Infrared and Laser Engineering, Volume. 44, Issue 5, 1666(2015)

Image blind restoration using priors of sharp images

Xiao Zhongjie1,2、* and Liu Yonglin1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(9)

    [1] [1] Sunghyun Cho, Jue Wang, Seungyong Lee. Handling outliers in non-blind image deconvolution[C]// ICCV, 2011: 495-502.

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    [3] [3] Li Siwen, Xu Chao, Liu Guangrong, et al. High resolution restoration algorithm of atmospheric turbulence blurred image[J]. Infrared and Laser Engineering, 2013, 42(12): 3486-3490. (in Chinese)

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    [5] [5] Li Dongxing, Zhao Yan, Xu Dong. Algorithm of blur identification and image restoration based on parameter estimation[J]. Infrared and Laser Engineering, 2010, 39(1): 166-172. (in Chinese)

    [6] [6] J M Bioucas, M A T Figueiredo. A new TwIST: two-step iterative shrinkage thresholding algorithms for image restoration[J]. IEEE Trans on Image Processing, 2007, 16: 2992-3004.

    [7] [7] I Daubechies, R Devore, M Fornasier, et al. Iteratively reweighted least squares minimization for sparse recovery[J].Communications on Pure and Applied Mathematics, 2010, 63(1): 1-38.

    [8] [8] A Levin, Y Weiss, F Durand, et al. Efficient marginal likelihood optimization in blind deconvolution[C]//CVPR, 2011: 2657-2664.

    [9] [9] D Krishnan, T Terence, F Rob. Blind deconvolution using a normalized sparsity measure[C]//CVPR, 2011: 233-240.

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    Xiao Zhongjie, Liu Yonglin. Image blind restoration using priors of sharp images[J]. Infrared and Laser Engineering, 2015, 44(5): 1666

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    Paper Information

    Category: 信息处理

    Received: Sep. 7, 2014

    Accepted: Oct. 12, 2014

    Published Online: Jan. 26, 2016

    The Author Email: Zhongjie Xiao (fjxz@126.com)

    DOI:

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