{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T18:47:42Z","timestamp":1783018062724,"version":"3.54.6"},"reference-count":192,"publisher":"Association for Computing Machinery (ACM)","issue":"9","funder":[{"name":"BNBU Research Grant","award":["UICR0100031, UICR0700108-25 and UICR0900003"],"award-info":[{"award-number":["UICR0100031, UICR0700108-25 and UICR0900003"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["12061052"],"award-info":[{"award-number":["12061052"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region","award":["NJYT22090"],"award-info":[{"award-number":["NJYT22090"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2026,7,31]]},"abstract":"<jats:p>Single image blind motion deblurring, a cornerstone of low-level computer vision, seeks to recover a sharp image from a single blurred observation, addressing challenges posed by motion-induced degradation. This survey provides a comprehensive review of the field, spanning traditional methodologies and deep learning (DL) methods. We begin by defining the problem, outlining its significance, and tracing its research evolution. The article systematically examines traditional approaches\u2013including prior-based, edge-detection, patch-based, and specialized deblurring techniques\u2013followed by an in-depth exploration of DL-based methods, categorized into hybrid model-driven\/data-driven frameworks and fully data-driven architectures. Key datasets, loss functions, and quantitative performance evaluations of both classic and state-of-the-art methods on benchmarks are presented to offer practical insights. We conclude by summarizing advancements, identifying persistent challenges such as handling complex real-world data and computational efficiency, and proposing future research directions. This survey serves as a valuable resource for researchers, providing a holistic understanding of blind motion deblurring and fostering innovation in this dynamic domain.<\/jats:p>","DOI":"10.1145\/3785655","type":"journal-article","created":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T12:07:58Z","timestamp":1766664478000},"page":"1-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A Survey of Single Image Blind Motion Deblurring from Traditional to Deep Learning"],"prefix":"10.1145","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-6766-6606","authenticated-orcid":false,"given":"Tingting","family":"Zhang","sequence":"first","affiliation":[{"name":"Inner Mongolia University","place":["Hohhot, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3683-5867","authenticated-orcid":false,"given":"Jiawei","family":"Lu","sequence":"additional","affiliation":[{"name":"Inner Mongolia University","place":["Hohhot, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8639-233X","authenticated-orcid":false,"given":"Qiyu","family":"Jin","sequence":"additional","affiliation":[{"name":"Inner Mongolia University","place":["Hohhot, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0688-202X","authenticated-orcid":false,"given":"Tieyong","family":"Zeng","sequence":"additional","affiliation":[{"name":"Beijing Normal-Hong Kong Baptist University","place":["Zhuhai, China"]},{"name":"Guangzhou Nanfang College","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,2,25]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_7"},{"key":"e_1_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Yuang Ai Huaibo Huang Xiaoqiang Zhou Jiexiang Wang and Ran He. 2024. Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) IEEE\/CVF 25432\u201325444.","DOI":"10.1109\/CVPR52733.2024.02403"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_45"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","unstructured":"Mariana S. C. Almeida and Lu\u00cds B. Almeida. 2010. Blind and semi-blind deblurring of natural images. IEEE Transactions on Image Processing 19 1 (2010) 36\u201352. DOI:10.1109\/TIP.2009.2031231","DOI":"10.1109\/TIP.2009.2031231"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00079"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","unstructured":"Muhammad Asim Fahad Shamshad and Ali Ahmed. 2020. Blind image deconvolution using deep generative priors. IEEE Transactions on Computational Imaging 6 (2020) 1493\u20131506. DOI:10.1109\/TCI.2020.3032671","DOI":"10.1109\/TCI.2020.3032671"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_25"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Yuanchao Bai Gene Cheung Xianming Liu and Wen Gao. 2018. Graph-based blind image deblurring from a single photograph. IEEE Transactions on Image Processing 28 3 (2018) 1404\u20131418. DOI:10.1109\/TIP.2018.2874290","DOI":"10.1109\/TIP.2018.2874290"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-023-07986-4"},{"key":"e_1_3_2_11_2","unstructured":"Sajjad Amrollahi Biyouki and Hoon Hwangbo. 2023. A comprehensive survey on deep neural image deblurring. arXiv:2310.04719. Retrieved from https:\/\/arxiv.org\/abs\/2310.04719"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00306"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00237"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","unstructured":"Rafael Molina Bruno Amizic and Aggelos K. Katsaggelos. 