Optics and Precision Engineering, Volume. 22, Issue 10, 2806(2014)

Image denoising with dual-directional filter bank GSM model and non-local mean filter

LIU Qiao-hong*... LI Bin and LIN Min |Show fewer author(s)
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    References(20)

    [1] [1] DONOHO D L.De-noising by soft-thresholding[J].IEEE Trans. on Inform. Theory,1995,41(3):613-627.

    [2] [2] CHANG S G, YU B, VETTERLI M. Adaptive wavelet thresholding for image denoising and compression [J]. IEEE Transactions on Image Processing, 2000, 9(9):1532-1546.

    [3] [3] SENDUR L,SELESNICK I W. Bivariate shrinkage functions forwavelet-based exploiting interscale dependency [J]. IEEE Trans. Signal Process., 2002, 50(11):2744-2756.

    [4] [4] LUISIER F, BLU T, UNSER M. A new SURE approach to image denoising: interscale orthonormal wavelet thresholding[J]. IEEE Trans. Image Process,2007,16(3):593-606.

    [5] [5] PORTILLA J, STRELA V, WAINWRIGHT M J,et al.. Image denoising using scale mixtures of Gaussians in the wavelet domain[J]. IEEE Trans. Image Process,2003,12(11):1338-1351.

    [6] [6] PIZURICA A, PHILIPS W. Estimating the probability of the presence of a signal of interest in multiresolution single-and multiband image denoising[J]. IEEE Trans. Image Process.,2006,15(3):645-665.

    [10] [10] CANDES E. Ridgelets: Theory and Applications, Department of Statistics[M]. US Stanford University, 1998.

    [11] [11] STARCK J L,CANDES E J,DONOHO D L. The curvelet transform for image denoising[J].IEEE Trans. Image Process., 2002,21:131-141.

    [12] [12] DO M N,VETTERLI M.The Contourlet transform: an efficient directional multiresolution image representation[J].IEEE Trans. Image Process., 2005,14:2091-2106.

    [13] [13] NGUYEN T T, ORAINTARA S. The shiftable complex directional pyramid: Part I. Theoretical aspects [J]. IEEE Trans. Signal Process.,2008,56(10):4651-4660.

    [14] [14] GAO G R,XU L P,FENG D ZH.Image denoising based on the NSST domain GSM model[J].Geomatics and Information Science of Wuhan University,2013,28(7),778-782. (in Chinese)

    [15] [15] LIU SH Q,HU SH H,X Y.SAR image denosing based on complex Shearlet transform domain Gaussian mixture model[J].Acta Aeronautica et Astronautica Sinica, 2013,34(1),173-180. (in Chinese)

    [16] [16] LIU J P. Spatial-temporal fusion for flotation froth image denoising based on BLS-GSM method in curvelet domain[J]. IEEE Transactions on Electrical and Electronic Engineering,2014,9(1):31-38.

    [18] [18] BUADES A,COLL B,MOREL J M. A non-local algorithm for image denoising [C]. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR,2005: 60-65.

    [19] [19] REN W Q,WANG Y Q.GVC-based fourth-order anisotropic diffusion for image denosing[J]. Opt. Precision Eng.,2013,21(10),2714-2719. (in Chinese)

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    LIU Qiao-hong, LI Bin, LIN Min. Image denoising with dual-directional filter bank GSM model and non-local mean filter[J]. Optics and Precision Engineering, 2014, 22(10): 2806

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    Paper Information

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    Received: Mar. 20, 2014

    Accepted: --

    Published Online: Nov. 6, 2014

    The Author Email: Qiao-hong LIU (hqllqh@163.com)

    DOI:10.3788/ope.20142210.2806

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