Region-of-interest medical image chaotic encryption method based on information entropy update key
A technique of updating keys for areas of interest, applied in chaos model, image enhancement, image analysis, etc., can solve the problems of low encryption efficiency and inability to resist security flaws in medical image encryption technology, and achieve protection and frequency domain encryption Effect
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specific Embodiment approach 1
[0043] Specific implementation mode 1. Combination Figure 1 to Figure 3 Describe this embodiment, the chaotic encryption method of the medical image of the region of interest based on information entropy update key, this method is realized by the following steps:
[0044] Step 1. Take a gray-scale medical image of "Maximum Chest Density Projection" with a size of 512×512, as shown in the attached image 3 A) Shown as the original image Pimg.
[0045] Step 2. Divide the original image Pimg into image blocks B with a size of 2×2 s , a total of 65536 image blocks are obtained, where s is the number of the image block B, and s=1, 2,...,65536.
[0046] Step 3. Calculate the image block B described in step 2 sequentially according to formula (1) s The average of the gray values of all pixels in
[0047]
[0048] where mean2() represents the matrix mean function.
[0049] Step 4: Discrimination of the region of interest, the discrimination method is as follows:
[0050] w...
specific Embodiment approach 2
[0136] Specific embodiment two, combine figure 2 with image 3 This embodiment is described. This embodiment is the decryption method of the chaotic encryption method for medical images in regions of interest based on information entropy update key described in the first embodiment. The specific process is as follows:
[0137] Step A, taking a grayscale medical ciphertext image EnImg with a size of 512×512 as an encrypted image.
[0138] Step B. Divide the encrypted image EnImg into image blocks B2 with a size of 2×2 s , a total of 65536 image blocks are obtained, where s is the number of the image block B2, and s=1, 2, . . . , 65536.
[0139] Step C, sequentially calculate the image block B2 described in step 2 according to formula (30) s The average of the gray values of all pixels in
[0140]
[0141] where mean2() represents the matrix mean function.
[0142] Step D, the encryption region discrimination of the encrypted image, the discrimination method is as f...
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