Abstract
In recent years digital watermarking was developed significantly and applied broadly for copyright protection and authentication. In this paper, a digital image watermarking scheme is developed using neural network to embedded watermark into DCT domain of each subimage blocks obtained by subsampling, which achieves adaptively watermark embedding and stronger robustness. Furthermore, in order to improve the security of the proposed watermarking, a random permutation process is used in watermarking process. Experiments show that the proposed watermarking scheme is effect and encouraging.
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References
Hwang, M.S., Chang, C.C., Hwang, K.F.: Digital Watermarking of Images Using Neural Networks. Journal of Electron. Imaging 9, 548–555 (2000)
Yu, P.T., Tsai, H.H., Lin, J.S.: Digital Watermarking Based on Neural Networks for Color Images. Signal Processing 81, 663–671 (2001)
Zhang, Z.M., Li, R.Y., Wang, L.: Adaptive Watermark Scheme with RBF Neural Networks. In: Proc. IEEE Int. Conf. Neural Networks & Signal Processing, vol. 8, pp. 1517–1520 (2003)
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© 2006 Springer-Verlag Berlin Heidelberg
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Lu, W., Lu, H., Chung, FL. (2006). Robust Image Watermarking Using RBF Neural Network. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_92
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DOI: https://doi.org/10.1007/11760023_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34437-7
Online ISBN: 978-3-540-34438-4
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