Printing anti-counterfeiting watermarking algorithm based on norm and norm mean comparison
A norm and mean value technology, applied in computing, image data processing, image data processing, etc., can solve the problems of reducing the visual effect of the original image, affecting the use of digital images, and less robust digital watermarking algorithms, to achieve resistance to primary and secondary Effect of a print-scan attack
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[0062] 1 The sign distribution of the difference between the singular value matrix norm of each sub-block and the mean value of the singular value matrix norm of all sub-blocks
[0063] image 3 is a Baboon grayscale image with a size of 512×512, Figure 4 For one print-scan and post-process the Baboon image. Use harr wavelet to perform three-level DWT on the Baboon image, divide the wavelet low-frequency approximation subband into non-overlapping 4×4 sub-blocks, perform SVD on each sub-block, and calculate the norm of the singular value matrix of each sub-block and all sub-blocks The mean of the singular value matrix norm.
[0064] Figure 5 is the sign distribution of the difference between the singular value matrix norm of each sub-block and the mean value of all sub-block singular value matrix norms in the original Baboon image, Figure 6 It is the sign distribution of the difference between the singular value matrix norm of each sub-block and the mean value of the sin...
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