Robust and Secure Watermarking of Medical Images Using Möbius Transforms

Watermarking medical images is essential to ensure data integrity, authentication, and secure information transfer in healthcare systems. This paper explores the application of Möbius transforms, a non-linear transformation technique, for robust and secure watermarking of medical images. Our approac...

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Bibliographic Details
Published in2024 10th International Conference on Artificial Intelligence and Robotics (QICAR) pp. 208 - 214
Main Authors Al-Rammahi, Atheer, Sajedi, Hedieh
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.02.2024
Subjects
Data security
Healthcare Data Security
Image quality
Measurement
Medical Image Watermarking
Medical services
Möbius Transforms
Transforms
Visualization
Watermarking
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DOI10.1109/QICAR61538.2024.10496638

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Summary:Watermarking medical images is essential to ensure data integrity, authentication, and secure information transfer in healthcare systems. This paper explores the application of Möbius transforms, a non-linear transformation technique, for robust and secure watermarking of medical images. Our approach optimizes Möbius transform parameters through an evolutionary algorithm. Comprehensive experiments subject medical images to common attacks, evaluating the robustness of the Möbius transform-based watermarking (MTW) method using performance measures. The findings demonstrate significant resilience, maintaining image quality and watermark integrity. This paper enhances medical data security, contributing to secure medical imaging systems, advancing reliability, and confidentiality in healthcarepractices.
DOI:10.1109/QICAR61538.2024.10496638