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A Blind and High-Capacity Data Hiding Scheme for Medical Information Security

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Abstract

How to guarantee the confidentiality of sensitive data communicated over the Internet and restrict access to designated information is today’s key security and protection concern in telemedicine. In this work, we suggest a reliable and blind medical image watermarking method that combines integer wavelet transform (IWT) and singular value decomposition to keep such information private. A major drawback of current IWT-based watermarking systems is their low embedding capacity. This paper suggests an IWT-based secure large capacity watermarking solution to overcome this specific drawback. The proposed technique effectively preserves a considerable quality of watermarked images, and the watermark is resistant to the most frequently used attacks in watermarking, according to experiment results on imperceptibility and robustness.

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Data Availability

The data used to support the findings of this study could be found freely here: https://odir2019.grand-challenge.org/.

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Acknowledgements

This work was supported by “La Direction Générale de la Recherche Scientifique et du Développement Technologique (DGRSDT)” of Algeria.

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Authors and Affiliations

  1. Electrical Engineering Laboratory, Department of Electronics, Faculty of Sciences and Technology, University of Kasdi Merbah, 30000, Ouargla, Algeria

    Moad Med Sayah & Kafi Med Redouane

  2. Laboratories of Automation and Signals of Annaba (LASA), Electronics Department, Faculty of Engineering Sciences, Badji Mokhtar Annaba University, 23000, Annaba, Algeria

    Zermi Narima

  3. Artificial Intelligence and Information Technology Laboratory (LINATI), Computer Science Department, Faculty of Sciences and Technology, University of Kasdi Merbah, 30000, Ouargla, Algeria

    Khaldi Amine

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  1. Moad Med Sayah
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  2. Zermi Narima
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Correspondence to Khaldi Amine.

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Sayah, M.M., Narima, Z., Amine, K. et al. A Blind and High-Capacity Data Hiding Scheme for Medical Information Security. Circuits Syst Signal Process (2024). https://doi.org/10.1007/s00034-024-02684-4

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