{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T10:25:56Z","timestamp":1769595956361,"version":"3.49.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFC0108201"],"award-info":[{"award-number":["2017YFC0108201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2016YFC0102500"],"award-info":[{"award-number":["2016YFC0102500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFB0403700"],"award-info":[{"award-number":["2017YFB0403700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61605210"],"award-info":[{"award-number":["61605210"]}],"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":["61675226"],"award-info":[{"award-number":["61675226"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Frontier Science research project of the Chinese Academy of Sciences","award":["QYZDB-SSW-JSC03"],"award-info":[{"award-number":["QYZDB-SSW-JSC03"]}]},{"name":"Jiangsu Province Science Fund for Distinguished Young Scholars","award":["BK20160010"],"award-info":[{"award-number":["BK20160010"]}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDB32000000"],"award-info":[{"award-number":["XDB32000000"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2930329","type":"journal-article","created":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T15:20:43Z","timestamp":1563808843000},"page":"99830-99841","source":"Crossref","is-referenced-by-count":8,"title":["Enhancement of Retinal Image From Line-Scanning Ophthalmoscope Using Generative Adversarial Networks"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5468-6912","authenticated-orcid":false,"given":"Wanyue","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6836-1617","authenticated-orcid":false,"given":"Guohua","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref38","first-page":"1","article-title":"Deep multi-scale video prediction beyond mean square error","author":"mathieu","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1364\/OE.23.024699"},{"key":"ref32","first-page":"26","article-title":"Lecture 6.5-RMSPROP: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"Neural Netw Mach Learning"},{"key":"ref31","first-page":"730","article-title":"Very deep convolutional networks for large-scale image recognition","author":"liu","year":"2014","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref30","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.479"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2532323"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref34","first-page":"586","article-title":"Theu nreasonable effectiveness of deep features as a perceptual metric","author":"zhang","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr.2013.0240"},{"key":"ref40","first-page":"649","article-title":"Colorful image colorization","author":"zhang","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/ASP\/2006\/71459"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.19.5.056002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10404-1_81"},{"key":"ref14","first-page":"142","article-title":"Super-resolution via image warping","volume":"632","author":"chaudhuri","year":"2001","journal-title":"Super-Resolution Imaging"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/12.878113"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2003.1203207"},{"key":"ref17","first-page":"1","article-title":"Super-resolution via deep learning","author":"hayat","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref18","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref28","first-page":"1","article-title":"Face super-resolution through Wasserstein GANs","author":"chen","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxm075"},{"key":"ref27","first-page":"1","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2009.5193030"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2871626"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2017.2671360"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_33"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr.2015.0444"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2005.1529888"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1117\/1.2335470"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2560148"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1364\/AO.26.001492"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451714"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5075612"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_44"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2010.2043888"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3788\/COL201311.021101"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2000.899374"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1364\/BIOMED.2014.BT3A.30"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2700627"},{"key":"ref25","first-page":"979","article-title":"Differential data augmentation techniques for medical imaging classification tasks","volume":"2017","author":"hussain","year":"2017","journal-title":"Proc AMIA Annu Symp"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08768363.pdf?arnumber=8768363","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:30Z","timestamp":1641987090000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8768363\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2930329","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}