[1] Li Anti, Wu Dingjie, Li Chenglong. Survey of autonomous collision avoidance algorithm for unmanned aerial vehicle in low altitude[J]. Electronics Optics & Control, 28, 1-8(2021).

[2] Lu Feng, Liu Huahai, Huang Changying, . Overview of target detection techniques based on deep learning[J]. Computer Systems Applications, 30, 1-13(2021).

[3] Gao Wen, Zhu Ming, He Baigen, . Overview of target tracking technology[J]. Chinese Optics, 7, 365-375(2013).

[4] [4] Krishnan D, Tay T, Fergus R, et al. Blind deconvolution using a nmalized sparsity measure[C]Proceedings of 2011 IEEE International Conference on Computer Vision Pattern Recognition, 2011: 233240.

[5] [5] Pan J, Sun D, Pfister H, et al. Blind image deblurring using dark channel pri[C]Proceedings of 2016 IEEE International Conference on Computer Vision Pattern Recognition, 2016: 16281636.

[6] Whyte O, Sivic J, Zisserman A, et al. Non-uniform deblurring for shaken images[J]. International Journal of Computer Vision, 98, 168-186(2012).

[7] Zhou Luoyu, Zhang Bao, Yang Yang. Estimation of parameter of defocused blurred image using Hough transform[J]. Infrared and Laser Engineering, 41, 2833-2837(2012).

[8] Nah S, Kim T H, Lee K M. Deep multi-scale convolutional neural network for dynamic scene deblurring[J]. IEEE Computer Vision and Pattern Recognition, 35, 257-265(2017).

[9] [9] Kupyn O, Budzan V, Mykhailych M, et al. DeblurGAN: blind motion deblurring using conditional adversarial wks[C]2018 IEEECVF Conference on Computer Vision Pattern Recognition, 2018: 81838192.

[10] [10] Tao X, Gao H, Wang Y, et al. Scalerecurrent wk f deep image deblurring[C]2018 IEEECVF Conference on Computer Vision Pattern Recognition. IEEE, 2018.

[11] [11] Kupyn O, Martyniuk T, Wu J, et al. DeblurGANv2: Deblurring (dersofMagnitude) Faster Better[C]2019 IEEECVF International Conference on Computer Vision (ICCV). IEEE, 2019.

[12] [12] Zhang K, Luo W, Zhong Y, et al. Deblurring by realistic blurring[C]2020 IEEECVF Conference on Computer Vision Pattern Recognition (CVPR). IEEE, 2020.

[13] Qi Q, Guo J, Jin W. Attention network for non-uniform deblurring[J]. IEEE Access, 8, 100044-100057(2020).

[14] [14] Howard A G, Zhu M, Chen B, et al. Mobiles: Efficient convolutional neural wks f mobile vision applications[J]. Computer Vision Pattern Recognition, 2017: 10.48550arXiv.1704.04861.

[15] [15] Woo S, Park J, Lee J Y, et al. CBAM:Convolutional block attention module[C]European Conference on Computer Vision, 2018: arXiv:1807.06521.

[16] [16] Qian P, Wu Y, Zhang X. Dense connected residual generative adversarial wk f single image deblurring[C]2021 IEEE 5th Advanced Infmation Technology, Electronic Automation Control Conference (IAEAC), 2021: 461466.

[17] [17] Lai W S, Huang J B, Hu Z, et al. A comparative studyf single image blind deblurring [C]Computer Vision Pattern Recognition, IEEE, 2016: 17011709.

[18] [18] Köhler R, Hirsch M, Mohler B, et al. Recding playback of camera shake: benchmarking blind deconvolution with a realwld database [C]Conferenceon Computer VisionECCV, 2012: 2740.