Abstract
A novel digital watermarking technique based on ICA image features is proposed in this paper. This new watermarking technique is provided for both high-quality visual imperceptibility and robust & effective watermark detection. An adaptive-transform approach is employed in this technique, which is different from the conventional DCT or Wavelet transformations. The learned image-adaptive ICA features with localized, oriented and band-pass characters represent similar properties exhibited by the primary and secondary visual cortexes in human vision system (HVS). It enables a powerful masking effect to hide extra information into images with very little visual changes to human eyes. The embedding and detection of watermarks on ICA coefficients whose distribution is super-Gaussian in nature are found to be effective and robust even when only a classical spread-spectrum method is used. Additionally, the adaptive watermarking on suitable images and image regions is achieved implicitly owing to the merit that the ICA bases are automatically learnt from images. The experiments of the blind image watermarking system demonstrate its advantages on good image quality and robustness under various attacks such as image compression, geometric distortion and noises, in comparison with some conventional methods.
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References
Bell, A.J., Sejnowski, T.J.: The ‘Independent Components’ of Natural Scenes are Edge Filters. Vision Research 37(23), 3327–3338 (1997)
Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: Secure Spread Spectrum Watermarking for Multimedia. IEEE Transactions on Image Processing 6(12), 1673–1687 (1997)
Xia, X.-G., Boncelet, C.G., Arce, G.R.: A Multiresolution Watermark for Digital Images. In: Proceedings of ICIP 1997, Santa Barbara, CA, USA, October 26-29, vol. I, pp. 548–551 (1997)
Noel, S., Szu, H.: Multimedia authenticity with independent-component watermarks. In: 14th Annual International Symposium on Aerospace/Defense Sensing Simulation, and Controls, Orlando, Florida (April 2000)
Yu, D., Sattar, F., Ma, K.-K.: Watermark Detection and Extraction using Independent Component Analysis Method. EURASIP Journal on Applied Signal Processing 2002(1), 92–104 (2002)
Shen, M.-F., Zhang, X.-J., Sun, L.-S., Beadle, P.J., Chan, F.H.Y.: A Method for Digital Image Watermarking Using ICA. In: 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, April 2003, pp. 209–214 (2003)
Liu, J., Zhang, X.-G., Sun, J.-D., Lagunas, M.A.: A Digital Watermarking Scheme based on ICA Detection. In: 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, April 2003, pp. 215–220 (2003)
González-Serrano, F.J., Molina-Bulla, H.Y., Murillo-Fuentes, J.J.: Independent Component Analysis applied to Digital Image Watermarking. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2001), Salt Lake City, USA, pp. 1997–2000. IEEE Press, Los Alamitos (2001)
Podilchuk, C., Zeng, W.: Image-adaptive watermarking using visual models. IEEE Journal on Selected Areas in Communications 16(4), 525–539 (1998)
Wiley, J., Olzak, L.A., Thomas, J.P.: Seeing Spatial Patterns. In: Handbook of Perception and Human Performance, University of California, Los Angeles, California. Sensory Processes and Perception, vol. 1, ch. 7 (1986)
Legge, G.E.: Spatial Frequency Masking in Human Vision: Binocular Interactions. Journal of Optical Society in America 69(6), 838–847 (1979)
Hyvarinen, A.: Fast and Robust Fixed-point Algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks 10(3), 626–634 (1999)
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Lu, W., Zhang, J., Sun, X., Okada, K. (2004). A Digital Watermarking Technique Based on ICA Image Features. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_114
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DOI: https://doi.org/10.1007/978-3-540-30110-3_114
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