• Opto-Electronic Engineering
  • Vol. 41, Issue 4, 69 (2014)
SHI Dawei*, FU Randi, and JIN Wei
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2014.04.011 Cite this Article
    SHI Dawei, FU Randi, JIN Wei. A Method of Infrared Nephogram Super-resolution Based on Coupled Over-completed Dictionary[J]. Opto-Electronic Engineering, 2014, 41(4): 69 Copy Citation Text show less
    References

    [1] Georgiev C G, Kozinarova G. Usefulness of satellite water vapour imagery in forecasting strong convection: A flash-flood case study [J]. Atmospheric Research(S0169-8095), 2009: 93(1/3): 295-303.

    [2] Freeman T, Jones T R, Pasztor E C. Example based superresolution [J]. IEEE Computer Graphics and Applications (S0272-1716), 2002, 22(2): 56-65.

    [3] Chang H, Yeung D, Xiong Y M. Super-resolution through neighbor embedding [C]// Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, USA, Jun 27-Jul 2, 2004, 1: 275-282.

    [4] Ni K, Kumar S, Vasconchlos N, et al. Single image superresolution based on support vector regression [C]// Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, May 14-19, 2006, 2: 601-604.

    [5] Yang J C, Wright J, Huang T S, et al. Image Super-Resolution via Sparse Representation [J]. IEEE Transactions on Image Processing(S1057-7149), 2010, 19(11): 2861-2873.

    [6] Engan K, Aase S O. Method of optimal directions for frame design [C]// Proceedings of IEEE International Conference on Acoustics, Speech and Signal Proceeding, Phoenix, A Z, 1999, 5: 2443-2446.

    [7] Aharon M, Elad M, Bruckstein A. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation [J]. IEEE Transactions on Signal Process(S1053-587X), 2006, 54(11): 4311–4322.

    [8] LU Jinzheng, ZHANG Qiheng, XU Zhiyong, et al. Image super-resolution algorithm using over-complete sparse representation [J]. System Engineering and Electronics, 2012, 34(2): 403-408.

    [9] Rebollo-Neira L , Lowe D. Optimized orthogonal matching pursuit approach [J]. IEEE Singal Processing Letters (S1070-9908), 2002, 9(4): 137-140.

    [10] WANG Baobin, WANG Yuxia. Some properties relating to stochastic gradient descent methods [J]. Journal of Mathematic (S0255-7797), 2011, 31(6): 1041-1044.

    [11] DONG Weisheng, ZHANG Lei, SHI Guangming, et al. Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization [J]. IEEE Transactions on Image Processing(S1057-7149), 2011, 20(7): 1838-1857.

    [12] Mairal J, Bach F, Ponce F, et al. Online learning for matrix factorization and sparse coding [J]. Journal of Machine Learning Research(S1532-4435), 2011, 11(1): 19-60.

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    SHI Dawei, FU Randi, JIN Wei. A Method of Infrared Nephogram Super-resolution Based on Coupled Over-completed Dictionary[J]. Opto-Electronic Engineering, 2014, 41(4): 69
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