Friday 3rd of May 2024
 

Medical Images Watermarking for Security in m-Health: Implementation on Smartphone Android OS


Mohamed Boussif, Noureddine Aloui and Adnene Cherif

Medical data (imaging or report) are personnel information which are relative to the patient where this information is a medical secret. Therefore, in this paper, a new security system for medical imaging dedicated for m-Health is presented which is based on the high capacity robust/fragile blind watermarking of audio report in medical imaging. The audio signal is transformed with the decomposition by wavelet transform, then, we insert the normalized low coefficients of the transformed audio signal in spatial space of medical imaging to watermarked. After extraction, the imaging integrity is checked by analyzing the extracted audio. The imaging authentication is done by the robustness of watermarking against the different types of attack. The security of audio signal is done using an insertion key. The proposed algorithm is implemented on Smartphone android system, so, activities are built using XML script and Java for input speech of doctor, the insertion of this audio in medical imaging, and the extraction of an audio from a watermarked imaging. The objective of the paper is to concept a high capacity watermarking method which can store all audio report size. with an imperceptible watermark and an acceptable watermarked imaging quality and the system must be available in mobile Health system.

Keywords: Security, Watermarking, Medical Imaging

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ABOUT THE AUTHORS

Mohamed Boussif
Sciences Faculty of Tunis, Laboratory of analysis and processing of electrical and energy Systems, University of Tunis El-Manar, El Manar, PB 2092, Tunisia

Noureddine Aloui
Centre for Research on Microelectronics & Nanotechnology, Sousse Technology Park, Tunisia

Adnene Cherif
Sciences Faculty of Tunis, Laboratory of analysis and processing of electrical and energy Systems, University of Tunis El-Manar, El Manar, PB 2092, Tunisia


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