{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T18:32:22Z","timestamp":1775241142166,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["U19B2037"],"award-info":[{"award-number":["U19B2037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61871328"],"award-info":[{"award-number":["61871328"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61901384"],"award-info":[{"award-number":["61901384"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017596","name":"Natural Science Basic Research Program of Shaanxi","doi-asserted-by":"publisher","award":["2023-JC-QN-0685"],"award-info":[{"award-number":["2023-JC-QN-0685"]}],"id":[{"id":"10.13039\/501100017596","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["D5000220444"],"award-info":[{"award-number":["D5000220444"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tip.2023.3251029","type":"journal-article","created":{"date-parts":[[2023,5,15]],"date-time":"2023-05-15T18:59:20Z","timestamp":1684177160000},"page":"2857-2866","source":"Crossref","is-referenced-by-count":32,"title":["SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1010-3540","authenticated-orcid":false,"given":"Qingsen","family":"Yan","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2668-9630","authenticated-orcid":false,"given":"Dong","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia"}]},{"given":"Pei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"}]},{"given":"Zhen","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Adelaide, Adelaide, SA, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2977-8057","authenticated-orcid":false,"given":"Yanning","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9126-2107","authenticated-orcid":false,"given":"Javen Qinfeng","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Adelaide, Adelaide, SA, Australia"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00397"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00853"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00366"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00460"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6862"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_20"},{"key":"ref16","article-title":"BANet: Blur-aware attention networks for dynamic scene deblurring","author":"tsai","year":"2021","journal-title":"arXiv 2101 07518"},{"key":"ref19","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00027"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00089"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-011-0502-7"},{"key":"ref45","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"loshchilov","year":"2016","journal-title":"arXiv 1608 03983"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00854"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547962"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00025"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00251"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00267"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.35"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_14"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00613"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.184"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.202"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.405"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298677"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref35","article-title":"LocalViT: Bringing locality to vision transformers","author":"li","year":"2021","journal-title":"arXiv 2104 05707"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref31","first-page":"1790","article-title":"Deep convolutional neural network for image deconvolution","volume":"27","author":"xu","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.180"},{"key":"ref33","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.392"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126276"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref38","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360672"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1141956"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.147"},{"key":"ref25","first-page":"1033","article-title":"Fast image deconvolution using hyper-Laplacian priors","volume":"22","author":"krishnan","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/83.661187"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206815"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2875352"},{"key":"ref28","first-page":"1","article-title":"Edge-based blur kernel estimation using patch priors","author":"sun","year":"2013","journal-title":"Proc IEEE Int Conf Comput Photography (ICCP)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995521"},{"key":"ref29","first-page":"64","article-title":"Blur kernel estimation using normalized color-line priors","author":"lai","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9991910\/10124841.pdf?arnumber=10124841","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:28:17Z","timestamp":1687199297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10124841\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/tip.2023.3251029","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}