{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T16:58:35Z","timestamp":1777654715562,"version":"3.51.4"},"reference-count":48,"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\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2020J01824"],"award-info":[{"award-number":["2020J01824"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2021J011005"],"award-info":[{"award-number":["2021J011005"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61601389"],"award-info":[{"award-number":["61601389"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008865","name":"Open Project of the Key Laboratory of Plasma and Magnetic Resonance in Fujian Province, Xiamen University","doi-asserted-by":"publisher","award":["20191201"],"award-info":[{"award-number":["20191201"]}],"id":[{"id":"10.13039\/501100008865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3304672","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T17:48:27Z","timestamp":1692035307000},"page":"1-12","source":"Crossref","is-referenced-by-count":14,"title":["Densely Connected Transformer With Linear Self-Attention for Lightweight Image Super-Resolution"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6713-2871","authenticated-orcid":false,"given":"Kun","family":"Zeng","sequence":"first","affiliation":[{"name":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5140-7129","authenticated-orcid":false,"given":"Hanjiang","family":"Lin","sequence":"additional","affiliation":[{"name":"Key Laboratory of Data Science and Intelligence Application, School of Computer Science and Engineering, Minnan Normal University, Zhangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4556-8257","authenticated-orcid":false,"given":"Zhiqiang","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Computer Technology, Guilin University of Electronic Technology, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0195-3260","authenticated-orcid":false,"given":"Jinsheng","family":"Fang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Data Science and Intelligence Application, School of Computer Science and Engineering, Minnan Normal University, Zhangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00280"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_16"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00428"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00352"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351084"},{"key":"ref37","article-title":"On efficient transformer-based image pre-training for low-level vision","author":"li","year":"2021","journal-title":"arXiv 2112 10175"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01539"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00082"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.514"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3204097"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3161721"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_17"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02142"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67070-2_2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19790-1_39"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref18","first-page":"1","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00061"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4020-z"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00908"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00092"},{"key":"ref47","first-page":"20343","article-title":"LAPAR: Linearly-assembled pixel-adaptive regression network for single image super-resolution and beyond","author":"li","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","first-page":"1","article-title":"Residual non-local attention networks for image restoration","author":"zhang","year":"2019","journal-title":"Proc IEEE Int Conf Learn Represent"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.149"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref44","first-page":"711","article-title":"On single image scale-up using sparse-representations","author":"zeyde","year":"2010","journal-title":"Proc Int Conf Curves Surf"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3142061"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2902431"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.206"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27178"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3160550"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-266722-0.50016-6"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10215496.pdf?arnumber=10215496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T17:50:38Z","timestamp":1695059438000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10215496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3304672","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}