2012. Sparse bayesian blind image deconvolution with parameter estimation. EURASIP Journal on Image and Video Processing 2012 12 (2012) 1\u201315. DOI:10.1186\/1687-5281-2012-20","DOI":"10.1186\/1687-5281-2012-20"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","unstructured":"Chengtao Cai Haiyang Meng and Qidan Zhu. 2018. Blind deconvolution for image deblurring based on edge enhancement and noise suppression. IEEE Access 6 (2018) 58710\u201358718. DOI:10.1109\/ACCESS.2018.2874980","DOI":"10.1109\/ACCESS.2018.2874980"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Jianrui Cai Wangmeng Zuo and Lei Zhang. 2020. Dark and bright channel prior embedded network for dynamic scene deblurring. IEEE Transactions on Image Processing 29 (2020) 6885\u20136897. DOI:10.1109\/TIP.2020.2995048","DOI":"10.1109\/TIP.2020.2995048"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","unstructured":"Jian-Feng Cai Hui Ji Chaoqiang Liu and Zuowei Shen. 2011. Framelet-based blind motion deblurring from a single image. IEEE Transactions on Image Processing 21 2 (2011) 562\u2013572. DOI:10.1109\/TIP.2011.2164413","DOI":"10.1109\/TIP.2011.2164413"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","unstructured":"Ayan Chakrabarti. 2016. A neural approach to blind motion deblurring. Bastian Leibe Jiri Matas Nicu Sebe and Max Welling (Eds.) Springer International Publishing Cham 221\u2013235. DOI:10.1007\/978-3-319-46487-9_14","DOI":"10.1007\/978-3-319-46487-9_14"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_2"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_38"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00184"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_36"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00027"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","unstructured":"Lei Chen Quansen Sun and Fanhai Wang. 2020. Adaptive blind deconvolution using generalized cross-validation with generalized \\(L_{p}\/L_{q}\\) norm regularization. Neurocomputing 399 (2020) 75\u201385. DOI:10.1016\/j.neucom.2020.02.091","DOI":"10.1016\/j.neucom.2020.02.091"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","unstructured":"Mingqin Chen Yuhui Quan Yong Xu and Hui Ji. 2023. Self-supervised blind image deconvolution via deep generative ensemble learning. IEEE Transactions on Circuits and Systems for Video Technology 33 2 (2023) 634\u2013647. DOI:10.1109\/TCSVT.2022.3207279","DOI":"10.1109\/TCSVT.2022.3207279"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","unstructured":"Wenbo Chen and Ligang Liu. 2024. Deblur-GS: 3D gaussian splatting from camera motion blurred images. Proceedings of the ACM in Computer Graphics and Interactive Techniques 7 1 Article 18 (2024) 15 pages. DOI:10.1145\/3651301","DOI":"10.1145\/3651301"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995568"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","unstructured":"Xiaole Chen Ruifeng Yang Chenxia Guo Shuangchao Ge Zhihong Wu and Xibin Liu. 2020. Hyper-laplacian regularized non-local low-rank prior for blind image deblurring. IEEE Access 8 (2020) 136917\u2013136929. DOI:10.1109\/ACCESS.2020.3010540","DOI":"10.1109\/ACCESS.2020.3010540"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","unstructured":"Yuantao Chen Runlong Xia Kai Yang and Ke Zou. 2023. DGCA: High resolution image inpainting via DR-GAN and contextual attention. Multimedia Tools and Applications 82 (2023) 47751\u201347771. DOI:10.1007\/s11042-023-15313-0","DOI":"10.1007\/s11042-023-15313-0"},{"key":"e_1_3_2_30_2","first-page":"29114","volume-title":"Proceedings of the Advances in Neural Information Processing Systems","volume":"36","author":"Chen Zheng","year":"2023","unstructured":"Zheng Chen, Yulun Zhang, Ding Liu, bin xia, Jinjin Gu, Linghe Kong, and Xin Yuan. 2023. Hierarchical integration diffusion model for realistic image deblurring. In Proceedings of the Advances in Neural Information Processing Systems. A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Eds.), Vol. 36, Curran Associates, Inc., 29114\u201329125. Retrieved from https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/5cebc89b113920dbff7c79854ba765a3-Paper-Conference.pdf"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","unstructured":"Zhongzhe Cheng Bing Luo Li Xu Bo Li Zheng Pei and Chao Zhang. 2023. Blind image deblurring via content adaptive method. Signal Processing: Image Communication 113 (2023) 116924. DOI:10.1016\/j.image.2023.116924","DOI":"10.1016\/j.image.2023.116924"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00902"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_38"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/1661412.1618491"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00460"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","unstructured":"Stefan Harmeling Christian J. Schuler Michael Hirsch and Bernhard Sch\u00f6lkopf. 