Abstract
In many watermarking applications, tracking the image copy ID is another requirement besides the ownership verification. Furthermore, it is a common demand to keep the original image from public accessibility during the watermark extraction process. In this paper, we propose a new watermarking method called WMica that bases on the Independent Component Analysis (ICA) technique. The proposed method employs a two-watermark embedding scheme; one watermark is to identify the ownership and the other serves as the ID for each copy of the original image. In the extraction scheme, an ICA algorithm is applied together with a down-sizing technique so that we can estimate all the watermarks without accessing the original image and the prior information about the watermarks. The new method, undergoing a variety of experiments, has shown its robustness against many salient attacks. It also exhibits a capability in image authentication.
This is a preview of subscription content, log in via an institution to check access.
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
Cox, I.J., Miller, M.L., Bloom, J.A.: Digital Watermarking, 1st edn. Morgan Kaufmann, San Francisco (2001)
Cichoki, A., Amari, S.: Adaptive blind signal and image processing. John Wiley & Sons Ltd., Chichester (2002)
Zhang, S., Rajan, P.K.: Independent component analysis of digital image watermarking. In: Proc. of IEEE International Symposium on Circuits and Systems (ISCAS 2002), vol. 3, pp. 217–220 (2002)
Gonzalez-Serrano, F.J., Molina-Bulla, H.Y., Murillo-Fuentes, J.J.: Independent component analysis applied to digital image watermarking. In: Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing, 2001 (ICASSP 2001), vol. 3, pp. 1997–2000 (2001)
Shen, M., Zhang, X., Sun, L., Beadle, P.J., Chan, F.H.Y.: A method for digital image watermarking using ICA. In: Proc. 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003, Japan, pp. 209–214 (2003)
Yu, D., Sattar, F., Ma, K.K.: Watermark detection and extraction using independent component analysis method. EURASIP Jounal on Applied Signal Processing – Special Issue on Nonlinear Signal and Image Processing 2002, 92–104 (2002)
Voloshynovskiy, S., Herrigel, A., Baumgaertner, N., Pun, T.: A stochastic approach to content adaptive digital imagewatermarking. In: Proc. of International Workshop on Information Hiding, Dresden, Germany, pp. 212–236 (1999)
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
Nguyen, V.T., Patra, J.C. (2004). Digital Image Watermarking Using Independent Component Analysis. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_46
Download citation
DOI: https://doi.org/10.1007/978-3-540-30543-9_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23985-7
Online ISBN: 978-3-540-30543-9
eBook Packages: Computer ScienceComputer Science (R0)