In response to the limited resistance of most robust digital image watermarking techniques a-gainst shear attacks,a robust blind watermarking method for color images is proposed in this paper.Initially,the Gray-Level Co-occurrence Matrix is employed to calculate the energy and contrast of the carrier image.An adaptive fitness function is constructed based on the weighted sum of energy and contrast,and a Genetic Algo-rithm is utilized to generate randomly sized and texture-rich image blocks for watermark information embed-ding,enhancing the resistance of the watermark against shear attacks.Subsequently,by integrating Discrete Wavelet Transform and zigzag scanning,low-frequency regions with highly correlated approximation coeffi-cients are clustered and vectorized.The vectorized approximation coefficients are decomposed into two highly positively correlated sub-vectors.Finally,utilizing the Discrete Cosine Transform,the coefficient matrix is modified to embed the watermark information.Differential extraction is achieved by leveraging the Discrete Co-sine Transform coefficient matrices of the two sub-vectors,reducing the difficulty of watermark extraction.Ex-perimental results demonstrate that the proposed method exhibits excellent robustness against shear attacks,with normalized coefficients of the extracted blind watermark all exceeding 0.94 under conditions where the peak signal-to-noise ratio is higher than 36 dB.
维普
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