Gong, Cheng ORCID: https://orcid.org/0000-0002-0666-2529, Li, Jingbing ORCID: https://orcid.org/0000-0001-6636-4710, Bhatti, Uzair Aslam, Gong, Ming, Ma, Jixin ORCID: https://orcid.org/0000-0001-7458-7412, Huang, Mengxing and Xue, Xingsi (2021) Robust and secure zero-watermarking algorithm for medical images based on Harris-SURF-DCT and chaotic map. Security and Communication Networks, 2021:3084153. pp. 1-13. ISSN 1939-0114 (Print), 1939-0122 (Online) (doi:10.1155/2021/3084153)

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Abstract

To protect the patient information in medical images, this article proposes a robust watermarking algorithm for medical images based on Harris-SURF-DCT. First, the corners of the medical image are extracted using the Harris corner detection algorithm, and then, the previously extracted corners are described using the method of describing feature points in the SURF algorithm to generate the feature descriptor matrix. *en, the feature descriptor matrix is processed through the perceptual hash algorithm to obtain the feature vector of the medical image, which is a binary feature vector with a size of 32 bits. Secondly, to enhance the security of the watermark information, the logistic map algorithm is used to encrypt the watermark before embedding the watermark. Finally, with the help of cryptography knowledge, third party, and zero-watermarking technology, the algorithm can embed the watermark without modifying the medical image. When extracting the watermark, the algorithm can extract the watermark from the test image without the original image. In addition, the algorithm has strong robustness to conventional attacks and geometric attacks. Especially under geometric attacks, the algorithm performs better.

Item Type:	Article
Additional Information:	In Special Issue on "Semantic Technologies for Security and Communication Networks."
Uncontrolled Keywords:	Harris-SURF-DCT; chaotic map; medical images
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 08:13
URI:	http://gala.gre.ac.uk/id/eprint/36267

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