Abstract
The security of medical images becomes increasingly important for many reasons such as confidentiality, authentication, and integrity. In this context, the digital watermarking has appeared as a solution to protect the medical data diffused in hospital networks. In this article, we present a robust technique of medical image watermarking of various modalities such as Computed Tomography (CT Scanner), Magnetic Resonance Angiography (MRA), Magnetic Resonance Imaging (MRI), and X-Ray imaging, based on the combination of the Stationary Wavelet Transform (SWT) and the Fast Walsh-Hadamard Transform (FWHT). In our contribution, we have inserted the watermark of size 512 × 512 in the high-frequency subbands of the original image of the same size in order to increase the protection. The experimental results show that our contribution gives a good robustness against geometric and compression attacks compared to other techniques cited in the literature.
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Assini, I., Badri, A., Safi, K., Sahel, A., Baghdad, A. (2019). Robust Watermarking for Medical Image Against Geometric and Compression Attacks. In: Khoukhi, F., Bahaj, M., Ezziyyani, M. (eds) Smart Data and Computational Intelligence. AIT2S 2018. Lecture Notes in Networks and Systems, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-030-11914-0_10
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DOI: https://doi.org/10.1007/978-3-030-11914-0_10
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