Robust zero watermarking algorithm for medical images based on Zernike-DCT
Yang, Chengshan ORCID: 0000-0003-1926-8798 , Li, Jingbing ORCID: 0000-0001-6636-4710 , Bhatti, Uzair Aslam, Liu, Jing, Ma, Jixin, Huang, Mengxing and Xue, Xingsi (2021) Robust zero watermarking algorithm for medical images based on Zernike-DCT. Security and Communication Networks, 2021:4944797. pp. 1-8. ISSN 1939-0114 (Print), 1939-0122 (Online) (doi:https://doi.org/10.1155/2021/4944797)
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Abstract
Digital medical system not only facilitates the storage and transmission of medical information but also brings information security problems. Aiming at the security of medical images, a robust zero watermarking algorithm for medical images based on Zernike-DCT is proposed. *e algorithm first uses a chaotic logic sequence to preprocess and encrypt the watermark, then performs edge detection and Zernike moment processing on the original medical image to get the accurate edge points, and then performs discrete cosine transform (DCT) on them to get the feature vector. Finally, it combines perceptual Hash and zero watermark technology to generate the key to complete the watermark embedding and extraction. *e algorithm has good robustness to conventional and geometric attacks, strong antinoise ability, high positioning accuracy, and processing efficiency and is superior to the classical edge detection algorithm in extraction effect. It is a stable and reliable image edge detection algorithm.
Item Type: | Article |
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Additional Information: | In Special Issue on "Semantic Technologies for Security and Communication Networks." |
Uncontrolled Keywords: | medical images; zero watermarking algorithm; Zernike-DCT |
Subjects: | N Fine Arts > N Visual arts (General) For photography, see TR Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RC Internal medicine |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Last Modified: | 17 May 2022 08:18 |
URI: | http://gala.gre.ac.uk/id/eprint/36269 |
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