Volume data multi-watermark method based on three-dimensional DWT-DCT (3D Wavelet Transform-Discrete Cosine Transformation) perceptual hashing
A DWT-DCT, volume data technology, applied in image data processing, image data processing, instruments, etc., can solve the problem of embedding multiple watermarks to increase the difficulty, achieve strong resistance to conventional attacks, wide application range, and strong resistance to geometric attacks effect of ability
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[0122] The simulation platform is Matlab2010a, using 1000 sets of independent binary pseudo-random sequences (value +1 or -1), each set of sequence length is 64bit, in these 1000 sets of data, we randomly select three sets (here we choose the 300th set , 500 and 700 groups) as the embedded three watermark sequences. Below in conjunction with accompanying drawing, the present invention will be further described, and a slice of original medical volume data sees Figure 5 , is taken from the NMR three-dimensional image volume data (MRI.mat) that comes with matlab. The size of the volume data is 128x128x27. See Figure 9 . The original volume data is expressed as F(i,j,k), where 1≤i,j≤128; 1≤k≤27, and the corresponding three-dimensional DWT-DCT coefficient matrix is FD(i,j,k), where 1≤ i,j≤128; 1≤k≤27. Considering the robustness and capacity of embedding multiple watermarks at once, we take the first 4×4×4 coefficients. Then perform 3D-IDCT transformation, and calculate the ...
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