[1] [1] XU L，ZHENG S C，JIA J Y. Unnatural L0 sparse representation for natural image deblurring [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Portland: IEEE，2013: 1107-1114.

[2] [2] BAI Y C，CHEUNG G，LIU X M，et al. Graph-based blind image deblurring from a single photograph [J]. IEEE Transactions on Image Processing，2018，28(3):1404-1418.

[4] [4] PAN J S，SUN D Q，PFISTER H，et al. Blind image deblurring using dark channel prior [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas: IEEE，2016: 1628-1636.

[5] [5] SUN J，CAO W F，XU Z B，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. Boston: IEEE，2015: 769-777.

[6] [6] NAH S，HYUN K T，MU L K. Deep multi-scale convolutional neural network for dynamic scene deblurring [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu: IEEE，2017: 3883-3891.

[7] [7] TAO X，GAO H Y，SHEN X Y，et al. Scale-recurrent network for deep image deblurring [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City: IEEE，2018: 8174-8182.

[8] [8] GAO H Y，TAO X，SHEN X Y，et al. Dynamic scene deblurring with parameter selective sharing and nested skip connections [C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach: IEEE，2019: 3848-3856.

[9] [9] KUPYN O，BUDZAN V，MYKHAILYCH M，et al. DeblurGAN: blind motion deblurring using conditional adversarial networks [C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City: IEEE，2018: 8183-8192.

[10] [10] KUPYN O，MARTYNIUK T，WU J，et al. DeblurGAN-v2: deblurring (orders-of-magnitude) faster and better [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. Seoul: IEEE，2019: 8878-8887.

[11] [11] ZHANG K H，LUO W H，ZHONG Y R，et al. Deblurring by realistic blurring [C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle: IEEE，2020: 2737-2746.

[12] [12] ZHANG H G，DAI Y C，LI H D，et al. Deep stacked hierarchical multi-patch network for image deblurring [C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach: IEEE，2019: 5978-5986.

[13] [13] ZOU W B，JIANG M C，ZHANG Y C，et al. SdWNet: a straight dilated network with wavelet transformation for image deblurring [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. Montreal: IEEE，2021: 1895-1904.

[14] [14] CHO S J，JI S W，HONG J P，et al. Rethinking coarse-to-fine approach in single image deblurring [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. Montreal: IEEE，2021: 4641-4650.

[15] [15] LIU Z，LIN Y T，CAO Y，et al. Swin transformer: hierarchical vision transformer using shifted windows [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. Montreal: IEEE，2021: 10012-10022.

[16] [16] LIANG J Y，CAO J Z，SUN G L，et al. Swinir: image restoration using swin transformer [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. Montreal: IEEE，2021: 1833-1844.

[17] [17] ZAMIR S W，ARORA A，KHAN S，et al. Restormer: efficient transformer for high-resolution image restoration [C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans: IEEE，2022: 5728-5739.

[18] [18] WANG Z H，CHEN J，HOI S C H. Deep learning for image super-resolution: a survey [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence，2020，43(10): 3365-3387.

[19] [19] SHEN Z Y，WANG W G，LU X K，et al. Human-aware motion deblurring [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. Seoul: IEEE，2019: 5572-5581.

[20] [20] SETIADI D R I M. PSNR vs SSIM: imperceptibility quality assessment for image steganography [J]. Multimedia Tools and Applications，2021，80(6): 8423-8444.