Reversible secret information hiding and extracting method
A technology of secret information and extraction method, which is applied in the field of reversible secret information hiding and extraction, can solve problems such as distortion, and achieve the effect of increasing the capacity of secret information
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Embodiment 1
[0042] The overall framework of the reversible secret information hiding method in the embodiment of the present invention is as follows figure 1 As shown, the implementation of this method includes the following steps:
[0043] Step 1: Preprocess the carrier image:
[0044] (1) Divide the carrier image into V non-overlapping block images of size h′w, each block image contains s pixels, and number each block image, where s=h′w ;
[0045] (2) Find m peak points (m30) on the gray histogram of each block image, find the n zero points (n30) closest to each peak point, and ensure that the zero points are on the same side And different peak points cannot use the same zero point, thus forming the m'n pair peak-zero point pair (P i ,Z ij ), where P i Represents the gray value of the i-th peak point, i is from 1 to m, Z ij Represents the gray value of the zero point, j is from 1 to n, the maximum peak point hidden information number B and the number of zero points n satisfy the relationship...
Embodiment 2
[0059] The difference from the first embodiment is that before the secret information embedding operation in step 2, the steepness index of each block image grayscale histogram is first calculated, and the steepness index threshold is set at the same time, and then the steepness index is less than the steepness index threshold. Information embedding is not performed on the block image of, and the block image with a steepness index greater than the threshold of the steepness index is processed for information embedding. The operation method of information embedding is the same as that of the first embodiment.
[0060] According to actual experience, when the amount of information that needs to be embedded is large, the set steepness index threshold is small, and when the amount of information that needs to be embedded is small, the set steepness index threshold is relatively large.
[0061] The calculation method of the steepness index DQ of the gray histogram of each block image is ...
Embodiment 3
[0070] On the basis of the second embodiment, it is also possible to perform original image restoration on each block image from which the secret information has been extracted, and restore the original image according to the reverse operation of preprocessing in step 1, namely:
[0071] In the gray histogram of each block image, for each peak-zero point pair (P i ,Z ij ) Perform the following operations: When P i ij , Make the gray value P i +1 to Z ij The gray value of all pixels between -1 is reduced by 1; when P i > Z ij , Make the gray value P i -1 to Z ij The gray value of all pixels between +1 is increased by 1.
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