• Opto-Electronic Engineering
  • Vol. 33, Issue 11, 109 (2006)
[in Chinese] and [in Chinese]
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  • [in Chinese]
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    [in Chinese], [in Chinese]. Image denoising based on dual-tree complex wavelet transform and interscale model[J]. Opto-Electronic Engineering, 2006, 33(11): 109 Copy Citation Text show less
    References

    [1] Donoho,M.Johnstone.Denoising by soft thresholding[J].IEEE Transactions on Information Theory,1995,41(3):613-627.

    [2] Donohol,M.Johnstone.Ideal spatial adaptation via wavelet shrinkage[J].Biometrika,1994,81(3):425-455.

    [3] DonohoI,M Johnstone.Adaption to unkown smoothness via wavelet shrinkage[J].Jonrnal of American statistical Accoc,1995,90(432):1200-1224.

    [4] S.G.Chang,B.Yu,M.Vetterli.Adaptive wavelet thresholding forimage denoising and compression[J].IEEE Trans.Image Processing,2000,9(9):1532-1546.

    [5] N G Kingsbury.The dual-tree complex wavelet transform:a new efficient tool for image restoration and enhancement[A].Proc.EUSIPCO 98[C].Island of Rhodes,Greek:EVRASIP,1998.319-322.

    [6] Levent S.endur,Ivan W.Selesnick.Bivariate shrinkage Functions for Wavelet-Based Denoising Exploiting lnterscale Dependency[J].IEEE Trans.Signal Processingpp,2002,50(11):2744-2756.

    [7] Kingsbury.A dual tree complex wavelet transform with improve orthogonality and symmetry properties[A].Proc.IEEE Conf.On Image Processing[C].VancouvEr:IEEE,2000,2:375-378.

    [8] Kingsbury N G.Shift invariant properties of the dual-tree complex wavelet transform[A].In:Proceedings of International Conference America Society Signal Processing 99[C].Phoenix,Arizona,USA,1999.16-19.

    [in Chinese], [in Chinese]. Image denoising based on dual-tree complex wavelet transform and interscale model[J]. Opto-Electronic Engineering, 2006, 33(11): 109
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