{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:22:04Z","timestamp":1740169324710,"version":"3.37.3"},"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52204177","52304182"],"award-info":[{"award-number":["52204177","52304182"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2020QN49"],"award-info":[{"award-number":["2020QN49"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3314196","type":"journal-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T18:12:59Z","timestamp":1694455979000},"page":"98653-98665","source":"Crossref","is-referenced-by-count":4,"title":["Single Image Super Resolution via Multi-Attention Fusion Recurrent Network"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2873-2636","authenticated-orcid":false,"given":"Qiqi","family":"Kou","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8831-1994","authenticated-orcid":false,"given":"Deqiang","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoxiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingjing","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Guo","sequence":"additional","affiliation":[{"name":"Huawei Hangzhou Research Institute, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3345-9665","authenticated-orcid":false,"given":"He","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16817-3_8"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"wang","year":"2004","journal-title":"IEEE Trans Image Process"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2865304"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1049\/el:20080522"},{"key":"ref10","first-page":"294","article-title":"Image super-resolution using very deep residual channel attention networks","author":"zhang","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"605","DOI":"10.11834\/jig.200108","article-title":"Image super-resolution reconstruction from multi-channel recursive residual network","volume":"26","author":"cheng","year":"2021","journal-title":"J Image Graph"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref50","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3267890"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107475"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3006534"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3135501"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027849"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.03.021"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2960586"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00223"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3000684"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref7","first-page":"508","article-title":"Cubic splines for image interpolation and digital filtering","volume":"assp 26","author":"hou","year":"1978","journal-title":"IEEE Trans Acoust Speech Signal Process"},{"key":"ref9","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/1522-2594(200101)45:1<29::AID-MRM1005>3.0.CO;2-Z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3107352"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/128"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.05.066"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67070-2_3"},{"key":"ref36","first-page":"41","article-title":"Residual feature distillation network for lightweight image super-resolution","author":"jie","year":"2020","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_16"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00488"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351084"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/el.2020.0263"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1049\/ell2.12073"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2902431"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4020-z"},{"key":"ref24","first-page":"1","article-title":"Image restoration using very deep convolutional encoder&#x2013;decoder networks with symmetric skip connections","volume":"29","author":"mao","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00082"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.05.042"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Int Mach Learn (ICML)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref27","first-page":"711","article-title":"On single image scale-up using sparse-representations","author":"zeyde","year":"2010","journal-title":"Proc 7th Int Cof Curves Surf"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10247056.pdf?arnumber=10247056","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T22:20:55Z","timestamp":1730067655000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10247056\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3314196","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2023]]}}}