A Security Method for Multi-viewpoint Images
A technology of multi-viewpoint image and security method, which is applied in the field of security of multi-viewpoint image, can solve the problems of low degree of confusion and easy cracking, and achieve the effect of high degree of confusion, good confidentiality performance and improved security
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Embodiment 1
[0030] A security method for a multi-viewpoint image, which comprises the following steps:
[0031] 1) The original multi-view image is attached figure 1 As shown, there are 16 pixel units in total. The confusion end converts 50% of the RGB pixel units in the original multi-viewpoint image into YCbCr pixel units. figure 1 The 8 RGB pixel units 1, 2, 5, 7, 11, 12, 14, and 16 are converted into YcbCr pixel units, and each RGB pixel unit or YCbCr pixel unit is decomposed into three sub-pixels to form a transition image. image attached figure 2 As shown, the pixel conversion information is stored;
[0032] 2) Each pixel unit sub-pixel in the transition image is mapped by a position random number array to generate a new confused pixel image; at this time, the position random number array mapping uses a beta distribution random number generator to generate a number corresponding to each sub-pixel, and then According to the generated numbers, rearrange from small to large, that i...
Embodiment 2
[0037] Other steps are as embodiment 1, and the difference is: 10 pixel units in the 16 pixel units of the original image are first converted from RGB to YcbCr, and the chi-square distribution random number generator is used to generate random numbers corresponding to the pixel units of the transition image, And arrange and confuse according to the generated random numbers from large to small.
Embodiment 3
[0039] Other steps are as embodiment 1, the difference is:
[0040] Step 2) Use the beta distribution random number generator to generate 6 groups of random numbers. A hidden control word is added to the first line of the multi-viewpoint image in the first frame of the video to control the multi-viewpoint image of the current video to select one of the random number arrays for mapping and inverse mapping.
[0041] Assuming that the actual screen has n lines, this method needs to sacrifice the first line of the first frame image for use as control information, and the effective pixel lines are n-1 lines.
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