• Opto-Electronic Engineering
  • Vol. 40, Issue 6, 106 (2013)
CHEN Shuzhen* and WEI Yanxin
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2013.06.017 Cite this Article
    CHEN Shuzhen, WEI Yanxin. Image Super-resolution Reconstruction Algorithms Based on Self-similarities and Dictionary Learning[J]. Opto-Electronic Engineering, 2013, 40(6): 106 Copy Citation Text show less
    References

    [1] Yang J, Wright J, Ma Y, et al. Image Super-resolution as Sparse Representation of Raw Image Patches [C]// Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, AK, June 23-28, 2008: 1-8.

    [2] PU Jian, ZHANG Junping, HUANG Hua. A Survey of Super Resolution Algorithms [J]. Journal of Shangdong University, 2009, 39(1): 27-32.

    [3] Rajan D, Chaudhuri S. Generalized interpolation and its application in super-resolution imaging [J]. Image and Vision Computing(S0262-8856), 2001, 19(13): 957-969.

    [4] Nguyen N, Milanfar P. A Wavelet-based Interpolation-restoration Method for Super-resolution [J]. Circuits Systems and Signal Processing(S1531-5878), 2000, 19(4): 321-338.

    [5] Irani M, Peleg S. Improving Resolution by Image Registration [J]. CVGIP: Graphical Models and Image Processing (S1049-9652), 1991, 53(3): 231-239.

    [6] Stark H, Oskoui P. High-resolution Image Recovery from Image Plane Arrays Using Convex Projections [J]. Journal of the Optical Society of America A(S1084-7529), 1989, 6(11): 1715-1726.

    [7] Freeman W T, Jones T R, Pasztor E C. Example Based Super-resolution [J]. IEEE Computer Graphics and Applications (S0272-1716), 2002, 22(3): 56-65.

    [8] Chang H, Yeung D Y, Xiong Y. Super-resolution Through Neighbor Embedding [C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Washington, D C, June 27-July 2, 2004, 1: 275-282.

    [9] Li X G, Lam K M, Qiu G P, et al. Example-based Image Super-Resolution with Class-Specific Predictors [J]. Journal of Visual Communication and Image Representation(S1047-3203), 2009, 20(5): 312-322.

    [10] Tang Y, Yan P, Yuan Y, et al. Single-image Super-resolution via Local Learning [J]. International Journal of Machine Learning and Cybernetics(S1868-8071), 2011, 2(1): 15-23.

    [11] Yang J, Wright J, Huang T, et al. Image Super-resolution via Sparse Represention [J]. IEEE Transactions on Image Processing(S1057-7149), 2010, 19(11): 2861.2873.

    [12] Zeyde R, Elad M, Protter M. On Single Image Scale-up using Sparse Representations [C]// Proceedings of the 7th International Conference on Curves and Surfaces, Avignon, France, June 24-30, 2012, 6920: 711-730.

    [13] Dong W, Zhang L, Shi G, 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.

    [14] Glasner D, Bagon S, Irani M. Super-resolution from a Single Image [C]// Proceedings of the 12th IEEE International Conference on Computer Vision, Kyoto, Japan, Sept 29-Oct 2, 2009: 349-356.

    [15] Yang C Y, Huang J B, Yang M H. Exploiting Self-Similarities for Single Frame Super-Resolution [C]// Proceedings of the 10th Asian Conference on Computer Vision, Queenstown, New Zealand, Nov 8-12, 2011: 497-510.

    [16] Zhang J, Zhao C, Xiong R, et al. Image Super-Resolution via Dual-Dictionary Learning and Sparse Representation [C]// IEEE International Symposium on Circuits and Systems, Seoul, Korea, May 20-23, 2012: 1688-1691.

    [17] Aharon M, Elad M, Bruckstein A M. The K-SVD: An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation [J]. IEEE Transaction on Signal Processing(S1053-587X), 2006, 54(11): 4311–4322.

    [18] Tropp J, Gilbert A. Signal Recovery from Random Measurements via Orthogonal Matching Pursuit [J]. IEEE Trans. Info. Theory(S0018-9448), 2007, 53(12): 4655-4666.

    [19] Buades A, Coll B, Morel J M. Non-local Image and Movie Denoising [J]. International Journal of Computer Vision (S0920-5691), 2008, 76(2): 123-139.

    [20] Tibshirani R. Regression Shrinkage and Selection via the Lasso [J]. Journal of The Royal Statistical Society Series B (S0035-9246), 1996, 58(1): 267-288.

    [21] Yang J [EB/OL]. http: //www.ifp.illinois.edu/~jyang29/codes/.

    [22] Zeyde [EB/OL]. http: //www.cs.technion.ac.il/~elad/software/.

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