Robust watermarking method for medical images on basis of Arnold scrambling transformation and DWT (discrete wavelet transform)-DFT (discrete Fourier transform)
A DWT-DFT, medical image technology, applied in image data processing, image data processing, instruments, etc., can solve problems such as leakage or tampering, achieve strong anti-geometric attack capabilities, improve security and reliability, and have high practical value.
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[0111] The present invention will be further described below in conjunction with accompanying drawing. Use a meaningful binary image as the watermark, see Figure 4(a), the size is 32×32. The original medical image used in the experiment is a three-dimensional image of the brain after CT scanning. The image of the tenth slice (128x128) is selected as shown in Figure 1(a). First utilize the scrambling transformation to scramble and encrypt the watermark (the number of times of scrambling depends on the desired effect, the number of times of scrambling is n=10, and the period of scrambling is T=24), see Fig. 4(b), of course, The scrambled image can be restored to the original image after a corresponding number of iterations, as shown in Figure 4(c). We denote the scrambled watermark as BW(i, j). Let the original image be expressed as F(i, j), where 1≤i≤128, 1≤j≤128, the corresponding full-image DWT-DFT coefficient matrix is FF(i,j), and the low intermediate frequency coeffici...
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