A RST-Invariant robust DWT-HMM watermarking algorithm incorporating zernike moments and template

Authors:
Jiangqun Ni;Chuntao Wang;Jiwu Huang;Rongyue Zhang
Affiliations:
School of Information Science and Technology, SunYat-Sen University, Guangzhou, P.R. China;School of Information Science and Technology, SunYat-Sen University, Guangzhou, P.R. China;School of Information Science and Technology, SunYat-Sen University, Guangzhou, P.R. China;School of Information Science and Technology, SunYat-Sen University, Guangzhou, P.R. China
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

Citing 6
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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.