• Opto-Electronic Engineering
  • Vol. 42, Issue 1, 45 (2015)
ZHU Qidan*, SUN Lei, and CAI Chengtao
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2015.01.008 Cite this Article
    ZHU Qidan, SUN Lei, CAI Chengtao. Image Super-resolution with Multiple Regularized Terms[J]. Opto-Electronic Engineering, 2015, 42(1): 45 Copy Citation Text show less
    References

    [1] Freeman W T,Pasztor E C,Carmichael O T. Learning in low-level vision [J]. International Journal of Computer Vision(S0920-5691),2000,40(1):25-47.

    [2] CHANG Hong,YEUNG Dityan,XIONG Yimin. Super-resolution through neighbor embedding [C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition,Washington,DC,USA,Jun 27-Jul 2,2004:275-282.

    [3] YANG Jianchao,Wright J,Huang T,et al. Image Super-Resolution as Sparse Representation of Raw Image Patches [C]// IEEE Conference on Computer Vision and Pattern Recognition,Jun 23-28,2008:1-8.

    [4] YANG Jianchao,Wright J,Huang T,et al. Image super-resolution via sparse representation [J]. IEEE Transactions on Image Processing(S1057-7149),2010,19(11):2861-2873.

    [5] WANG Jinjun,ZHU Shenghuo,GONG Yihong. Resolution enhancement based on learning the sparse association of image patches [J]. Pattern Recognition Letters(S0167-8655),2010,31(1):1-10.

    [6] LI Min,CHENG Jian,LE Xiang,et al. Super-Resolution Based on Sparse Dictionary Coding [J]. Journal of Software,2012, 23(5):1315-1324.

    [7] WANG Shenlong,ZHANG Lei,LIANG Yan,et al. Semi-coupled dictionary learning with applications to image super-resolution and photo sketch synthesis [C]// IEEE Conference on Computer Vision and Pattern Recognition, Providence,RI,USA,Jun 16-21,2012:2216 -2223.

    [8] CHEN Shuzhen,WEI Yanxin. Image Super-resolution Reconstruction Algorithms Based on Self-similarities and Dictionary Learning [J]. Opto-Electronic Engineering,2013,40(6):106-113.

    [9] ZHANG Kaibing,GAO Xinbo,LI Xuelong,et al. Partially Supervised Neighbor Embedding for Example-Based Image Super-Resolution [J]. IEEE Journal of Selected Topics in Signal Processing(S1932-4553),2011,5(2):230-239.

    [10] Glanser D,Bagon S,Irani M. Super-resolution from a single image [C]// IEEE International Conference on Computer Vision,Kyoto,Japan,Sep 29-Oct 2,2009:349-356.

    [11] Tai Y,LIU Shuaicheng,Brown M,et al. Super resolution using edge prior and single image detail synthesis [C]// IEEE Conference on Computer Vision and Pattern Recognition,San Francisco,CA,USA,Jun 13-18,2010:2400-2407.

    [12] JIA Ping,LI Jiade,ZHANG Ye. Super-resolution reconstruction using nonlocal means [J]. Optics and Precision Engineering, 2013,21(6):1576-1585.

    [13] Roth S,Black M J. Fields of experts:A framework for learning image priors [C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition,San Diego,CA,USA,Jun 20-25,2005:860-867.

    [14] Wang Z,Bovik A C,Sheikh H R,et al. Image quality assessment:From error visibility to structural similarity [J]. IEEE Transactions on Image Processing(S1057-7149),2004,13(4):600-612.

    [15] Purkait P,Chanda B. Image up scaling using multiple dictionaries of natural image patches [C]// Asian Conference on Computer Vision,Daejeon,Korea,Nov 5-9,2013,7726:284-295.

    ZHU Qidan, SUN Lei, CAI Chengtao. Image Super-resolution with Multiple Regularized Terms[J]. Opto-Electronic Engineering, 2015, 42(1): 45
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