{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:59:50Z","timestamp":1760385590768,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"National Natural Science Fund","award":["61771379"],"award-info":[{"award-number":["61771379"]}]},{"name":"National Basic Research Program (973 Program) of China","award":["2013CB329402"],"award-info":[{"award-number":["2013CB329402"]}]},{"name":"Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project)","award":["B07048"],"award-info":[{"award-number":["B07048"]}]},{"name":"Program for Cheung Kong Scholars and Innovative Research Team in University","award":["IRT 15R53"],"award-info":[{"award-number":["IRT 15R53"]}]},{"name":"JSPS Grants-in-Aid for Scientific Research C","award":["15K00236"],"award-info":[{"award-number":["15K00236"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1109\/tip.2017.2768185","type":"journal-article","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T18:09:09Z","timestamp":1509386949000},"page":"1086-1099","source":"Crossref","is-referenced-by-count":7,"title":["How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4940-1211","authenticated-orcid":false,"given":"Shuang","family":"Wang","sequence":"first","affiliation":[]},{"given":"Bo","family":"Yue","sequence":"additional","affiliation":[]},{"given":"Xuefeng","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"33","article-title":"GoDec: Randomized low-rank & sparse matrix decomposition in noisy case","author":"zhou","year":"2011","journal-title":"Proc ICML"},{"key":"ref38","first-page":"399","article-title":"Learning fast approximations of sparse coding","author":"gregor","year":"2010","journal-title":"Proc ICML"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref32","first-page":"153","article-title":"Locality preserving projections","volume":"16","author":"he","year":"2004","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.08.012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.93"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref36","first-page":"318","article-title":"Generic methods for optimization-based modeling","author":"domke","year":"2012","journal-title":"Proc AISTATS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.206"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2008067"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1145\/1944846.1944852","article-title":"Image and video upscaling from local self-examples","volume":"30","author":"freedman","year":"2011","journal-title":"ACM Trans Graph"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2136352"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2462113"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/38.988747"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2192127"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.241"},{"key":"ref19","first-page":"111","article-title":"A+: Adjusted anchored neighborhood regression for fast super-resolution","author":"timofte","year":"2014","journal-title":"Proc ACCV"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.01.023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_4"},{"key":"ref27","first-page":"2618","article-title":"Low-rank matrix recovery with structural incoherence for robust face recognition","author":"chen","year":"2012","journal-title":"Proc CVPR"},{"key":"ref3","first-page":"2216","article-title":"Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis","author":"wang","year":"2012","journal-title":"Proc CVPR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2389629"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995484"},{"key":"ref5","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"Proc ECCV"},{"key":"ref8","first-page":"391","article-title":"Accelerating the super-resolution convolutional neural network","author":"dong","year":"2016","journal-title":"Proc ECCV"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12544"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref1","first-page":"1","article-title":"Image super-resolution as sparse representation of raw image patches","author":"yang","year":"2008","journal-title":"Proc CVPR"},{"journal-title":"Neat Image","year":"2016","key":"ref46"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.364"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.373"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2044061"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2221729"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2035722"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2564643"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1070.0291"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651364"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/090761793"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2284280"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8167422\/08089765.pdf?arnumber=8089765","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:25:10Z","timestamp":1642004710000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8089765\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3]]},"references-count":47,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tip.2017.2768185","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2018,3]]}}}