Abstract
A medical image watermarking system must meet three basic requirements: transparency, robustness, and payload capacity. Watermarking medical images is mostly concerned with ensuring they are robust against manipulation. The embedding factor is used in many robust watermarking algorithms to hide the secret information behind the cover medical image. Many watermarking algorithms have difficulty selecting appropriate embedding factors. An effective copyright protection algorithm for medical images uses particle swarm optimization (PSO) to provide robust, hybrid, and blind watermarking. The embedding factor is selected using PSO based on the medical image and watermark information. Compared to the existing algorithms, the proposed algorithm performs better in transparency and payload capacity based on experimental results and comparative analysis.
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Thanki, R., Joshi, P. (2023). Optimized Watermarking Scheme for Copyright Protection of Medical Images. In: Yadav, R.P., Nanda, S.J., Rana, P.S., Lim, MH. (eds) Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-8742-7_1
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DOI: https://doi.org/10.1007/978-981-19-8742-7_1
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