Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images

The advancement of internet has greatly facilitated development of healthcare technology, particularly in the field of remote diagnosis. However, during the transmission of medical images and electronic medical records through internet, there are risks such as theft, tampering, and compression, whic...

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Main Authors: Deyang Wu, Li Li, Jiayan Wang, Penghui Ma, Zichi Wang, Hanzhou Wu
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823002628
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author Deyang Wu
Li Li
Jiayan Wang
Penghui Ma
Zichi Wang
Hanzhou Wu
author_facet Deyang Wu
Li Li
Jiayan Wang
Penghui Ma
Zichi Wang
Hanzhou Wu
author_sort Deyang Wu
collection DOAJ
description The advancement of internet has greatly facilitated development of healthcare technology, particularly in the field of remote diagnosis. However, during the transmission of medical images and electronic medical records through internet, there are risks such as theft, tampering, and compression, which may result in leakage or damage of patients’ information. A robust zero-watermarking scheme using DT CWT and improved differential entropy is proposed to protect the copyright and security of medical images. Firstly, the low-frequency information of medical image is extracted by DT CWT to weaken the impact of non-geometric attacks. Then, a sub-block selection method based on variance is used to select locally stable sub-blocks, and the traditional differential entropy method is improved by introducing singular values and their mean, which improves its robustness against geometric attacks. In order to ensure the security of zero-watermarking, Arnold scrambling and Logistic mapping encryption mechanisms are applied to watermark images. Experimental results show that the proposed scheme provides a high level of robustness with an average normalized correlation value of 0.9928. Compared with other advanced schemes, the robustness of the proposed scheme can be improved by 9 percentage points under the same attacks, which verifies the superiority of the proposed scheme.
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spelling doaj.art-722fa95c3dc74a019ff051e0232ace392023-10-07T04:34:08ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782023-09-01358101708Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical imagesDeyang Wu0Li Li1Jiayan Wang2Penghui Ma3Zichi Wang4Hanzhou Wu5School of Communication and Information Engineering, Shanghai University, Shanghai 200444, Shanghai, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, Shanghai, ChinaSchool of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China; Corresponding author.School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, Shanghai, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, Shanghai, ChinaThe advancement of internet has greatly facilitated development of healthcare technology, particularly in the field of remote diagnosis. However, during the transmission of medical images and electronic medical records through internet, there are risks such as theft, tampering, and compression, which may result in leakage or damage of patients’ information. A robust zero-watermarking scheme using DT CWT and improved differential entropy is proposed to protect the copyright and security of medical images. Firstly, the low-frequency information of medical image is extracted by DT CWT to weaken the impact of non-geometric attacks. Then, a sub-block selection method based on variance is used to select locally stable sub-blocks, and the traditional differential entropy method is improved by introducing singular values and their mean, which improves its robustness against geometric attacks. In order to ensure the security of zero-watermarking, Arnold scrambling and Logistic mapping encryption mechanisms are applied to watermark images. Experimental results show that the proposed scheme provides a high level of robustness with an average normalized correlation value of 0.9928. Compared with other advanced schemes, the robustness of the proposed scheme can be improved by 9 percentage points under the same attacks, which verifies the superiority of the proposed scheme.http://www.sciencedirect.com/science/article/pii/S1319157823002628Medical image watermarkingZero-watermarkingImage encryptionDifferential entropyImage copyright protection
spellingShingle Deyang Wu
Li Li
Jiayan Wang
Penghui Ma
Zichi Wang
Hanzhou Wu
Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images
Journal of King Saud University: Computer and Information Sciences
Medical image watermarking
Zero-watermarking
Image encryption
Differential entropy
Image copyright protection
title Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images
title_full Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images
title_fullStr Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images
title_full_unstemmed Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images
title_short Robust zero-watermarking scheme using DT CWT and improved differential entropy for color medical images
title_sort robust zero watermarking scheme using dt cwt and improved differential entropy for color medical images
topic Medical image watermarking
Zero-watermarking
Image encryption
Differential entropy
Image copyright protection
url http://www.sciencedirect.com/science/article/pii/S1319157823002628
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