摘要
An adaptive image watermarking algorithm based on HMM in wavelet domain is proposed. The algorithm is abstracted as follows: 1) the vector HMM model is employed to describe the statistical characteristic of image wavelet coefficients and the resulting HMM based detector achieves significant improvements in performance compared to the conventional correlation detector;2) adaptive watermark embedding based on HVS analysis; 3) a novel embedding strategy which is optimized for the HMM tree structure is adopted; 4) the strategy of dynamical threshold is applied in watermark detection. High robust results are achieved against Stirmark attacks, such as JPEG compression, adding noise, median cut and filter.
An adaptive image watermarking algorithm based on HMM in wavelet domain is proposed. The algorithm is abstracted as follows： 1） the vector HMM model is employed to describe the statistical characteristic of image wavelet coefficients and the resulting HMM based detector achieves significant improvements in performance compared to the conventional correlation detector; 2） adaptive watermark embedding based on HVS analysis; 3） a novel embedding strategy which is optimized for the HMM tree structure is adopted; 4） the strategy of dynamical threshold is applied in watermark detection. High robust results are achieved against Stirmark attacks, such as JPEG compression, adding noise, median cut and filter.
出处
《自动化学报》
EI
CSCD
北大核心
2005年第5期705-712,共8页
Acta Automatica Sinica
基金
国家自然科学基金，Foundation ofNational Education Ministry of P.R.China
