Infrared and Laser Engineering, Volume. 34, Issue 2, 232(2005)
Denoising method based on Wavelet-Domain Classified Hidden Markov Tree Model
In order to adapt spatial nonstationary character of an image, a denoising method based on Wavelet-Domain Classified Hidden Markov Tree Model(CHMT) is proposed.In this method,image's coefficients of every scale and subband are divided into C groups to emphasize the spatial nonstationary character,so that one image corresponds with C HMTs.Then these coefficients are initialized,trained by EM algorithm and inverse-transformed.Test result shows that this method improves image quality(PSNR) obviously while calculation doesn′t add.
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[in Chinese], [in Chinese], [in Chinese]. Denoising method based on Wavelet-Domain Classified Hidden Markov Tree Model[J]. Infrared and Laser Engineering, 2005, 34(2): 232