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使用双随机相位加密技术对加密医学图像进行签名和验证

Signing and Verifying Encrypted Medical Images Using Double Random Phase Encryption.

作者信息

Abdallah Hanaa A, ElKamchouchi Dalia H

机构信息

Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

出版信息

Entropy (Basel). 2022 Apr 12;24(4):538. doi: 10.3390/e24040538.

DOI:10.3390/e24040538
PMID:35455201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9025103/
Abstract

Digital Signature using Self-Image signing is introduced in this paper. This technique is used to verify the integrity and originality of images transmitted over insecure channels. In order to protect the user's medical images from changing or modifying, the images must be signed. The proposed approach uses the Discrete Wavelet Transform to subdivide a picture into four bands and the Discrete Cosine Transform DCT is used to embed a mark from each sub-band to another sub-band of DWT according to a determined algorithm. To increase the security, the marked image is then encrypted using Double Random Phase Encryption before transmission over the communication channel. By verifying the presence of the mark, the authority of the sender is verified at the receiver. Authorized users' scores should, in theory, always be higher than illegal users' scores. If this is the case, a single threshold might be used to distinguish between authorized and unauthorized users by separating the two sets of scores. The results are compared to those obtained using an approach that does not employ DWT.

摘要

本文介绍了使用自图像签名的数字签名。该技术用于验证通过不安全通道传输的图像的完整性和原创性。为了保护用户的医学图像不被更改或修改,必须对图像进行签名。所提出的方法使用离散小波变换将一幅图像细分为四个波段,并使用离散余弦变换(DCT)根据确定的算法将每个子波段的一个标记嵌入到离散小波变换的另一个子波段中。为了提高安全性,在通过通信信道传输之前,使用双随机相位加密对标记图像进行加密。通过验证标记的存在,在接收端验证发送方的权限。理论上,授权用户的分数应该始终高于非法用户的分数。如果是这种情况,可以使用单个阈值通过分离两组分数来区分授权用户和未授权用户。将结果与使用不采用离散小波变换的方法获得的结果进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/a9653f49f152/entropy-24-00538-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/abae103ccaf3/entropy-24-00538-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/59944c743c8a/entropy-24-00538-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/9f782be11dd6/entropy-24-00538-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/0485a7517dcb/entropy-24-00538-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/a9653f49f152/entropy-24-00538-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/abae103ccaf3/entropy-24-00538-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/59944c743c8a/entropy-24-00538-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/9f782be11dd6/entropy-24-00538-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/0485a7517dcb/entropy-24-00538-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da91/9025103/a9653f49f152/entropy-24-00538-g005.jpg

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本文引用的文献

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Fingerprint-based robust medical image watermarking in hybrid transform.混合变换中基于指纹的鲁棒医学图像水印技术
Vis Comput. 2023;39(6):2245-2260. doi: 10.1007/s00371-022-02406-4. Epub 2022 Jan 29.
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Optical image encryption based on input plane and Fourier plane random encoding.基于输入平面和傅里叶平面随机编码的光学图像加密。
Opt Lett. 1995 Apr 1;20(7):767-9. doi: 10.1364/ol.20.000767.
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Image quality assessment: from error visibility to structural similarity.图像质量评估:从误差可见性到结构相似性。
IEEE Trans Image Process. 2004 Apr;13(4):600-12. doi: 10.1109/tip.2003.819861.