Bayesian image denoising using HMT models in complex Daubechies wavelet domain
复Daubechies小波域HMT模型Bayesian图像去噪*

This paper presented a Bayesian image denoising algorithm based on hidden Markov trees models in complex Daubechies wavelet domain.The complex Daubechies wavelet had some good properties such as compact support,orthogonality,symmetry and approximate linear phase.The HMT models in complex Daubechies wavelet domain capture the key features of the joint statistics of the wavelet coefficients of image.The experimental results show the presented image denoising algorithm is effective.