Wavelet-Domain Hidden Markov Overlapping Tree Model and Artifact Evaluating
小波域隐Markov交叠树模型及块效应评价

For solving the artifact problem of wavelet-domain hidden Markov tree mode (HMT), the mechanism of artifacts is analyzed and an artifact rule for evaluating the artifacts is proposed. Then, a new hidden Markov overlap- ping tree mode (HMOLT) and a denoising algorithm based on HMOLT are developed. By extending the data dimen- sion in each node from 1 to 3 (1D) or 9 (2D), the wavelet coefficients in adjacent nodes at the same scale are overlap- ping, and so the artifacts are reduced effectively. Simulations show that the new model and the denoising algorithm perform better than HMT and HMT based denoising algorithm not only in mean square error (MSE) and the artifact rule, but also in human vision.