A reversible-zero watermarking scheme for medical images

被引:9
作者
Taj, Rizwan [1 ]
Tao, Feng [1 ]
Kanwal, Saima [1 ]
Almogren, Ahmad [2 ]
Altameem, Ayman [3 ]
Rehman, Ateeq Ur [4 ]
机构
[1] Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China
[2] King Saud Univ, Coll Comp & Informat Sci, Dept Comp Sci, Riyadh 11633, Saudi Arabia
[3] King Saud Univ, Coll Appl Studies & Community Serv, Dept Nat & Engn Sci, Riyadh 11543, Saudi Arabia
[4] Gachon Univ, Sch Comp, Seongnam 13120, South Korea
基金
中国国家自然科学基金;
关键词
Reversible-zero watermarking; Medical images; Copyright protection; Authenticity; DISCRETE WAVELET TRANSFORM; ROBUST WATERMARKING; SHEARLET TRANSFORM; ALGORITHM; DCT; COEFFICIENTS;
D O I
10.1038/s41598-024-67672-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The paper addresses the issue of ensuring the authenticity and copyright of medical images in telemedicine applications, with a specific emphasis on watermarking methods. While several systems only concentrate on identifying tampering in medical images, others also provide the capacity to restore the tampered regions upon detection. While several authentication techniques in medical imaging have successfully achieved their goals, previous research underscores a notable deficiency: the resilience of these schemes against unintentional attacks has not been sufficiently examined or emphasized in previous research. This indicates the need for further development and investigation in improving the robustness of medical image authentication techniques against unintentional attacks. This research proposes a Reversible-Zero Watermarking approach as a solution to address these problems. The new approach merges the advantages of both the reversible and zero watermarking techniques. This system is comprised of two parts. The first part is a zero-watermarking technique that uses VGG19-based feature extraction and watermark information to establish an ownership share. The second part incorporates this ownership share into the image in a reversible manner using a combination of a discrete wavelet transform, an integer wavelet transform, and a difference expansion. Research findings confirm that the suggested watermarking approach for medical images demonstrates substantial enhancements compared to current methodologies. Research findings indicate that NC values are often around 0.9 for different attacks, whereas BER values are close to 0. It demonstrates exceptional qualities in being imperceptible, distinguishable, and robust. Additionally, the system provides a persistent verification feature that functions independently of disputes or third-party storage, making it the preferred choice in the domain of medical image watermarking.
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页数:22
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