Optics and Precision Engineering, Volume. 17, Issue 7, 1774(2009)

Image denoising using non-Gaussian bivariate model based on non-aliasing Curvelet transform

YAN He1...2,*, PAN Ying-jun1, LIU Jia-ling2 and ZHAO Ming-fu2 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(15)

    [1] [1] CANDES E J,DONOHO D L.Curvelet a surprisingly effective nonadaptive representation for object with edges[C] .C.Rabut A.Cohen,L.L.Schumaker.Curves and Surfaces.Nashville,TN:Vanderbilt University Press,2000:105-120.

    [2] [2] STACK J L,CANDES E J,DONOHO D L.The Curvelet transform for image denoising[J].IEEE Trans.on Image Processing,2002,11(6):670-684.

    [3] [3] CANDES E J,DEMANET L,DONOHO D L,et al..Fast discrete Curvelet transforms[J].Applied and Computational Mathematics,California Institute of Technology,2005:1-43.

    [5] [5] JIAO L CH,TAN SH.Development and prospect of image multiscale geometric analysis[J].ACTA.Electronic Sinca.,2003,31(12A):1975-1981.(in Chinese)

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    [8] [8] XIAO X K,LI SH F.Edge-preserving image denoising method using Curvelet transform[J].Journal of China Institute of Communications,2004,25(2):9-15.(in Chinese)

    [9] [9] KINGSBURY N G.The dual-tree complex wavelet transform:a new technique for shift invariance and directional filters[C] .IEEE Signal Processing Scoiety eds.Proceedings of the 8 th IEEE Digital Signal Processing Workshop,Bryce Canyon UT,USA,1998.

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    CLP Journals

    [1] YAN He, YU Yong-hui, ZHAO Ming-fu. Mixed statistical model image denoising based on shift-invariant non-aliasing Contourlet transform[J]. Optics and Precision Engineering, 2010, 18(10): 2269

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    YAN He, PAN Ying-jun, LIU Jia-ling, ZHAO Ming-fu. Image denoising using non-Gaussian bivariate model based on non-aliasing Curvelet transform[J]. Optics and Precision Engineering, 2009, 17(7): 1774

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    Paper Information

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    Received: Oct. 14, 2008

    Accepted: --

    Published Online: Oct. 28, 2009

    The Author Email: He YAN (cqyanhe@163.com)

    DOI:

    CSTR:32186.14.

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