[2] [2] GONG D, YANG J, LIU L, et al. From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2017: 2319- 2328.

[3] [3] PAN J, HU Z, SU Z, et al. Deblurring text images via L0-regularized intensity and gradient prior[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. USA. IEEE, 2014: 2901-2908.

[4] [4] LI L, PAN J, LAI W S, et al. Learning a discriminative prior for blind image deblurring[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. USA:IEEE, 2018: 6616-6625.

[10] [10] HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2016: 770-778.

[15] [15] SUN J, CAO W, XU Z, et al. Learning a convolutional neural network for non-uniform motion blur removal[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. USA:IEEE, 2015: 769-777.

[16] [16] NAH S, HYUN KIM T, MU LEE K. Deep multiscale convolutional neural network for dynamic scene deblurring[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. USA:IEEE, 2017: 3883-3891.

[17] [17] TAO X, GAO H, WANG Y, et al. Scale-recurrent network for deep image deblurring [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2018: 8174-8182.

[18] [18] ZHANG H, DAI Y, LI H, et al. Deep stacked hierarchical multi-patch network for image deblurring[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2019: 5978-5986.

[21] [21] HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2018: 7132-7141.

[24] [24] WOO S, PARK J, LEE J Y, et al. CBAM: convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision (ECCV). Berlin, Heidelberg: Springer, 2018: 3-19.