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Volume 25 Issue 9
Sep.  2003
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Liu Ju, Sun Jiande. AN APPROACH OF WATERMARKING BASED ON INDEPENDENT FEATURE DECOMPOSITION OF IMAGE[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1174-1179.
Citation: Liu Ju, Sun Jiande. AN APPROACH OF WATERMARKING BASED ON INDEPENDENT FEATURE DECOMPOSITION OF IMAGE[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1174-1179.

AN APPROACH OF WATERMARKING BASED ON INDEPENDENT FEATURE DECOMPOSITION OF IMAGE

  • Received Date: 2002-04-22
  • Rev Recd Date: 2002-11-18
  • Publish Date: 2003-09-19
  • Independent Component Analysis (ICA), which is presented in studying the prob-lem of blind source separation, is a novel method of signal processing and data analysis. Using ICA, the source signals can be extracted only from the observations according to the statistic independent characteristics of the input signals, even without the coefficients of the source sig-nals and the transfer channels. In this paper, an image is considered as a mixture of several independent feature causes, and the ICA is used both on the original image and the watermark image respectively, A new approach of embodying digital watermark is proposed. The simu-lation results show that the embedded digital watermark can be extracted correctly, and the robustness exists in the new approach.
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  • F.A.P. Petitcolas, R. J. Anderson, M. G. Kuhn, Information hiding, A survey, Proc. IEEE,1999, 87(7), 1062-1078.[2]V. Cappellini, M. Barni, F. Bartolini, A. Piva, A DCT-domain system for robust image watermarking, Signal Processing, 1998, 66(3), 357-372.[3]M.D. Swanson, B. Zhu, et al., Transparent robust image watermarking, Proc. IEEE ICIP, 1996,Lausanne, Switzerland, 3, 211-214.[4]J.R. Hernandez, F. P. Perez-Gonzalez, Statistical analysis of watermarking schemes for copyright protection of images, Proc. IEEE, 1999, 87(7), 1142-1166.[5]W. Bender, D. Druhl, et al., Techniques for data hiding, IBM Syst. J., 1996, 35(3/4), 313-316.[6]F.J. Gonzalez-Serrano, et al., Independent component analysis applied to digital image watermarking, in Proc. of ICASSP2001, Salt Lake City, Utah, 2001, 1997-2000.[7]Ju Liu, Kaibao Nie, Zhenya He, Blind separation by redundancy reduction in a recurrent neural network, Chinese Journal of Electronics, 2001, 10(3), 415-419.[8]He Zhenya, Liu Ju, Yang Luxi, Blind separation of images using edgeworth expansion based ICA algorithm, Chinese Journal of Electronics, 1999, 8(3), 278-282.[9]P. Comon, Independent component analysis, a new concept? Signal Processing, 1994, 36(3),287-314.[10]A.J. Bell, T. J. Sejnowski, An information-maximization approach to blind separation and blind deconvolution, Neural Computation, 1995, 7(6), 1129-1159.[11]S. Amari, A. Cichocki, H. H. Yang, A new learning algorithm for blind signal separation, in Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 1996, 657-663.[12]A.J. Bell, T. J. Sejnowski, Edges are the independent components of natural scenes, in Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 1996, 9, 831-837.
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