• Opto-Electronic Engineering
  • Vol. 37, Issue 5, 116 (2010)
XIAO Su1、*, HAN Guo-qiang1, WO Yan1, and YAO Hao-wei2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    XIAO Su, HAN Guo-qiang, WO Yan, YAO Hao-wei. An Efficient Image Denoising Algorithm[J]. Opto-Electronic Engineering, 2010, 37(5): 116 Copy Citation Text show less
    References

    [1] ZHANG Ming,Gunturk B K. Multiresolution bilateral filtering for image denoising [J]. IEEE Transactions on Image Processing (S1057-7149),2008,17(12):2324-2333.

    [2] Portilla J,Strela V,Wainwright M J,et al. Image denoising using scale mixtures of Gaussians in the wavelet domain [J]. IEEE Transactions on Image Processing (S1057-7149),2003,12(11):1338-1351.

    [3] ZHANG Bo,Fadili J M,Starck J. Wavelets,ridgelets,and curvelets for Poisson noise removal [J]. IEEE Transactions on Image Processing (S1057-7149),2008,17(7):1093-1108.

    [4] Malfait M,Roose D. Wavelet-based image denoising using a Markov random field a priori model [J]. IEEE Transactions on Image Processing (S1057-7149),1997,6(4):549-565.

    [5] Goossens B,Pizurica A,Philips W. Image denoising using mixtures of projected Gaussian scale mixtures [J]. IEEE Transactions on Image Processing (S1057-7149),2009,18(8):1689-1702.

    [6] Chan T,Marquina A,Mulet P. High-order total variation-based image restoration [J]. SIAM Journal on Scientific Computing (S1064-8275),2000,22(2):503-516.

    [7] Bioucas-Dias J M,Figueiredo M A T. A new TwIST:two-step iterative shrinkage/thresholding algorithms for image restoration [J]. IEEE Transactions on Image Processing (S1057-7149),2007,16(12):2992-3004.

    [8] WU Bin,WU Ya-dong,ZHANG Hong-ying. Image Restoration Technology Based on Variational Partial Differential Equations [M]. Beijing:Peking University Press,2008.

    [9] Babacan S D,Molina R,Katsaggelos A K. Bayesian compressive sensing using Laplace priors [J]. IEEE Transactions on Image Processing (S1057-7149),2010,19(1):53-63.

    [10] Berger J O. Staistical Decision Theory and Bayesian Analysis [M]. New York:Springer-Verlag,1985.

    [11] ZHANG Yu-jin. Image Engineering (I):Image Processing [M]. Beijing:Tsinghua University Press,2006.

    [12] Likas A C,Galatsanos N P. A variational approach for Bayesian blind image deconvolution [J]. IEEE Transactions on Signal Processing (S1053-587X),2004,52(8):2222-2233.

    [13] Kullback S. Information Theory and Statistics [M]. New York:Dover Publications,1959.

    [14] Easley G R,Labate D,Colonna F. Shearlet-based total variation diffusion for denoising [J]. IEEE Transactions on Image Processing (S1057-7149),2009,18(2):260-268.

    [15] Katsaggelos A K,Lay K T,Galatsanos N P. A general framework for frequency domain multi-channel signal processing [J]. IEEE Transactions on Image Processing (S1057-7149),1993,2(3):417-420.

    [16] WANG Yi-lun,YANG Jun-feng,YIN Wo-tao,et al. A new alternating minimization algorithm for total variation image restoration [J]. SIAM Journal on Imaging Sciences (S1936-4954),2008,1(3):248-272.

    [17] Sroubek F,Cristobal G,Flusser J. A unified approach to superresolution and multichannel blind deconvolution [J]. IEEE Transactions on Image Processing (S1057-7149),2007,16(9):2322-2332.

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    XIAO Su, HAN Guo-qiang, WO Yan, YAO Hao-wei. An Efficient Image Denoising Algorithm[J]. Opto-Electronic Engineering, 2010, 37(5): 116
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