Performance Enhancement for DWT-HMM Image Watermarking with Content-Adaptive Approach

Abstract

A DWT-HMM (hidden Markov model in wavelet domain) image watermarking algorithm with content-adaptive approach is proposed in this paper to optimized the trade-off between robustness and visual quality, which is characterized as follows: the entropy mask proposed by Watson is constructed in wavelet domain; the entropy mask and the new developed integrated HVS are used as the measures to adaptively select image components for watermarking; repeat-accumulation (RA) code with erasure and error correction is employed to synchronize the watermarked image; and a posterior HMM is utilized in watermark detection. Considerable improvement in robustness performance with the proposed adaptive algorithm is obtained over the previous DWT-HMM watermarking algorithm with stochastic embedding.

DOI: 10.1109/ICIP.2006.312591

5 Figures and Tables

Cite this paper

@article{Ni2006PerformanceEF, title={Performance Enhancement for DWT-HMM Image Watermarking with Content-Adaptive Approach}, author={Jiangqun Ni and Chuntao Wang and Jiwu Huang and Rongyue Zhang}, journal={2006 International Conference on Image Processing}, year={2006}, pages={1377-1380} }