2016. Learning to Deblur. IEEE Transactions on Pattern Analysis and Machine Intelligence 38 7 (2016) 1439\u20131451. DOI:10.1109\/TPAMI.2015.2481418","DOI":"10.1109\/TPAMI.2015.2481418"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","unstructured":"Yuning Cui Wenqi Ren Xiaochun Cao and Alois Knoll. 2024. Image restoration via frequency selection. IEEE Transactions on Pattern Analysis and Machine Intelligence 46 2 (2024) 1093\u20131108. DOI:10.1109\/TPAMI.2023.3330416","DOI":"10.1109\/TPAMI.2023.3330416"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","unstructured":"Jiangxin Dong and Jinshan Pan. 2021. Deep outlier handling for image deblurring. IEEE Transactions on Image Processing 30 (2021) 1799\u20131811. DOI:10.1109\/TIP.2020.3048679","DOI":"10.1109\/TIP.2020.3048679"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","unstructured":"Jiangxin Dong Jinshan Pan and Zhixun Su. 2017. Blur kernel estimation via salient edges and low rank prior for blind image deblurring. Signal Processing: Image Communication 58 (2017) 134\u2013145. DOI:10.1016\/j.image.2017.07.004","DOI":"10.1016\/j.image.2017.07.004"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.271"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01134"},{"key":"e_1_3_2_42_2","volume-title":"Proceedings of the International Conference on Learning Representations","author":"Dosovitskiy Alexey","year":"2021","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, and Sylvain Gelly. 2021. An image is worth 16x16 words: Transformers for image recognition at scale. In Proceedings of the International Conference on Learning Representations."},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","unstructured":"Amir Eqtedaei and Alireza Ahmadyfard. 2024. Blind image deblurring using both L0 and L1 regularization of max-min prior. Neurocomputing 592 (2024) 127727. DOI:10.1016\/j.neucom.2024.127727","DOI":"10.1016\/j.neucom.2024.127727"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","unstructured":"Amir Eqtedaei and Alireza Ahmadyfard. 2024. Coarse-to-fine blind image deblurring based on K-means clustering. The Visual Computer 40 1 (2024) 333\u2013344. DOI:10.1007\/s00371-023-02785-2","DOI":"10.1007\/s00371-023-02785-2"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","unstructured":"Xianyong Fang Qiang Zhou Jianbing Shen Christian Jacquemin and Ling Shao. 2020. Text image deblurring using kernel sparsity prior. IEEE Transactions on Cybernetics 50 3 (2020) 997\u20131008. DOI:10.1109\/TCYB.2018.2876511","DOI":"10.1109\/TCYB.2018.2876511"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","unstructured":"Esmaeil Faramarzi Dinesh Rajan and Marc P. Christensen. 2013. Unified blind method for multi-image super-resolution and single\/multi-image blur deconvolution. IEEE Transactions on Image Processing 22 6 (2013) 2101\u20132114. DOI:10.1109\/TIP.2013.2237915","DOI":"10.1109\/TIP.2013.2237915"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","unstructured":"Tony F.Chan and Chiu-Kwong Wong. 1998. Total variation blind deconvolution. IEEE Transactions on Image Processing 7 3 (1998) 370\u2013375. DOI:10.1109\/83.661187","DOI":"10.1109\/83.661187"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1141956"},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","unstructured":"David J. Field. 1994. What is the goal of sensory coding? Neural Computation 6 4 (1994) 559\u2013601. DOI:10.1162\/neco.1994.6.4.559","DOI":"10.1162\/neco.1994.6.4.559"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46672-9_81"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00397"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","unstructured":"Xianyu Ge Jing Liu Dandan Hu and Jieqing Tan. 2024. An extended sparse model for blind image deblurring. Signal Image and Video Processing 18 (2024) 1863\u20131877. DOI:10.1007\/s11760-023-02888-2","DOI":"10.1007\/s11760-023-02888-2"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","unstructured":"Xianyu Ge Jieqing Tan and Li Zhang. 2021. Blind image deblurring using a non-linear channel prior based on dark and bright channels. IEEE Transactions on Image Processing 30 (2021) 6970\u20136984. DOI:10.1109\/TIP.2021.3101154","DOI":"10.1109\/TIP.2021.3101154"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","unstructured":"Xianyu Ge Jieqing Tan Li Zhang Jing Liu and Dandan Hu. 2022. Blind image deblurring with gaussian curvature of the image surface. Signal Processing: Image Communication 100 (2022) 116531. DOI:10.1016\/j.image.2021.116531","DOI":"10.1016\/j.image.2021.116531"},{"key":"e_1_3_2_55_2","doi-asserted-by":"publisher","unstructured":"Xianyu Ge Jieqing Tan Li Zhang and Yan Qian. 2022. Blind image deconvolution via salient edge selection and mean curvature regularization. Signal Processing 190 (2022) 108336. DOI:10.1016\/j.sigpro.2021.108336","DOI":"10.1016\/j.sigpro.2021.108336"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.202"},{"key":"e_1_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.405"},{"key":"e_1_3_2_58_2","doi-asserted-by":"publisher","unstructured":"Yongde Guo and Hongbing Ma. 2019. Image blind deblurring using an adaptive patch prior. Tsinghua Science and Technology 24 2 (2019) 238\u2013248. DOI:10.26599\/TST.2018.9010123","DOI":"10.26599\/TST.2018.9010123"},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","unstructured":"Kaiming He Jian Sun and Xiaoou Tang. 2011. Single image haze removal using dark channel prior. