Abstract
A basic scheme for extracting digital image watermark is proposed using independent component analysis (ICA). The algorithm in terms of fastICA is discussed and used to separate the watermark from the mixed sources. The behavior of the proposed approach with several robustness tests of the image watermark is also carried out to demonstrate that ICA technique could provide a flexible and robust system for performing digital watermark detection and extraction. The preliminary experimental results show that the proposed watermarking method is effective and robust to some possible attacks.
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
Hartung, F., Kutter, M.: Multimedia Watermarking Techniques. Proceedings of the IEEE 87(7), 1079–1107 (1999)
Comon, P.: Independent Component Analysis, a New Concept? Signal Processing 36, 287–314 (1994)
Aapo, H.: Survey on Independent Component Analysis. Neural Computing Surveys 2, 94–128 (1999)
Cardoso, J.F.: Blind Signal Separation: Statistical Principles. Proceedings of the IEEE 9(10), 2009–2026 (1998)
Yu, D., Sattar, F., Ma, K.: Watermark Detection and Extraction Using an ICA Method. EURASIP Journal on Applied Signal Processing, 92–104 (2002)
Petitcolas, F.A.P., Anderson, R.J.: Evaluation of Copyright Marking Systems. Proceedings of IEEE Multimedia Systems 1, 574–579 (1999)
Vidal, J., et al.: Causal AR Modeling Using a Linear Combination of Cumulant Slices. Signal Processing 36, 329–340 (1994)
Shen, M., Chan, F.H.Y., Sun, L., Beadle, B.J.: Parametric Bispectral Estimation of EEG Signals in Different Functional States of the Brain. IEE Proceedings in Science, Measurement and Technology 147(6), 374–377 (2000)
Hyvarinen, A., Oja, E.: A Fast-fixed Point Algorithm for Independent Component Analysis. Neural Computation, 1483–1492 (1997)
Hyvarinen, A.: Fast and Robust Fixed-point Algorithm for Independent Component Analysis. IEEE Trans. on Neural Network 10, 626–634 (1999)
Kashyap, R.L.: Robust Image Models and Their Applications. In: Hawkes, P.W. (ed.) Advances in Electronics and Electron Physics, vol. 70, pp. 79–157. Academic Press, London (1988)
Juan, R., et al.: Statistical Analysis of Watermarking Schemes for copyright Protection of Images. Proceedings of the IEEE 87(7), 1142–1166 (1999)
Petitcolas, F.A.P., Anderson, R.J., Kuhn, M.G.: Attacks on copyright marking systems. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 218–238. Springer, Heidelberg (1998)
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
Sun, L., Xu, W., Li, Z., Shen, M., Beadle, P. (2004). Effective Approach for Detecting Digital Image Watermarking via Independent Component Analysis. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_84
Download citation
DOI: https://doi.org/10.1007/978-3-540-30549-1_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24059-4
Online ISBN: 978-3-540-30549-1
eBook Packages: Computer ScienceComputer Science (R0)