Abstract
In this paper, we propose a digital watermarking scheme that is robust against geometric distortions. The proposed method uses image moment normalization and a correlation peak position modulation (CPPM) to recover geometric distortions. This mechanism is invariant to affine transform attacks and suitable for public watermarking applications, where the original image is not available for watermark extraction. In addition, CPPM ensures that there is sufficient capacity to hide specific information. We verify the robustness of our approach to rotation, scaling, and Gaussian noise attacks. The watermark can be detected with zero BER, because disadvantages disappear when CPPM is combined with image moment normalization—only the advantages of the two methods remain.
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
Hartung, F., Kutter, M.: Multimedia watermarking techniques. Proc. IEEE 87, 1079–1107 (1999)
Kim, J., Kim, N., Lee, D., Park, S., Lee, S.: Watermarking two dimensional data object identifier for authenticated distribution of digital multimedia contents. Signal Processing: Image Communication 25, 559–576 (2010)
Li, D., Kim, J.: Secure Image Forensic Marking Algorithm using 2D Barcode and Off-axis Hologram in DWT-DFRNT Domain. Applied Mathematics & Information Sciences (AMIS) 6, 513–520 (2012)
Petitcolas, F.A.P., Anderson, R.J., Kuhn, M.G.: Attacks on Copyright Marking Systems. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, p. 218. Springer, Heidelberg (1998)
Kutter, M., Petitcolas, F.A.P.: A fair benchmark for image watermarking systems. In: Electronic Imaging 1999, Security and Watermarking of Multimedia Contents, San Jose, CA, vol. 3657 (January 1999)
Cox, I.J., Linnartz, J.P.M.G.: Public watermarks and resistance to tampering. In: IEEE International Conference on Image Processing, vol. 3 (1997)
Ruanaidh, J.O., Pun, T.: Rotation, scale and translation invariant spread spectrum digital image watermarking. Signal Processing 66(III), 303–317 (1998)
Lin, C.Y., Wu, M., Bloom, J.A., Cox, I.J., Miller, M., Lui, Y.M.: Rotation, scale and translation resilient public watermarking for images. IEEE Trans. on Image Processing 9(6), 767–782 (2001)
Pereira, S., Pun, T.: Robust template matching for affine resistant image watermarks. IEEE Trans. on Image Processing 9(6), 1123–1129 (2000)
Dong, P., Brankov, J.G., Galatsanos, N.P., Yang, Y., Davoine, F.: Digital Watermarking Robust to Geometric Distortions. IEEE Transactions on Image Processing 14(12), 2140–2150 (2005)
Lu, C.-S.: Towards robust image watermarking: combining content-dependent key, moment normalization, and side-informed embedding. Signal Processing: Image Communication 20, 129–150 (2005)
Cox, I.J., Miler, M.L., Bloom, J.A.: Digital Watermarking. Morgan Kaufmann (2001)
Nah, J., Kim, J., Kim, J.: Video Forensic Marking Algorithm Using Peak Position Modulation. Applied Mathematics & Information Sciences (AMIS) 6(3S) (to be published, 2012)
Nah, J., Kim, J., Kim, J.: Image Watermarking for Identification Forgery Prevention. Journal of the Korea Contents Association 11(12) (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nah, J., Kim, J. (2012). Digital Watermarking Robust to Geometric Distortions. In: Kim, Th., Mohammed, S., Ramos, C., Abawajy, J., Kang, BH., Ślęzak, D. (eds) Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition. ICHCI WSE SIP 2012 2012 2012. Communications in Computer and Information Science, vol 342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35270-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-35270-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35269-0
Online ISBN: 978-3-642-35270-6
eBook Packages: Computer ScienceComputer Science (R0)