{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T14:18:43Z","timestamp":1772893123946,"version":"3.50.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100007053","name":"Korea Institute of Energy Technology Evaluation and Planning","doi-asserted-by":"publisher","award":["20161210200560"],"award-info":[{"award-number":["20161210200560"]}],"id":[{"id":"10.13039\/501100007053","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010193","name":"Korea Electric Power Corporation","doi-asserted-by":"publisher","award":["R17XA05-28"],"award-info":[{"award-number":["R17XA05-28"]}],"id":[{"id":"10.13039\/501100010193","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2868246","type":"journal-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T20:10:58Z","timestamp":1537560658000},"page":"49913-49924","source":"Crossref","is-referenced-by-count":107,"title":["Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image"],"prefix":"10.1109","volume":"6","author":[{"given":"Siyeong","family":"Lee","sequence":"first","affiliation":[]},{"given":"Gwon Hwan","family":"An","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4809-956X","authenticated-orcid":false,"given":"Suk-Ju","family":"Kang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","author":"klambauer","year":"2017","journal-title":"Self-Normalizing Neural Networks"},{"key":"ref38","author":"clevert","year":"2015","journal-title":"Fast and accurate deep network learning by exponential linear units (ELUs)"},{"key":"ref33","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70096-0_23"},{"key":"ref30","first-page":"649","article-title":"Colorful image colorization","author":"zhang","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref37","first-page":"30","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc ICML"},{"key":"ref36","author":"mao","year":"2016","journal-title":"Image restoration using convolutional auto-encoders with symmetric skip connections"},{"key":"ref35","year":"2018","journal-title":"High Dynamic Range Imaging"},{"key":"ref34","year":"2017","journal-title":"EMPA Media Techonlogy Dataset"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130816"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130834"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.484"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2403612"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/120891952"},{"key":"ref21","article-title":"Camera exposure determination","author":"ray","year":"2000","journal-title":"Manual of Photography Photographic and Digital Imaging"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2009.5202550"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2006.312892"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2012.02.001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366222"},{"key":"ref50","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref51","author":"mirza","year":"2014","journal-title":"Conditional generative adversarial nets"},{"key":"ref10","author":"reinhard","year":"2010","journal-title":"High Dynamic Range Imaging Acquisition Display and Image-Based Lighting"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276425"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566575"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1174429.1174489"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01541.x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-013-0875-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2014.29"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1618452.1618506"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-3036-0"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"333","DOI":"10.2352\/CIC.2006.14.1.art00061","article-title":"The reproduction of specular highlights on high dynamic range displays","author":"meylan","year":"2006","journal-title":"Proc Color Imag Conf"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276426"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref3","author":"huang","year":"2016","journal-title":"Densely Connected Convolutional Networks"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/TIP.2012.2214047","article-title":"Local edge-preserving multiscale decomposition for high dynamic range image tone mapping","volume":"22","author":"gu","year":"2013","journal-title":"IEEE Trans Image Process"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651366"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2017.7960660"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2483899"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1401132.1401174"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360668"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964935"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPhot.2013.6528315"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964936"},{"key":"ref42","year":"2018","journal-title":"HDR-Eye Dataset of High Dynamic Range Images With Eye Tracking Data"},{"key":"ref41","first-page":"152","article-title":"Consistent tone reproduction","author":"kim","year":"2008","journal-title":"Proc 10th IASTED Int Conf Comput Graph Imag (CGIM)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1117\/12.713526"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1201\/9781315119526"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08457442.pdf?arnumber=8457442","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T08:59:47Z","timestamp":1693904387000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8457442\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2868246","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}