Abstract
In this paper, a coarse to fine strategy is presented to achieve the geometrical synchronization incorporating Zernike moments and the template. At the coarse stage, the rotation and scaling parameters are estimated with Zernike moments of the translation-normalized image, while the translation parameters are estimated with the centroid’s increments between the original image and the image that is corrected for rotation and scaling. At the fine stage, the accurate Rotation, Scaling and Translation (RST) parameters are obtained by matching the template around the roughly estimated RST values. A watermarking scheme based on the vector Hidden Markov Model in wavelet domain (DWT-HMM) is also adopted. High robustness is observed against geometric manipulations and other StirMark attacks in our simulations.
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References
Cox, J., Miller, M.L., Bloom, J.A.: Digital Watermarking. Electronics and Industry Publishing Company, PRC, 5 (2003)
Licks, V., Jordan, R.: Geometric Attacks on Image Watermarking Systems: A Survey (2003) (submitted to Journal Publication)
[online], http://www.eece.unm.edu/~licks/texts/publications.htm
Khotanzad, Hong, Y.H.: Invariant Image Recognition by Zernike Moments. IEEE Trans. on Patter Analysis and Machine Intelligence 12(5) (May 1990)
Zhang, R., Ni, J., Huang, J.: A robust multi-bit image watermarking based on HMM in the wavelet domain (accepted by the Chinese Trans. on Software)
Do, M.N., Vetterli, M.: Rotation Invariant Texture Characterization and Retrieval using Steerable Wavelet-domain Hidden Markov Models. IEEE Transactions on Multimedia 4(4), 517–527 (2002)
Kang, X., Huang, J., Shi, Y.Q., Lin, Y.: A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression. IEEE Trans. On Circuit and Systems for Video Technology 13(8) (August 2003)
Kim, W.-Y., Kim, Y.-S.: Robust rotation angle estimator. IEEE Trans. on Patter Analysis and Machine Intelligence 21(8) (August 1999)
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© 2005 Springer-Verlag Berlin Heidelberg
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Ni, J., Wang, C., Huang, J., Zhang, R. (2005). A RST-Invariant Robust DWT-HMM Watermarking Algorithm Incorporating Zernike Moments and Template. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_176
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DOI: https://doi.org/10.1007/11552413_176
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28894-7
Online ISBN: 978-3-540-31983-2
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