Abstract
The trade-off between the imperceptibility and robustness is one of the most challenges in digital watermarking system. To solve the problem, a digital image watermarking implementation of evolutionary algorithm in the discrete wavelet domain is presented. In the proposed scheme, the watermark is embedded in the vertical subband (HL m ) coefficients in wavelet domain. Furthermore, the proposed algorithm based on Particle Swarm Optimization is performed to train scaling factors to accomplish maximum the watermark strength while decrease the visual distortion. From experimental results, it demonstrates the robustness and the superiority of the proposed hybrid scheme.
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Tao, H., Zain, J.M., Abd Alla, A.N., Hongwu, Q. (2010). An Implementation of Digital Image Watermarking Based on Particle Swarm Optimization. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_33
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DOI: https://doi.org/10.1007/978-3-642-14292-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14291-8
Online ISBN: 978-3-642-14292-5
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