In this paper, a new image denoising method which is based on the uHMT(universal Hidden Markov Tree) model inthe wavelet domain is proposed. The MAP (Maximum a Posteriori) estimate is adopted to deal with the ill-conditionedproblem (such as image denoising) in the wavelet domain. The uHMT model in the wavelet domain is applied to constructa prior model for the MAP estimate. By using the optimization method Conjugate Gradient, the closest approximation tothe true result is achieved. The results show that images restored by our method are much better and sharper than othermethods not only visually but also quantitatively.
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