Opto-Electronic Engineering, Volume. 43, Issue 12, 126(2016)

A Method of Infrared Nephogram Super-resolution Based on Structural Group Sparse Representation

ZHOU Ying, FU Randi, YAN Wen, ZHOU Feng, and JIN Wei
Author Affiliations
  • [in Chinese]
  • show less
    References(15)

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

    [3] [3] PAN Zongxu,YU Jing,XIAO Chuangbai,et al. Single Image Super Resolution Based on Adaptive Multi-Dictionary Learning [J]. Acta Electronica Sinica,2015,43(2):209-216.

    [4] [4] LIAN Qiusheng,SHI Baoshun,CHEN Shuzhen. Research Advances on Dictionary Learning Models,Algorithms and Applications [J]. Acta Automatica Sinica,2015,41(2):240-260.

    [5] [5] YANG Jianchao,John W,Thomas H,et al. Image Super-Resolution via Sparse Representation [J]. IEEE Transactions on Image Processing:a Publication of the IEEE Signal Processing Society(S1057-7149),2010,19(11):2861-2873.

    [6] [6] Zeyde R,Elad M,Protter M. On Single Image Scale-Up Using Sparse-Representations [C]// Proceedings of International Conference on Curves and Surfaces,Springer-Verlag,2010:711-730.

    [7] [7] DENG Chengzhi,TIAN Wei,CHEN Pan,et al. Infrared Image Super-resolution via Locality-constrained Group Sparse Model [J]. Acta Physica Sinica,2014,63(4):044202-1-044202-8.

    [8] [8] 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:a Publication of the IEEE Signal Processing Society(S1057-7149),2011,20(7):1838-1857.

    [9] [9] DONG Weisheng,ZHANG Lei,Lukac R,et al. Sparse Representation Based Image Interpolation with Nonlocal Autoregressive Modeling [J]. IEEE Transactions on Image Processing(S1057-7149),2013,22(4):1382-1394.

    [10] [10] ZHANG Jian,ZHAO Debin,GAO Wen. Group-based Sparse Representation for Image Restoration [J]. IEEE Transactions on Image Processing:a Publication of the IEEE Signal Processing Society(S1057-7149),2014,23(8):3336-3351.

    [11] [11] Zoran D,Weiss Y. From Learning Models of Natural Image Patches to Whole Image Restoration [C]// Proceedings of IEEE International Conference on Computer Vision,Barcelona,Spain,Nov 6-13,2011:479-486.

    [12] [12] Papyan V,Elad M. Multi-Scale Patch-Based Image Restoration [J]. IEEE Transactions on Image Processing:a Publication of the IEEE Signal Processing Society(S1057-7149),2016,25(1):249-261.

    [13] [13] YUE Jia ,WANG Shitong. Algorithm EM and Its Initialization in Gaussian-Mixture-Model Based Clustering [J]. Microcomputer Information,2006,22(11-3):244-246.

    [14] [14] Candes E J,Wakin M B,Boyd S P. Enhancing Sparsity by Reweighted L1 Minimization [J]. Journal of Fourier Analysis & Applications(S1069-5869),2007,14(5/6):877-905.

    [15] [15] Daubechies I,Defrise M,Mol C D. An Iterative Thresholding Algorithm for Linear Inverse Problems with a Sparsity Constraint [J]. Communications on Pure & Applied Mathematics(S0010-3640),2003,57(11):1413–1457.

    Tools

    Get Citation

    Copy Citation Text

    ZHOU Ying, FU Randi, YAN Wen, ZHOU Feng, JIN Wei. A Method of Infrared Nephogram Super-resolution Based on Structural Group Sparse Representation[J]. Opto-Electronic Engineering, 2016, 43(12): 126

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: May. 26, 2016

    Accepted: --

    Published Online: Dec. 30, 2016

    The Author Email:

    DOI:10.3969/j.issn.1003-501x.2016.12.020

    Topics