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 12 (2011) 2341\u20132353. DOI:10.1109\/TPAMI.2010.168","DOI":"10.1109\/TPAMI.2010.168"},{"key":"e_1_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126276"},{"key":"e_1_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.6"},{"key":"e_1_3_2_62_2","doi-asserted-by":"publisher","unstructured":"Po-Wen Hsieh and Pei-Chiang Shao. 2021. Blind image deblurring based on the sparsity of patch minimum information. Pattern Recognition 109 (2021) 107597. DOI:10.1016\/j.patcog.2020.107597","DOI":"10.1016\/j.patcog.2020.107597"},{"key":"e_1_3_2_63_2","doi-asserted-by":"publisher","unstructured":"Dandan Hu Jieqing Tan Li Zhang and Xianyu Ge. 2023. Image deblurring based on enhanced salient edge selection. The Visual Computer 39 1 (2023) 281\u2013296. DOI:10.1007\/s00371-021-02329-6","DOI":"10.1007\/s00371-021-02329-6"},{"key":"e_1_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.432"},{"key":"e_1_3_2_65_2","doi-asserted-by":"publisher","unstructured":"Zhe Hu and Ming-Hsuan Yang. 2015. Learning good regions to deblur images. International Journal of Computer Vision 115 (2015) 345\u2013362. DOI:10.1007\/s11263-015-0821-1","DOI":"10.1007\/s11263-015-0821-1"},{"key":"e_1_3_2_66_2","doi-asserted-by":"publisher","unstructured":"Yinghao Huang Hongxun Yao Sicheng Zhao and Yanhao Zhang. 2017. Towards more efficient and flexible face image deblurring using robust salient face landmark detection. Multimedia Tools and Applications 76 (2017) 123\u2013142. DOI:10.1007\/s11042-015-3009-3","DOI":"10.1007\/s11042-015-3009-3"},{"key":"e_1_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247660"},{"key":"e_1_3_2_68_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01191"},{"key":"e_1_3_2_69_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01127"},{"key":"e_1_3_2_70_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01126"},{"key":"e_1_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00338"},{"key":"e_1_3_2_72_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00663"},{"key":"e_1_3_2_73_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587834"},{"key":"e_1_3_2_74_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33786-4_3"},{"key":"e_1_3_2_75_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37431-9_28"},{"key":"e_1_3_2_76_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00570"},{"key":"e_1_3_2_77_2","unstructured":"Dilip Krishnan Joan Bruna and Rob Fergus. 2013. Blind Deconvolution with Non-local Sparsity Reweighting. https:\/\/arxiv.org\/abs\/1311.4029"},{"key":"e_1_3_2_78_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995521"},{"key":"e_1_3_2_79_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00854"},{"key":"e_1_3_2_80_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00897"},{"key":"e_1_3_2_81_2","first-page":"64","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Lai Wei-Sheng","year":"2015","unstructured":"Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, and Yung-Yu Chuang. 2015. Blur kernel estimation using normalized color-line prior. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 64\u201372."},{"key":"e_1_3_2_82_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.188"},{"key":"e_1_3_2_83_2","doi-asserted-by":"publisher","unstructured":"Byeonghyeon Lee Howoong Lee Xiangyu Sun Usman Ali and Eunbyung Park. 2025. Deblurring 3D Gaussian Splatting. In Computer Vision \u2013 ECCV 2024 (Lecture Notes in Computer Science) Springer Cham 15116 (2024) 127\u2013143. DOI:10.1007\/978-3-031-73636-0_8","DOI":"10.1007\/978-3-031-73636-0_8"},{"key":"e_1_3_2_84_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206815"},{"key":"e_1_3_2_85_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995308"},{"key":"e_1_3_2_86_2","unstructured":"ChuMiao Li. 2022. A survey on image deblurring. arXiv:2202.07456. Retrieved from https:\/\/arxiv.org\/abs\/2202.07456"},{"key":"e_1_3_2_87_2","doi-asserted-by":"publisher","DOI":"10.1109\/ISDH64927.2024.00024"},{"key":"e_1_3_2_88_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25215"},{"key":"e_1_3_2_89_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00692"},{"key":"e_1_3_2_90_2","doi-asserted-by":"publisher","unstructured":"Xiaopan Li Shiqian Wu Shoulie Xie and Sos Agaian. 2024. Dynamic-clustering extreme intensity prior based blind image deblurring. Journal of Mathematical Imaging and Vision 66 1 (2024) 22\u201336. DOI:10.1007\/s10851-023-01161-y","DOI":"10.1007\/s10851-023-01161-y"},{"key":"e_1_3_2_91_2","unstructured":"Yuelong Li Mohammad Tofighi Junyi Geng Vishal Monga and Yonina C. Eldar. 