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An Imperceptible Watermarking Scheme for Medical Image Tamper Detection

Abdallah Soualmi, Adel Alti and Lamri Laouamer
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Abdallah Soualmi: LRSD Lab, Computer Science Department, Faculty of Sciences, University of Setif 1, Algeria
Adel Alti: LRSD Lab, Computer Science Department, Faculty of Sciences, University of Setif 1, Algeria
Lamri Laouamer: Department of Management Information Systems, College of Business and Economics, Qassim University, Saudi Arabia

International Journal of Information Security and Privacy (IJISP), 2022, vol. 16, issue 1, 1-18

Abstract: One of the important issues in telemedicine field refers to an advanced secure communication. Digital image watermarking is an ideal solution since it protects the electronic patient information’s from unauthorized access. This paper presents a novel blind fragile-based image watermarking scheme in spatial domain that merges Speed Up Robust Features (SURF) descriptor with the well-known Weber Descriptors (WDs) and Arnold algorithm. It provides a good way for enhancing the image quality and time complexity for medical data integrity. Firstly, the watermark image is shuffled using Arnold chaotic map. Secondly, the SURF technique is practiced to Region of Interest (ROI) of the medical image and then the blocks around the SURF points are selected to insert the watermark. Finally, the watermark is encrusted and extracted using WDs. Experimental results show good image fidelity with the shortest execution time to ensure medical images integrity.

Date: 2022
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International Journal of Information Security and Privacy (IJISP) is currently edited by Yassine Maleh

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