• Infrared and Laser Engineering
  • Vol. 44, Issue 5, 1666 (2015)
Xiao Zhongjie1、2、* and Liu Yonglin1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    Xiao Zhongjie, Liu Yonglin. Image blind restoration using priors of sharp images[J]. Infrared and Laser Engineering, 2015, 44(5): 1666 Copy Citation Text show less
    References

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

    [2] Wu Zhenyu, Du Shaojun, Yao Hongli. Restoration and identification of defocus blurred image based on in-focus degree[J]. Infrared and Laser Engineering, 2011, 40(4): 772-776. (in Chinese)

    [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)

    [4] A Torralba, A Oliva. Statistics of natural image categories[J].Network: Computation in Neural Systems, 2003, 14: 391-412.

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

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

    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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