2019. Deep algorithm unrolling for blind image deblurring. arXiv:1902.03493. Retrieved from https:\/\/arxiv.org\/abs\/1902.03493"},{"key":"e_1_3_2_92_2","doi-asserted-by":"publisher","unstructured":"Zhe Li Ming Yang Libo Cheng and Xiaoning Jia. 2023. Blind text image deblurring algorithm based on multi-scale fusion and sparse priors. IEEE Access 11 (2023) 16042\u201316055. DOI:10.1109\/ACCESS.2023.3245150","DOI":"10.1109\/ACCESS.2023.3245150"},{"key":"e_1_3_2_93_2","unstructured":"H. Liu B. Li C. Liu and M. Lu. 2024. DeblurDiNAT: A lightweight and effective transformer for image deblurring. arXiv:2403.13163. Retrieved from https:\/\/arxiv.org\/abs\/2403.13163"},{"key":"e_1_3_2_94_2","doi-asserted-by":"publisher","unstructured":"Jing Liu Wanning Sun and Mengjie Li. 2019. Recurrent conditional generative adversarial network for image deblurring. IEEE Access 7 (2019) 6186\u20136193. DOI:10.1109\/ACCESS.2018.2888885","DOI":"10.1109\/ACCESS.2018.2888885"},{"key":"e_1_3_2_95_2","doi-asserted-by":"publisher","unstructured":"Jing Liu Jieqing Tan Li Zhang Xianyu Ge and Dandan Hu. 2022. Blind deblurring with patch-wise second-order gradient prior. Signal Processing: Image Communication 107 (2022) 116781. DOI:10.1016\/j.image.2022.116781","DOI":"10.1016\/j.image.2022.116781"},{"key":"e_1_3_2_96_2","doi-asserted-by":"publisher","unstructured":"Jun Liu Ming Yan and Tieyong Zeng. 2021. Surface-aware blind image deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence 43 3 (2021) 1041\u20131055. DOI:10.1109\/TPAMI.2019.2941472","DOI":"10.1109\/TPAMI.2019.2941472"},{"key":"e_1_3_2_97_2","doi-asserted-by":"publisher","unstructured":"Ruyu Liu Lin Wang Jie He Jiajia Wang Jianhua Zhang Xiufeng Liu Chaochao Wang Haoyu Zhang and Sheng Dai. 2025. MSTNet: A multi-stage progressive network with local\u2013global transformer fusion for image restoration. Complex Intelligent Systems 11 1 (2025) 269. DOI:10.1007\/s40747-025-01892-y","DOI":"10.1007\/s40747-025-01892-y"},{"key":"e_1_3_2_98_2","doi-asserted-by":"publisher","unstructured":"M. Ljubenovi\u0107 and M. A. T. Figueiredo. 2019. Plug-and-play approach to class-adapted blind image deblurring. IJDAR 22 (2019) 79\u201397. DOI:10.1007\/s10032-019-00318-z","DOI":"10.1007\/s10032-019-00318-z"},{"key":"e_1_3_2_99_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01252"},{"key":"e_1_3_2_100_2","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Mao Xintian","year":"2021","unstructured":"Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei lei Shen, and Yan Wang. 2021. Intriguing findings of frequency selection for image deblurring. In Proceedings of the AAAI Conference on Artificial Intelligence. Retrieved from https:\/\/api.semanticscholar.org\/CorpusID:254069870"},{"key":"e_1_3_2_101_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_51"},{"key":"e_1_3_2_102_2","doi-asserted-by":"publisher","unstructured":"James H. Money and Sung Ha Kang. 2008. Total variation minimizing blind deconvolution with shock filter reference. Image and Vision Computing 26 2 (2008) 302\u2013314. DOI:10.1016\/j.imavis.2007.06.005","DOI":"10.1016\/j.imavis.2007.06.005"},{"key":"e_1_3_2_103_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01688"},{"key":"e_1_3_2_104_2","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00208"},{"key":"e_1_3_2_105_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.35"},{"key":"e_1_3_2_106_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.509"},{"key":"e_1_3_2_107_2","first-page":"353","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV)","author":"Nimisha Thekke Madam","year":"2018","unstructured":"Thekke Madam Nimisha, Kumar Sunil, and A. N. Rajagopalan. 2018. Unsupervised class-specific deblurring. In Proceedings of the European Conference on Computer Vision (ECCV). 353\u2013369."},{"key":"e_1_3_2_108_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_12"},{"key":"e_1_3_2_109_2","doi-asserted-by":"publisher","unstructured":"Andrew Zisserman Oliver Whyte Josef Sivic and Jean Ponce. 2012. Non-uniform Deblurring for Shaken Images. International Journal of Computer Vision 98 2 (2012) 168\u2013186. DOI:10.1007\/s11263-011-0502-7","DOI":"10.1007\/s11263-011-0502-7"},{"key":"e_1_3_2_110_2","doi-asserted-by":"publisher","unstructured":"Jinshan Pan Jiangxin Dong Yang Liu Jiawei Zhang Jimmy Ren Jinhui Tang Yu-Wing Tai and Ming-Hsuan Yang. 2021. Physics-based generative adversarial models for image restoration and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence 43 7 (2021) 2449\u20132462. DOI:10.1109\/TPAMI.2020.2969348","DOI":"10.1109\/TPAMI.2020.2969348"},{"key":"e_1_3_2_111_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.122"},{"key":"e_1_3_2_112_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_4"},{"key":"e_1_3_2_113_2","first-page":"2901","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Pan Jinshan","year":"2014","unstructured":"Jinshan Pan, Zhe Hu, Zhixun Su, and Ming-Hsuan Yang. 2014. Deblurring text images via \\(L_{0}\\) -regularized intensity and gradient prior. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2901\u20132908."