A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness
The authenticity and integrity of medical images in telemedicine has to be protected. Robust reversible watermarking (RRW) algorithms provide copyright protection and the original images can be recovered at the receiver’s end. However, the existing algorithms have limitations in their ability to bal...
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MDPI AG
2021-04-01
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Online Access: | https://www.mdpi.com/2079-9292/10/9/1024 |
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author | Xiaoyi Zhou Yue Ma Qingquan Zhang Mazin Abed Mohammed Robertas Damaševičius |
author_facet | Xiaoyi Zhou Yue Ma Qingquan Zhang Mazin Abed Mohammed Robertas Damaševičius |
author_sort | Xiaoyi Zhou |
collection | DOAJ |
description | The authenticity and integrity of medical images in telemedicine has to be protected. Robust reversible watermarking (RRW) algorithms provide copyright protection and the original images can be recovered at the receiver’s end. However, the existing algorithms have limitations in their ability to balance the tradeoff among robustness, imperceptibility, and embedded capacity. Some of them are even not completely reversible. Besides, most medical image watermarking algorithms are not designed for color images. To improve their performance in protecting medical color image information, we propose a novel RRW scheme based on the discrete wavelet transform (DWT). First, the DWT provides a robust solution. Second, the modification of the wavelet domain coefficient guarantees the changes of integer values in the spatial domain and ensures the reversibility of the watermarking scheme. Third, the embedding scheme makes full use of the characteristics of the original image and watermarking. This reduces the modification of the original image and ensures better imperceptibility. Lastly, the selection of the Zernike moments order for geometric correction is optimized to predict attack parameters more accurately by using less information. This enhances the robustness of the proposed scheme against geometric attacks such as rotation and scaling. The proposed scheme is robust against common and geometric attacks and has a high embedding capacity without obvious distortion of the image. The paper contributes towards improving the security of medical images in remote healthcare. |
first_indexed | 2024-03-10T11:57:54Z |
format | Article |
id | doaj.art-5e0b30259fb047d5a2b3b21cebd15e36 |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-10T11:57:54Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-5e0b30259fb047d5a2b3b21cebd15e362023-11-21T17:08:00ZengMDPI AGElectronics2079-92922021-04-01109102410.3390/electronics10091024A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and RobustnessXiaoyi Zhou0Yue Ma1Qingquan Zhang2Mazin Abed Mohammed3Robertas Damaševičius4School of Cyberspace Security, Hainan University, Haikou 570228, ChinaSchool of Cyberspace Security, Hainan University, Haikou 570228, ChinaSchool of Cyberspace Security, Hainan University, Haikou 570228, ChinaInformation Systems Department, College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, IraqFaculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, PolandThe authenticity and integrity of medical images in telemedicine has to be protected. Robust reversible watermarking (RRW) algorithms provide copyright protection and the original images can be recovered at the receiver’s end. However, the existing algorithms have limitations in their ability to balance the tradeoff among robustness, imperceptibility, and embedded capacity. Some of them are even not completely reversible. Besides, most medical image watermarking algorithms are not designed for color images. To improve their performance in protecting medical color image information, we propose a novel RRW scheme based on the discrete wavelet transform (DWT). First, the DWT provides a robust solution. Second, the modification of the wavelet domain coefficient guarantees the changes of integer values in the spatial domain and ensures the reversibility of the watermarking scheme. Third, the embedding scheme makes full use of the characteristics of the original image and watermarking. This reduces the modification of the original image and ensures better imperceptibility. Lastly, the selection of the Zernike moments order for geometric correction is optimized to predict attack parameters more accurately by using less information. This enhances the robustness of the proposed scheme against geometric attacks such as rotation and scaling. The proposed scheme is robust against common and geometric attacks and has a high embedding capacity without obvious distortion of the image. The paper contributes towards improving the security of medical images in remote healthcare.https://www.mdpi.com/2079-9292/10/9/1024reversible watermarkingzernike momentgeometric attacksmedical imagestelemedicine |
spellingShingle | Xiaoyi Zhou Yue Ma Qingquan Zhang Mazin Abed Mohammed Robertas Damaševičius A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness Electronics reversible watermarking zernike moment geometric attacks medical images telemedicine |
title | A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness |
title_full | A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness |
title_fullStr | A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness |
title_full_unstemmed | A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness |
title_short | A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness |
title_sort | reversible watermarking system for medical color images balancing capacity imperceptibility and robustness |
topic | reversible watermarking zernike moment geometric attacks medical images telemedicine |
url | https://www.mdpi.com/2079-9292/10/9/1024 |
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