Chaotic Encryption Method of Medical Image in Region of Interest Based on Information Entropy Update Key
A technology of region of interest and key update, applied in image enhancement, image analysis, chaotic model and other directions, can solve the problems of irresistible security defects, low encryption efficiency of medical image encryption technology, etc., to achieve protection and achieve 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, a chaotic encryption method for medical images in a region of interest based on information entropy update key, and the method is implemented by the following steps:
[0044] Step 1. Take a grayscale medical image of "maximum density projection of the chest" with a size of 512 × 512, as attached image 3 A), 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 image block B, s=1,2,...,65536.
[0046] Step 3: Calculate the image block B described in step 2 in turn according to formula (1) s The average of the grayscale values of all pixels within
[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] when , then th...
specific Embodiment approach 2
[0136] Specific embodiment 2. Combination figure 2 and image 3 This embodiment is described. This embodiment is the decryption method of the chaotic encryption method for medical images in the region of interest based on the information entropy update key described in the specific embodiment 1, and the specific process is as follows:
[0137] Step A: Take the grayscale medical ciphertext image EnImg with a size of 512×512 as the 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, s=1,2,...,65536.
[0139] Step C, calculate the image block B2 described in step 2 in turn according to formula (30) s The average value of all pixel gray values within
[0140]
[0141] where mean2() represents the matrix mean function.
[0142] Step D, the encryption area discrimination of the encrypted image, the discrimination method is a...
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