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Dual-tree complex wavelet hidden Markov tree model for image denoising

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3 Author(s)
F. -x. Yan ; Nat. Univ. of Defense Technol., Changsha ; S. -l. Peng ; L. -z. Cheng

A new non-training complex wavelet hidden Markov tree (HMT) model, which is based on the dual-tree complex wavelet transform and a fast parameter estimation technique, is proposed for image denoising. This new model can mitigate the two problems (high computational cost and shift-variance) of the conventional wavelet HMT model simultaneously. Experiments show that the denoising approach with this new model achieves better performance than other related HMT- based image denoising algorithms.

Published in:

Electronics Letters  (Volume:43 ,  Issue: 18 )