An Image Encryption Method Based on Quantum Chaotic Map and Fractional Domain Transformation
A technology of chaotic mapping and encryption method, which is applied in the direction of digital data protection, etc., can solve the problems of insufficient smoothness of the histogram, poor pseudo-randomness, and good scrambling effect, so as to achieve not easy to attack and crack, enhanced encryption complexity, and good encryption effect Effect
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[0036] The inventive method selects classic lena (256 * 256) grayscale image (as figure 1 ) as the experimental test simulation object. The image encryption method is carried out in the matlab2016a environment, and the encryption workflow is shown in the figure. The key data used in the experiment are as follows: initial value of Henon map x0=0.32658698, y0=0.26853267, control parameters a=1.4, b=0.3, initial value of quantum Logistic chaos map
[0037] x' 0 =0.46983651,y' 0 =0.002659835123, z' 0 = 0.002658789456, r = 3.9, β = 3.5, Bernoulli mapping parameter c = 1.4.
[0038] Step 1: Open the original lena (256×256) grayscale bmp image, and read the pixel values of each point in the image sequentially from left to right to obtain the pixel matrix Q of the original image. Since the height and width of the image are equal, it is assumed that the height and width are represented by M.
[0039] Step 2: Use Henon mapping to generate two M×M chaotic sequences as X={x k |k=...
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