{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T16:04:01Z","timestamp":1774454641562,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2018AAA0101400"],"award-info":[{"award-number":["2018AAA0101400"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61991451"],"award-info":[{"award-number":["61991451"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61632019"],"award-info":[{"award-number":["61632019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61621005"],"award-info":[{"award-number":["61621005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61836008"],"award-info":[{"award-number":["61836008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DoJ\/NIJ","award":["NIJ 2018-75-CX-0032"],"award-info":[{"award-number":["NIJ 2018-75-CX-0032"]}]},{"name":"NSF","award":["OAC-1839909"],"award-info":[{"award-number":["OAC-1839909"]}]},{"DOI":"10.13039\/100017313","name":"West Virginia Higher Education Policy Commission","doi-asserted-by":"publisher","award":["HEPC.dsr.18.5"],"award-info":[{"award-number":["HEPC.dsr.18.5"]}],"id":[{"id":"10.13039\/100017313","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/jstsp.2020.3037516","type":"journal-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T21:37:53Z","timestamp":1605130673000},"page":"240-252","source":"Crossref","is-referenced-by-count":50,"title":["Accurate and Lightweight Image Super-Resolution With Model-Guided Deep Unfolding Network"],"prefix":"10.1109","volume":"15","author":[{"given":"Qian","family":"Ning","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9632-985X","authenticated-orcid":false,"given":"Weisheng","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Guangming","family":"Shi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9069-8796","authenticated-orcid":false,"given":"Leida","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2067-2763","authenticated-orcid":false,"given":"Xin","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref38","article-title":"Draw: A recurrent neural network for image generation","author":"gregor","year":"0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1561\/9781680833690"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2008.4518502"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","author":"boyd","year":"2011","journal-title":"Distributed optimization and statistical learning via the alternating direction method of multipliers"},{"key":"ref34","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref28","article-title":"Breaking the coherence barrier: Asymptotic incoherence and asymptotic sparsity in compressed sensing","author":"adcock","year":"2013","journal-title":"arXiv 1302 0561"},{"key":"ref27","first-page":"265","article-title":"On optimization methods for deep learning","author":"le","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.102"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2873610"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00328"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2235847"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"2861","DOI":"10.1109\/TIP.2010.2050625","article-title":"Image super-resolution via sparse representation","volume":"19","author":"yang","year":"0","journal-title":"IEEE Trans Image Process"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2231086"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1109\/TPAMI.2010.25","article-title":"Single-image super-resolution using sparse regression and natural image prior","volume":"32","author":"kim","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4020-z"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3021088"},{"key":"ref55","article-title":"Weight-sharing neural architecture search: A battle to shrink the optimization gap","author":"xie","year":"0"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00178"},{"key":"ref53","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref10","first-page":"286","article-title":"Image super-resolution using very deep residual channel attention networks","author":"zhang","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/757"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00344"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00399"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00243"},{"key":"ref15","author":"molnar","year":"0","journal-title":"Interpretable Machine Learning"},{"key":"ref16","first-page":"252","article-title":"Fast, accurate, and lightweight super-resolution with cascading residual network","author":"ahn","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952977"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/ab460a"},{"key":"ref19","article-title":"Deep unfolding: Model-based inspiration of novel deep architectures","author":"hershey","year":"2014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596743"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00179"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.149"},{"key":"ref45","first-page":"6510","article-title":"Compact generalized non-local network","author":"yue","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/276698.276876"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710815"},{"key":"ref43","first-page":"1673","article-title":"Non-local recurrent network for image restoration","author":"liu","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/4200690\/9359898\/9257009-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/9359898\/09257009.pdf?arnumber=9257009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:46Z","timestamp":1652194366000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9257009\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":56,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2020.3037516","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}