Optical Instruments, Volume. 41, Issue 4, 14(2019)

Deconvolution deblurring algorithm based on no-reference image quality evaluation

WANG Xiaohong1,*... HUANG Zhongqiu1, XIAO Ying2, MA Xiangcai2, GU Sicheng1 and ZHAO Yiming1 |Show fewer author(s)
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    References(21)

    [3] [3] ALANAZI A M, BALLAL T, MASOOD M, et al. Image deblurring using a perturbation-based regularization approach[C]//Proceedings of the 2017 25th European Signal Processing Conference. Kos, Greece: IEEE, 2017.

    [4] [4] Removing camera shake from a single photograph[J]. ACM Transactions on Graphics, 2006, 25(3): 787 – 794.

              FERGUS R, SINGH B, HERTZMANN A, et al.

    [5] [5] kernel estimation via deep learning[J]. IEEE Transactions on Image Processing, 2018, 27(1): 194 – 205.

              SHAN Q, JIA J Y, AGARWALA A. High-quality motion deblurring from a single image[J]. ACM Transactions on Graphics, 2008, 27(3): 73. XU X Y, PAN J S, ZHANG Y J, et al. Motion blur

    [6] [6] XU L, ZHENG S C, JIA J Y. Unnatural L0 sparse representation for natural image deblurring[C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Portland, OR, USA: IEEE, 2013: 1107. 1114.

    [7] [7] KRISHNAN D, TAY T, FERGUS R. Blind

    [8] [8] Processing Systems. Vancouver, British Columbia, Canada: Curran Associates Inc., 2009: 1033. 1041.

              deconvolution using a normalized sparsity measure[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Colorado Springs, CO, USA: IEEE, 2011: 233. 240. KRISHNAN D, FERGUS R. Fast image deconvolution using hyper-Laplacian priors[C]//Proceedings of the 22nd International Conference on Neural Information

    [9] [9] XU L, REN J S J, LIU C, et al. Deep convolutional neural network for image deconvolution[C]// Proceedings of the 27th International Conference on Neural Information Processing Systems. Montreal, Canada: MIT Press, 2014: 1790. 1798.

    [10] [10] image deblurring via blockwise non-blind deconvolution algorithm[C]//Proceedings of the 2015 10th International Conference on Information,

              SU S C, DELBRACIO M, WANG J, et al. Deep video deblurring for hand-held cameras[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, HI, USA: IEEE, 2017: 237. 246. WANG N N C, DING J J, CHEN L A, et al. Efficient

              Communications and Signal Processing. Singapore: IEEE, 2015: 1. 5.

    [11] [11] YANG G, YU Z Q, ZHANG B, et al. Evaluation of

              lightning current from magnetic field based on deconvolution method[J]. IEEE Transactions on Electromagnetic Compatibility, 2018, 60(3): 679 – 684.

    [12] [12] ZHANG J W, PAN J S, LAI W S, et al. Learning fully convolutional networks for iterative non-blind deconvolution[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, HI, USA: IEEE, 2017: 6969. 6977.

    [16] [16] HERZOG A, VOIGT K, MEYER B, et al. Psychological and interactional characteristics of patients with somatoform disorders: validation of the somatic symptoms experiences questionnaire (SSEQ) in a clinical psychosomatic population[J]. Journal of Psychosomatic Research, 2015, 78(6): 553 – 562.

    [17] [17] LIU L X, LIU B, HUANG H, et al. No-reference image quality assessment based on spatial and spectral entropies[J]. Signal Processing: Image Communication, 2014, 29(8): 856 – 863.

    [19] [19] PATAN R J, CHAKRABORTY M, DEVI S S. Blind color image de-convolution in YUV space[C]// Proceedings of International Conference on Communication and Signal Processing. Melmaruvathur, India: IEEE, 2016: 1551. 1555.

    [20] [20] ZHANG X, YANG L, CUI S L, et al. YUV-based material modeling from a single image[C]//Proceed-ings of the 2016 9th International Congress on Image and Signal Processing, Biomedical Engineering and Informatics. Datong, China: IEEE, 2017: 801. 805.

    [22] [22] ZUO W M, MENG D Y, LEI Z, et al. A generalized iterated shrinkage algorithm for non-convex sparse coding[EB/OL]. [2017-02-02]. http: //www.cv-foundation.org/openaccess/content_iccv_2013/html/Zu o_A_Generalized_Iterated_2013_ICCV_paper.html.

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    WANG Xiaohong, HUANG Zhongqiu, XIAO Ying, MA Xiangcai, GU Sicheng, ZHAO Yiming. Deconvolution deblurring algorithm based on no-reference image quality evaluation[J]. Optical Instruments, 2019, 41(4): 14

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    Paper Information

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    Received: Sep. 20, 2018

    Accepted: --

    Published Online: Nov. 5, 2019

    The Author Email: Xiaohong WANG (wang_keyan@163.com)

    DOI:10.3969/j.issn.1005-5630.2019.04.003

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