Medical image zero-watermark embedding method based on NSCT combined transformation
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A medical image, zero watermark technology, applied in the computer field, can solve problems such as poor robustness
Active Publication Date: 2019-11-29
HAINAN UNIVERSITY
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[0007] The purpose of this application is to provide a medical image zero-watermark embedding method, device, equipment and readable storage medium based on NSCT combined transformation, to solve the problem that the traditional watermark embedding scheme cannot avoid the leakage of medical image information and watermark information, and the The problem of poor stickiness
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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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Abstract
The invention discloses a medical image zero-watermark embedding method and device based on NSCT combination transformation, equipment and a readable storage medium. The scheme is implemented on the basis of hybrid transformation and Arnold transformation of NSCT, RDWT and DCT, and in the watermark embedding process, firstly, a more robust medical image feature vector is extracted in combination with the NSCT, the RDWT and the DCT so as to resist geometric attacks. Secondly, the watermark is encrypted by utilizing Arnold transformation, so that the security of watermark information is enhanced; and finally, watermark embedding is realized by using a zero watermark technology, so that the integrity, the watermark capacity and the invisibility of the medical image are ensured, the defect oforiginal image data modification caused by a traditional watermark embedding technology is avoided, and the quality of the medical image is ensured. Therefore, even if the patient information is attacked intentionally or unintentionally, the medical image and the watermark cannot be cracked as long as the unauthorized user does not know the secret key, so that the personal information of the patient is truly protected.
Description
technical field [0001] The present application relates to the field of computer technology, in particular to a zero-watermark embedding method, device, equipment and readable storage medium for medical images based on NSCT combined transformation. Background technique [0002] In the field of biomedicine, a large number of digital data are generated every day, including ultrasound, X-ray pictures, CT and MRI, etc. Most of these materials use the PACS system for image storage and remote communication, but transmission and storage in the cloud environment are easy to be stolen or tampered with, making researchers conduct in-depth research on the confidentiality, integrity and authenticity of medical images. Research. At the same time, medical images contain a large amount of important information of patients, and they face security threats when they are stored and transmitted on the Internet. Therefore, it is urgent to take protective measures for medical images of patients....
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