Laser Technology, Volume. 47, Issue 3, 360(2023)
Deblurring model of infrared image multi-scale statistics and application of prior
[1] [1] KOTERA J, FILIP S, MILANFAR P. Blind deconvolution using alternating maximum a posteriori estimation with heavy-tailed priors[C]//International Conference on Computer Analysis of Images and Patterns. Berlin, Germany: Springer Heidelberg, 2013: 59-66.
[2] [2] CHO T S, PARIS S, HORN B K P, et al. Blur kernel estimation using the radon transform[C]//2011 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Colorado, USA: IEEE, 2011: 241-248.
[3] [3] LIAO Y Zh, CAI Z X, HE X H. Fast algorithm for motion blurred image blind deconvolution[J]. Optics and Precision Engineering, 2013, 21(10): 2688-2695(in Chinese).
[6] [6] TANG Sh, WAN Sh D, YANG Sh L, et al. Spatial-scale-information method for motion blur kernel estimation[J]. Journal of Software, 2019, 30(12):3876-3891(in Chinese).
[7] [7] YU X Y, XIE W, CHEN D Q, et al. A method of motion blurry kernel estimation based on improved dark channel prior[J]. Control and Decision, 2020, 35(7):1667-1673(in Chinese).
[8] [8] JIA P, ZHANG B, SUN H. Restoration of motion-blurred aerial image[J]. Optics and Precision Engineering,2006, 14(4):697-703(in Chinese).
[10] [10] KRISHNAN D, TAY T, FERGUS R. Blind deconvolution using a normalized sparsity measure[C]//2011 IEEE Conference on Computer Vision and Pattern Recognition. Colorado, USA: IEEE, 2011: 233-240.
[11] [11] LEVIN A, WEISS Y, DURAND F, et al. Understanding blind deconvolution algorithm[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2011, 33(12): 2354-2367.
[12] [12] SUN L, CHO S, WANG J, et al. Edge-based blur kernel estimation using patch priors[C]//2013 IEEE International Conference on Computational Photography(ICCP). Cambridge, USA: IEEE, 2013: 1-8.
[13] [13] LI W H, DONG Y L, TANG Sh. Regularized blind image restoration based on muli-norm hybrid constraints[J]. Optics and Precision Engineering, 2013, 21(5): 1357-1364(in Chinese).
[14] [14] CHEN L, FANG F, LEI S, et al. Enhanced sparse model for blind deblurring[C]//2020 European Conference on Computer Vision(ECCV). Berlin, Germany: Springer Heidelberg, 2020: 631-646.
[15] [15] CHO S, LEE S. Convergence analysis of MAP based blur kernel estimation[C]//2017 IEEE International Conference on Computer Vision(ICCV). Venice, Italy: IEEE, 2017: 4818-4826.
[16] [16] YANG L, JI H. A variational EM framework with adaptive edge selection for blind motion deblurring[C]//2019 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Long Beach, USA:IEEE, 2019: 10159-10168.
[17] [17] YU B, GUO L, ZHAO T Y, et al. Adaptive hybrid bilateral filtering algorithm for infrared image[J]. Infrared and Laser Engineering, 2012, 41(11):3102-3107(in Chinese).
[18] [18] GUO P Y, ZHANG B H. Infrared background suppression algorithm based on guided filtering and fuzzy algorithm[J]. Laser Technology, 2018, 42(6): 854-858(in Chinese).
[20] [20] NIRANJAN D N, LINA J K. A no-reference image blur metric based on the cumulative probability of blur detection(CPBD)[J]. IEEE Transactions on Image Processing, 2011, 20(9): 2678-2683.
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HE Yide, ZHU Bin, JIANG Huhai, LIU Shuxin, LI Liming, HU Shaoyun. Deblurring model of infrared image multi-scale statistics and application of prior[J]. Laser Technology, 2023, 47(3): 360
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Received: Mar. 24, 2022
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Published Online: Dec. 5, 2023
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