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A redundant wavelet based medical image watermarking scheme for secure transmission in telemedicine applications

  • Track 2: Medical Applications of Multimedia
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Abstract

Watermarking is a method of protecting multimedia material, especially images, from malicious attacks by embedding a fingerprint. Whenever it comes to sensitive pictures, such as medical images, traditional watermarking methods, on the other hand, show their limitations. Indeed, the additional mark typically alters the picture in an irreversible manner and may conceal small details. In this paper, we propose a watermarking technique for patient identification and watermark integrity proof to solve these concerns. This approach uses a two-part watermark: the first carries the patient’s information fingerprint, and the second includes the patient’s encrypted photography. The frequency content of the image is extracted using a redundant discrete wavelet transform in this method. The resulting coefficients are then subjected to Schur decomposition, and the watermark bits are integrated by altering the least significant bit of the Eigen values. This method’s capacity enables the integration of the patient’s picture and fingerprint, as well as the insertion of an error-correcting code. The coefficient manipulation of the integration process allowed the watermark to be almost completely hidden. As a consequence, we were able to create a watermarked image that looked similar to the original. The method’s performance, as well as its resistance to JPEG compression and noise addition, were evaluated through experiments on test images. However, these values are sometimes far from the optimal value of 1 for normalized correlation.

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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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Acknowledgments

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

    Khaldi Amine

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

    Kafi Redouane

  3. Department of Electrical Engineering, Faculty of Engineering Sciences, LSEM Laboratory, Badji Mokhtar Annaba University, 23000, Annaba, Algeria

    Maghni Bilel

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  1. Khaldi Amine
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  3. Maghni Bilel
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Correspondence to Khaldi Amine or Maghni Bilel.

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Amine, K., Redouane, K. & Bilel, M. A redundant wavelet based medical image watermarking scheme for secure transmission in telemedicine applications. Multimed Tools Appl 82, 7901–7915 (2023). https://doi.org/10.1007/s11042-022-13649-7

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