technology, which is applied in the field of digital watermarking and multimedia data protection, can solve problems such as non-linear geometric attacks, achieve good robustness, realize watermark detection, and have a wide range of applications
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[0107] Below in conjunction with accompanying drawing, the present invention is further described, test platform adopts Matlab6.5, uses 1000 groups of independent binary pseudo-random sequences (values are +1 or -1), and each group of sequence length is 128bit, in these 1000 groups of data In , we randomly extract a group (here we choose the 500th group) as the embedded watermark sequence. The original image is lena512, see Figure 3(a), the original image is expressed as F(i, j), where 1≤i≤512, 1≤j≤512 corresponds to the DFT transformation coefficient matrix FF(i,j), where 1≤i≤512, 1≤j≤512. The phase eigenvector of the image is formed by performing sign operation on the coefficients of the low-intermediate frequency part of FF(i, j). Considering the robustness and the capacity of embedding the watermark once, the length of the feature vector is taken here as L=128bit. After the watermark W' is detected, it is judged whether there is a watermark embedded by calculating the ...
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