Abstract
Digital watermarking for various multimedia contents is an effective solution for copyright protection. The techniques of 3D Watermarking carefully insert some secret bits of data in 3D object. These techniques contain contradictory parameters as watermarked object quality (invisibility), capacity and watermark robustness. Thus these parameters should be expressed in fitness functions then trying to estimate their value via utilizing an optimization technique. Thus this paper suggests an optimized watermarking algorithm dependent on non-dominated sorting genetic algorithm II (NSGA-II) optimizer. In this framework, watermark is hided in low frequency coefficients in spectrum domain utilizing an inserting technique dependent on Dither Modulation (DM) technique. The aim of optimization is to look for optimal quantization step, so as to enhance both quality and robustness. As well as, performance of proposed algorithm is analyzed in expressions of signal to noise ratio and correlation coefficient. The investigational results indicate that proposed algorithm can accomplish a good robustness for most of included studied attacks in this research.
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Hany, M.F., Youssef, B.A.B., Darwish, S.M., Hosam, O. (2020). Intelligent Watermarking System Based on Soft Computing. In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_3
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DOI: https://doi.org/10.1007/978-3-030-31129-2_3
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