• Infrared and Laser Engineering
  • Vol. 34, Issue 2, 232 (2005)
[in Chinese]*, [in Chinese], and [in Chinese]
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  • [in Chinese]
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    DOI: Cite this Article
    [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 Copy Citation Text show less

    Abstract

    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.
    [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
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