A zero-watermark embedding method for medical images based on nsct combined transformation
A medical image, zero watermark technology, applied in the computer field, can solve problems such as poor robustness, and achieve the effect of enhancing security, ensuring integrity, and ensuring quality
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Embodiment 1
[0053] The following introduces Embodiment 1 of a medical image zero-watermark embedding method based on NSCT combined transformation provided by this application, see figure 1 , embodiment one includes:
[0054] S101. Acquire the original medical image and the binary watermark image generated according to the patient information;
[0055] S102. Perform NSCT transformation, RDWT transformation, and DCT transformation on the pixel gray value matrix of the original medical image to obtain a coefficient matrix; extract binary symbols of a preset number of low-frequency coefficients in the coefficient matrix as the obtained Describe the feature vector matrix of the original medical image;
[0056] S103. Perform Arnold transformation on the pixel gray value matrix of the binary watermark image to obtain an encrypted watermark information matrix;
[0057] S104. Execute an XOR operation on the eigenvector matrix and the encrypted watermark information matrix to obtain a logical key...
Embodiment 2
[0074] The following is a detailed introduction to Embodiment 2 of a medical image zero-watermark embedding method based on NSCT combined transformation provided by this application, see Figure 5 , embodiment two specifically includes:
[0075] S501. Acquire the original medical image and the binary watermark image generated according to the patient information;
[0076] Specifically, a meaningful binary text image is selected as the binary watermark image embedded in the medical image, denoted as W n ={w(i,j)|w(i,j)=0,1;}. At the same time, select the tenth piece of medical volume data as the original medical image, denoted as I(i,j), where W n (i,j) and I(i,j) denote the pixel gray value of the binary watermarked image and the original medical image, respectively.
[0077] S502. Perform NSCT transformation, RDWT transformation, and DCT transformation on the pixel gray value matrix of the original medical image respectively to obtain a coefficient matrix; extract binary s...
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