},{"key":"e_1_3_2_114_2","doi-asserted-by":"publisher","unstructured":"Jinshan Pan Zhe Hu Zhixun Su and Ming-Hsuan Yang. 2017. \\(L_0\\) -regularized intensity and gradient prior for deblurring text images and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence 39 2 (2017) 342\u2013355. DOI:10.1109\/TPAMI.2016.2551244","DOI":"10.1109\/TPAMI.2016.2551244"},{"key":"e_1_3_2_115_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.306"},{"key":"e_1_3_2_116_2","doi-asserted-by":"publisher","unstructured":"Jinshan Pan Risheng Liu Zhixun Su and Xianfeng Gu. 2013. Kernel estimation from salient structure for robust motion deblurring. Signal Processing: Image Communication 28 9 (2013) 1156\u20131170. DOI:10.1016\/j.image.2013.05.001","DOI":"10.1016\/j.image.2013.05.001"},{"key":"e_1_3_2_117_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2014.6890182"},{"key":"e_1_3_2_118_2","doi-asserted-by":"publisher","unstructured":"Jinshan Pan and Zhixun Su. 2013. Fast \\(L_{0}\\) -regularized kernel estimation for robust motion deblurring. IEEE Signal Processing Letters 20 9 (2013) 841\u2013844. DOI:10.1109\/LSP.2013.2261986","DOI":"10.1109\/LSP.2013.2261986"},{"key":"e_1_3_2_119_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.180"},{"key":"e_1_3_2_120_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00619"},{"key":"e_1_3_2_121_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_20"},{"key":"e_1_3_2_122_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.372"},{"key":"e_1_3_2_123_2","doi-asserted-by":"crossref","unstructured":"Daniele Perrone and Paolo Favaro. 2016. A logarithmic image prior for blind deconvolution. International Journal of Computer Vision 117 2 (2016) 159\u2013172.","DOI":"10.1007\/s11263-015-0857-2"},{"key":"e_1_3_2_124_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6862"},{"key":"e_1_3_2_125_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00699"},{"key":"e_1_3_2_126_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00231"},{"key":"e_1_3_2_127_2","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680569"},{"key":"e_1_3_2_128_2","doi-asserted-by":"publisher","unstructured":"Xinmin Qiu Congying Han Zicheng Zhang Bonan Li Tiande Guo and Xuecheng Nie. 2023. DiffBFR: Bootstrapping diffusion model for blind face restoration. In Proceedings of the 31st ACM International Conference on Multimedia(MM \u201923). Association for Computing Machinery New York NY USA 7785\u20137795. DOI:10.1145\/3581783.3611731","DOI":"10.1145\/3581783.3611731"},{"key":"e_1_3_2_129_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00340"},{"key":"e_1_3_2_130_2","doi-asserted-by":"publisher","unstructured":"Dongwei Ren Wangmeng Zuo David Zhang Lei Zhang and Ming-Hsuan Yang. 2021. Simultaneous fidelity and regularization learning for image restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence 43 1 (2021) 284\u2013299. DOI:10.1109\/TPAMI.2019.2926357","DOI":"10.1109\/TPAMI.2019.2926357"},{"key":"e_1_3_2_131_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00984"},{"key":"e_1_3_2_132_2","doi-asserted-by":"publisher","unstructured":"Wenqi Ren Xiaochun Cao Jinshan Pan Xiaojie Guo Wangmeng Zuo and Ming-Hsuan Yang. 2016. Image deblurring via enhanced low-rank prior. IEEE Transactions on Image Processing 25 7 (2016) 3426\u20133437. DOI:10.1109\/TIP.2016.2571062","DOI":"10.1109\/TIP.2016.2571062"},{"key":"e_1_3_2_133_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_29"},{"key":"e_1_3_2_134_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_12"},{"key":"e_1_3_2_135_2","doi-asserted-by":"publisher","unstructured":"Lingyan Ruan Bin Chen Jizhou Li and Miu-Ling Lam. 2021. AIFNet: All-in-focus image restoration network using a light field-based dataset. IEEE Transactions on Computational Imaging 7 (2021) 675\u2013688. DOI:10.1109\/TCI.2021.3092891","DOI":"10.1109\/TCI.2021.3092891"},{"key":"e_1_3_2_136_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73209-6_10"},{"key":"e_1_3_2_137_2","doi-asserted-by":"publisher","unstructured":"Qi Shan Jiaya Jia and Aseem Agarwala. 2008. High-quality motion deblurring from a single image. ACM Transactions on Graphics 27 3 (2008) 1\u201310. DOI:10.1145\/1360612.1360672","DOI":"10.1145\/1360612.1360672"},{"key":"e_1_3_2_138_2","doi-asserted-by":"publisher","unstructured":"Wen-Ze Shao Hai-Bo Li and Michael Elad. 2015. Bi- \\(L_{0}\\) - \\(L_{2}\\) -norm regularization for blind motion deblurring. Journal of Visual Communication and Image Representation 33 (2015) 42\u201359. DOI:10.1016\/j.jvcir.2015.08.017","DOI":"10.1016\/j.jvcir.2015.08.017"},{"key":"e_1_3_2_139_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00516"},{"key":"e_1_3_2_140_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00862"},{"key":"e_1_3_2_141_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00567"},{"key":"e_1_3_2_142_2","doi-asserted-by":"publisher","unstructured":"Chang Jong Shin Tae Bok Lee and Yong Seok Heo. 2021. Dual image deblurring using deep image prior. Electronics 10 17 (2021). DOI:10.3390\/electronics10172045","DOI":"10.3390\/electronics10172045"},{"key":"e_1_3_2_143_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00366"},{"key":"e_1_3_2_144_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298677"},{"key":"e_1_3_2_145_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPhot.2013.6528301"},{"key":"e_1_3_2_146_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_24"},{"key":"e_1_3_2_147_2","doi-asserted-by":"publisher","unstructured":"Yibin Tang Yimei Xue Ying Chen and Lin Zhou. 2018. Blind deblurring with sparse representation via external patch priors. Digital Signal Processing 78 (2018) 322\u2013331. DOI:10.1016\/j.dsp.2018.03.017","DOI":"10.1016\/j.dsp.2018.03.017"},{"key":"e_1_3_2_148_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00853"},{"key":"e_1_3_2_149_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_9"},{"key":"e_1_3_2_150_2","first-page":"9446","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Ulyanov D.","year":"2018","unstructured":"D. Ulyanov, A. Vedaldi, and V. Lempitsky. 2018. Deep image prior. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 9446\u20139454."},{"key":"e_1_3_2_151_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00406"},{"key":"e_1_3_2_152_2","doi-asserted-by":"publisher","unstructured":"Weixi Wang Ji Li and Hui Ji. 2022. \\(L_{1}\\) -norm regularization for short-and-sparse blind deconvolution: Point source separability and region selection. SIAM Journal on Imaging Sciences 15 3 (2022) 1345\u20131372. DOI:10.1137\/21M144904X","DOI":"10.1137\/21M144904X"},{"key":"e_1_3_2_153_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"e_1_3_2_154_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01727"},{"key":"e_1_3_2_155_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01727"},{"key":"e_1_3_2_156_2","doi-asserted-by":"publisher","unstructured":"Fei Wen Rendong Ying Yipeng Liu Peilin Liu and Trieu-Kien Truong. 2021. A simple local minimal intensity prior and an improved algorithm for blind image deblurring. IEEE Transactions on Circuits and Systems for Video Technology 31 8 (2021) 2923\u20132937. DOI:10.1109\/TCSVT.2020.3034137","DOI":"10.1109\/TCSVT.2020.3034137"},{"key":"e_1_3_2_157_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01581"},{"key":"e_1_3_2_158_2","unstructured":"David Wipf and Haichao Zhang. 2013. Revisiting bayesian blind deconvolution. Journal of Machine Learning Research 15 1 (2013) 3595\u20133634."},{"key":"e_1_3_2_159_2","doi-asserted-by":"publisher","unstructured":"Wenbo Wu Lei Liu Bin Li Jingtao Wang Na Su and Yun Pan. 2025. LDeblur: A lightweight network for single image deblurring. Alexandria Engineering Journal 117 (2025) 164\u2013173. DOI:10.1016\/j.aej.2025.01.024","DOI":"10.1016\/j.aej.2025.01.024"},{"key":"e_1_3_2_160_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01204"},{"key":"e_1_3_2_161_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00258"},{"key":"e_1_3_2_162_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_12"},{"key":"e_1_3_2_163_2","doi-asserted-by":"publisher","DOI":"10.1145\/2024156.2024208"},{"key":"e_1_3_2_164_2","first-page":"1107","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Xu Li","year":"2013","unstructured":"Li Xu, Shicheng Zheng, and Jiaya Jia. 2013. Unnatural \\(L_{0}\\) sparse representation for natural image deblurring. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1107\u20131114."},{"key":"e_1_3_2_165_2","doi-asserted-by":"crossref","unstructured":"Xiaogang Xu Shu Kong Tao Hu Zhe Liu and Hujun Bao. 2024. Boosting Image Restoration via Priors from Pre-trained Models. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) IEEE\/CVF 2900\u20132909.","DOI":"10.1109\/CVPR52733.2024.00280"},{"key":"e_1_3_2_166_2","doi-asserted-by":"publisher","unstructured":"Xiangyu Xu Jinshan Pan Yu-Jin Zhang and Ming-Hsuan Yang. 2018. Motion blur kernel estimation via deep learning. IEEE Transactions on Image Processing 27 1 (2018) 194\u2013205. DOI:10.1109\/TIP.2017.2753658","DOI":"10.1109\/TIP.2017.2753658"},{"key":"e_1_3_2_167_2","doi-asserted-by":"publisher","unstructured":"Zhenhua Xu Huasong Chen and Zhenhua Li. 2020. Blind image deblurring via the weighted schatten p-norm minimization prior. Circuits Systems and Signal Processing 39 12 (2020) 6191\u20136230. DOI:10.1007\/s00034-020-01457-z","DOI":"10.1007\/s00034-020-01457-z"},{"key":"e_1_3_2_168_2","doi-asserted-by":"publisher","unstructured":"Zhenhua Xu Huasong Chen and Zhenhua Li. 2021. Fast blind deconvolution using a deeper sparse patch-wise maximum gradient prior. Signal Processing: Image Communication 90 (2021) 116050. DOI:10.1016\/j.image.2020.116050","DOI":"10.1016\/j.image.2020.116050"},{"key":"e_1_3_2_169_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.738"},{"key":"e_1_3_2_170_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01041"},{"key":"e_1_3_2_171_2","doi-asserted-by":"publisher","unstructured":"Yu-Li You and M. Kaveh. 