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A Blind Fragile Based Medical Image Authentication Using Schur Decomposition

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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) (AMLTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 921))

Abstract

Image watermarking is an effective and powerful solution in multimedia security. Imperceptibility and less computational complexity are the most desirable properties for any watermarking approach. For that purpose, several fragile watermarking based methods have been proposed in the last decade. Many of those methods suffer from low ratios of imperceptibility. In order to authenticate medical images, this paper proposes a new blind fragile watermarking method using Schur decomposition. Indeed, perturbation due to watermark embedding is reduced using Schur decomposition, which can be considered in designing a watermarking approach to enhance imperceptibility and computational complexity. The main idea is to embed the watermark in the Schur decomposition coefficients of the host image using a new embedding technique. The experiments results show interesting values of imperceptibility with low computational complexity.

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Correspondence to Adel Alti .

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Soualmi, A., Alti, A., Laouamer, L., Benyoucef, M. (2020). A Blind Fragile Based Medical Image Authentication Using Schur Decomposition. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_62

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