Abstract
The detection errors undermine the credibility of a digital watermarking system. It is crucial to have a reliable detector such that false detection rate can be minimized before digital watermarking can be widely used in the real world. An intelligent watermark decoder using Independent Component Analysis (ICA) is proposed in this paper. The mathematical model of the detector is given in this paper. This intelligent decoder extracts a watermark correctly without using the original image. However, the accuracy of the watermarking extraction depends on the key and the statistical independence between the original image and the watermark. Experimental results have demonstrated that the proposed intelligent watermarking technique is robust against the attacks produced by Stirmark, such as cropping, filtering, image compression, rotation, scaling. It also has a good robustness against combination of several kinds of attacks. It is indicated that this new intelligent decoder has superior advantages over the existing ones in many aspects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Voloshynovskiy, S., Pereira, S., Pun, T., Eggers, J.J., Su, J.K.: Attacks on Digital Watermarks: Classification, Estimation-based attacks and benchmarks. IEEE Communications Magazine, 2–10 (August 2001)
Moulin, P.: The role of information theory in watermarking and its application to image watermarking. Signal Processing 81, 1121–1139 (2001)
Cox, I.J., Kilian, J., Leighton, T., et al.: Secure spread spectrum watermarking for multimedia. IEEE Tans. on Image Processing 6(12), 1673–1687 (1997)
Barni, M., Bartolini, F., Cappelini, V., et al.: A DCT domain system for robust image watermarking. Signal Processing 66(3), 357–372 (1998)
Hyvarinen, A., Oja, E.: Independent component analysis: a tutorial. In: Notes for International Joint Conference on Neural Networks (IJCNN 1999), Washington, D. C (1999), http://www.cis.hut.fi/projects/iac/
Yu, D., Sattar, F., Ma, K.K.: Watermark detection and extraction using independent component analysis method. EURASIP Journal on Applied Signal Processing 1, 92–104 (2002)
Buccigrossi, R.W., Aimoncelli, E.P.: Image compression via joint statistical characterization in the wavelet domain. IEEE Trans on Image Processing 8(12), 1688–1701 (1999)
Hsu, C.T., Wu, J.L.: Hidden digital watermarks in images. IEEE Transactions on Image Processing 8(1), 58–68 (1999)
Hernández Juan, R., Martín, A., Pérez-González, F.: DCT-Domain Watermarking Techniques for Still Images: Detector Performance Analysis and a New Structure. IEEE Transactions on Image Processing 9(1), 55–66 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Z., Kwong, S., Choy, M., Xiao, Ww., Zhen, J., Zhang, Jh. (2004). An Intelligent Watermark Detection Decoder Based on Independent Component Analysis. In: Kalker, T., Cox, I., Ro, Y.M. (eds) Digital Watermarking. IWDW 2003. Lecture Notes in Computer Science, vol 2939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24624-4_17
Download citation
DOI: https://doi.org/10.1007/978-3-540-24624-4_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21061-0
Online ISBN: 978-3-540-24624-4
eBook Packages: Springer Book Archive