• Infrared and Laser Engineering
  • Vol. 35, Issue 2, 234 (2006)
[in Chinese]1、*, [in Chinese]1, and [in Chinese]2
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  • 1[in Chinese]
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    [in Chinese], [in Chinese], [in Chinese]. Contourlet based image denoising using non-Gaussian bivariate model[J]. Infrared and Laser Engineering, 2006, 35(2): 234 Copy Citation Text show less
    References

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    [2] WANG Sheng-qian,ZOU Dao-wen,DENG Cheng-zhi.Wavelet shrinkage threshold based on image singularity[C]//Int Conf Wavelet Analysis and Its Applications,Chongqing,2004:180-184.

    [5] DO M N,VETTERLI M.The contourlet transform:an efficient directional multiresolurion image representation[J].IEEE Transactions on Image Processing,2005,14(12):2091-2106.

    [6] Duncan D Y P,Minh N D.Directional Multiscale Modeling of Images using the Contourlet Transform[C]//In Statistical Signal Processing,IEEE Workshop,2003:262-265.

    [7] RAY S,MALLICK B K.A Bayesian transformation model for wavelets[J].IEEE Transactions on Image Processing,2003,12(12):1512-1521.

    [8] SENDUR L,SELESNICK I W.Bivariate shrinkage functions for wavelet based denoising exploiting interscale dependency[J].IEEE Trans Signal Processing,2002,50(11):2744-2756.

    [9] DONOHO D L,JOHNSTONE I M.Ideal spatial adaptation by wavelet shiinkage[J].Biometrika,1994,81 (3):425-455.

    [in Chinese], [in Chinese], [in Chinese]. Contourlet based image denoising using non-Gaussian bivariate model[J]. Infrared and Laser Engineering, 2006, 35(2): 234
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