Visual-saliency-based image non-watermark algorithm and image copyright authentication method
A zero-watermark, significant technology, applied in the field of information hiding, can solve the problems of not well reflecting the characteristics of eigenvalues and affecting the stability of eigenvalues
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[0108] In a specific embodiment, we select an RGB image named Airplane whose size is 512×512 as the test object. In the image matching algorithm based on the combination similarity of feature points, the radial basis function (RBF) is selected as the kernel function for spatial mapping, and the KL divergence is used to measure the probability distance between two combinations, which is expressed by formula (4), ( 6) It can be seen that it depends on the number of feature pairs r a and r b (here, take r a = r b =1) and the RBF kernel width σ (here, σ=0.5). The specific implementation process is as follows (such as Figure 5 shown):
[0109] A01. Use the Koch and Itti visual attention mechanism model to analyze the saliency of the original image Airplane with a size of 512×512, and obtain a comprehensive visual saliency map saliencyMap a In (32×32, mapLevel=5), the salient points are arranged according to the rule of significance degree from strong to weak, and the first t...
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