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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References
Cox, I.J., Matthew, L.M., Jeffrey, A.B., et al.: Digital Watermarking and Steganography, 2nd edn. Morgan Kaufmann Publishers (Elsevier), Burlington (2007)
Reddy, A.A., Chatterji, B.N.: A new wavelet based logo-watermarking scheme. Pattern Recognition Letters 26, 1019–1027 (2005)
Kang, X., Huang, J., Shi, Y.Q.: An image watermarking algorithm robust to geometric distortion. In: Petitcolas, F.A.P., Kim, H.-J. (eds.) IWDW 2002. LNCS, vol. 2613, pp. 212–223. Springer, Heidelberg (2003)
Lee, D., Kim, T., Lee, S., Paik, J.: Genetic algorithm-based watermarking in discrete wavelet transform domain. LNCS. Springer, Heidelberg (2006)
Wang, Z., Bovik, A.C.: A Universal Image Quality Index. IEEE Signal Processing Letters 9, 81–84 (2002)
Hsu, C.S., Tu, S.F.: An Imperceptible Watermarking Scheme Using Variation and Modular Operations. International Journal of Hybrid Information Technology 1(4), 9–16 (2008)
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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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