1996. A regularization approach to joint blur identification and image restoration. IEEE Transactions on Image Processing 5 3 (1996) 416\u2013428. DOI:10.1109\/83.491316","DOI":"10.1109\/83.491316"},{"key":"e_1_3_2_172_2","doi-asserted-by":"publisher","unstructured":"XiaoYuan Yu and Wei Xie. 2020. Single image blind deblurring based on salient edge-structures and elastic-net regularization. Journal of Mathematical Imaging and Vision 62 8 (2020) 1049\u20131061. DOI:10.1007\/s10851-020-00949-6","DOI":"10.1007\/s10851-020-00949-6"},{"key":"e_1_3_2_173_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00361"},{"key":"e_1_3_2_174_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"e_1_3_2_175_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"e_1_3_2_176_2","doi-asserted-by":"publisher","unstructured":"Dongxiao Zhang Ni Tang and Yanyun Qu. 2024. Joint motion deblurring and super-resolution for single image using diffusion model and GAN. IEEE Signal Processing Letters 31 (2024) 736\u2013740. DOI:10.1109\/LSP.2024.3370491","DOI":"10.1109\/LSP.2024.3370491"},{"key":"e_1_3_2_177_2","doi-asserted-by":"publisher","unstructured":"Fengjun Zhang Wei Lu Hongmei Liu and Fei Xue. 2018. Natural image deblurring based on \\(L_{0}\\) -regularization and kernel shape optimization. Multimedia Tools and Applications 77 20 (2018) 26239\u201326257. DOI:10.1007\/s11042-018-5847-2","DOI":"10.1007\/s11042-018-5847-2"},{"key":"e_1_3_2_178_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00613"},{"key":"e_1_3_2_179_2","doi-asserted-by":"publisher","unstructured":"Hongguang Zhang Limeng Zhang Yuchao Dai Hongdong Li and Piotr Koniusz. 2023. Event-guided multi-patch network with self-supervision for non-uniform motion deblurring. International Journal of Computer Vision 131 2 (2023) 453\u2013470. DOI:10.1007\/s11263-022-01708-3","DOI":"10.1007\/s11263-022-01708-3"},{"key":"e_1_3_2_180_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00267"},{"key":"e_1_3_2_181_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00281"},{"key":"e_1_3_2_182_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00580"},{"key":"e_1_3_2_183_2","doi-asserted-by":"publisher","unstructured":"Meina Zhang Ying Yang Guoxi Ni Tingting Wu and Tieyong Zeng. 2024. Self-supervised multi-scale neural network for blind deblurring. Inverse Problems and Imaging 18 3 (2024) 623\u2013641. DOI:10.3934\/ipi.2023046","DOI":"10.3934\/ipi.2023046"},{"key":"e_1_3_2_184_2","doi-asserted-by":"publisher","unstructured":"Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong and Yun Fu. 2021. Residual dense network for image restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence 43 7 (2021) 2480\u20132495. DOI:10.1109\/TPAMI.2020.2968521","DOI":"10.1109\/TPAMI.2020.2968521"},{"key":"e_1_3_2_185_2","doi-asserted-by":"publisher","unstructured":"Youjian Zhang Chaoyue Wang Stephen J. Maybank and Dacheng Tao. 2022. Exposure trajectory recovery from motion blur. IEEE Transactions on Pattern Analysis and Machine Intelligence 44 11 (2022) 7490\u20137504. DOI:10.1109\/TPAMI.2021.3116135","DOI":"10.1109\/TPAMI.2021.3116135"},{"key":"e_1_3_2_186_2","doi-asserted-by":"publisher","unstructured":"Youjian Zhang Chaoyue Wang and Dacheng Tao. 2023. Neural maximum a posteriori estimation on unpaired data for motion deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 12 (2023) 15203\u201315218. DOI:10.1109\/TPAMI.2023.3303450","DOI":"10.1109\/TPAMI.2023.3303450"},{"key":"e_1_3_2_187_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_12"},{"key":"e_1_3_2_188_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_35"},{"key":"e_1_3_2_189_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00910"},{"key":"e_1_3_2_190_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_10"},{"key":"e_1_3_2_191_2","doi-asserted-by":"publisher","unstructured":"Zhong Zhuang Taihui Li Hengkang Wang and Ju Sun. 2024. Blind image deblurring with unknown kernel size and substantial noise. International Journal of Computer Vision 32 (2024) 319\u2013348. DOI:10.1007\/s11263-023-01883-x","DOI":"10.1007\/s11263-023-01883-x"},{"key":"e_1_3_2_192_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539941"},{"key":"e_1_3_2_193_2","doi-asserted-by":"crossref","unstructured":"Wenbin Zou Mingchao Jiang Yunchen Zhang Liang Chen Zhiyong Lu and Yi Wu. 2021. SDWNet: A straight dilated network with wavelet transformation for image deblurring. In Proceedings of the 2021 IEEE\/CVF International Conference on Computer Vision Workshops (ICCVW).1895\u20131904. https:\/\/api.semanticscholar.org\/CorpusID:238634689","DOI":"10.1109\/ICCVW54120.2021.00216"}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3785655","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T15:46:36Z","timestamp":1773330396000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3785655"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,25]]},"references-count":192,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2026,7,31]]}},"alternative-id":["10.1145\/3785655"],"URL":"https:\/\/doi.org\/10.1145\/3785655","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"value":"0360-0300","type":"print"},{"value":"1557-7341","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,25]]},"assertion":[{"value":"2024-06-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-17","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-02-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}