A fuzzy watermarking system using the wavelet technique for medical images

International audience; In medical imaging, it has been shown that watermarking can improve data protection and content enrichment. In this paper, an adaptive watermarking algorithm performed in the wavelet domain is proposed which exploits a human visual system (HVS) and a Fuzzy Inference System (FIS). Human visual system (HVS) is adopted to further ensure the watermark invisibility. The FIS is utilized to compute the optimum watermark weighting function that would enable the embedding of the maximum-energy and imperceptible watermark. For the purpose of security and robustness, a watermark sequence is embedded by selectively modifying the middle-frequency parts of the image. The experimental results achieved demonstrate that the proposed algorithm is robust against both, signal processing and geometric attacks.