{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:17:49Z","timestamp":1774369069840,"version":"3.50.1"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) through the Basic Science Research Program","doi-asserted-by":"publisher","award":["NRF-2019R1F1A1041123"],"award-info":[{"award-number":["NRF-2019R1F1A1041123"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) through the Basic Science Research Program","doi-asserted-by":"publisher","award":["NRF-2019R1A2C1083813"],"award-info":[{"award-number":["NRF-2019R1A2C1083813"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) through the Basic Science Research Program","doi-asserted-by":"publisher","award":["NRF-2020R1A2C1006179"],"award-info":[{"award-number":["NRF-2020R1A2C1006179"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2988931","type":"journal-article","created":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T19:46:51Z","timestamp":1587412011000},"page":"75741-75760","source":"Crossref","is-referenced-by-count":14,"title":["Region-Based Removal of Thermal Reflection Using Pruned Fully Convolutional Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1456-5697","authenticated-orcid":false,"given":"Ganbayar","family":"Batchuluun","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6859-9855","authenticated-orcid":false,"given":"Na Rae","family":"Baek","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6029-6849","authenticated-orcid":false,"given":"Dat Tien","family":"Nguyen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0355-4995","authenticated-orcid":false,"given":"Tuyen Danh","family":"Pham","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1214-9510","authenticated-orcid":false,"given":"Kang Ryoung","family":"Park","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Shift-net: Image inpainting via deep feature rearrangement","author":"yan","year":"2018","journal-title":"arXiv 1801 09392"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00427"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.728"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-013-0570-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/URAI.2013.6677407"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/s16071010"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00895"},{"key":"ref36","article-title":"Free-form image inpainting with gated convolution","author":"yu","year":"2018","journal-title":"arXiv 1806 03589"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref34","article-title":"Region normalization for image inpainting","author":"yu","year":"2019","journal-title":"arXiv 1911 10375"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ACVMOT.2005.14"},{"key":"ref62","author":"miezianko","year":"0","journal-title":"TerravIC research infrared database—Terravic facial infrared database"},{"key":"ref61","author":"abidi","year":"0","journal-title":"DOE University Research Program in Robotics Under Grant DOE-DE-FG02-86NE37968 DOD\/TACOM\/NAC\/ARC Program Under Grant R01-1344-18 FAA\/NSSA Grant R01-1344-48\/49 Office of Naval Research Under Grant #N000143010022"},{"key":"ref63","author":"miezianko","year":"0","journal-title":"TerravIC research infrared database—Terravic motion infrared database"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.02.016"},{"key":"ref64","author":"miezianko","year":"0","journal-title":"Terravic research infrared database—Terravic weapon infrared database"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2876890"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2013.12.012"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2014.02.005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.03.052"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.39"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301291"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00891"},{"key":"ref2","article-title":"Unsupervised image-to-image translation with generative adversarial networks","author":"dong","year":"2017","journal-title":"arXiv 1701 02676"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21611\/qirt.2006.065"},{"key":"ref20","article-title":"Object tracking for surveillance applications using thermal and visible band video data fusion","author":"beyan","year":"2010"},{"key":"ref22","first-page":"447","article-title":"Study of robust and intelligent surveillance in visible and multi-modal framework","volume":"31","author":"kumar","year":"2007","journal-title":"Informatica"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/11949619_47"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/s150510580"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCI.2012.6158805"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/s16040453"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/s150306763"},{"key":"ref50","author":"horn","year":"2013","journal-title":"Matrix Analysis"},{"key":"ref51","year":"2019","journal-title":"NVIDIA TITAN X"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1186\/s41074-017-0038-z"},{"key":"ref58","author":"salomon","year":"2006","journal-title":"Data Compression The Complete Reference"},{"key":"ref57","author":"stathaki","year":"2008","journal-title":"Image Fusion Algorithms and Applications"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref55","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref54","author":"lehmann","year":"1998","journal-title":"Theory of Point Estimation"},{"key":"ref53","year":"2019","journal-title":"Opencv Open Source Computer Vision"},{"key":"ref52","year":"2019","journal-title":"Keras The Python deep learning library"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref11","first-page":"287","article-title":"Identification and suppression of thermal reflections in infrared thermal imaging","author":"henke","year":"2004","journal-title":"Proc Inframation"},{"key":"ref40","article-title":"PEPSI++: Fast and lightweight network for image inpainting","author":"shin","year":"2019","journal-title":"arXiv 1905 09010"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2957532"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5220\/0005955801580165"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/OE.26.016488"},{"key":"ref15","year":"2019","journal-title":"Uncooled Detectors for Thermal Imaging Cameras"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2006.06.010"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1333872"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCRD.2010.163"},{"key":"ref4","article-title":"Triangle generative adversarial networks","author":"gan","year":"2017","journal-title":"arXiv 1709 06548"},{"key":"ref3","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"arXiv 1703 00848"},{"key":"ref6","article-title":"Learning to discover cross-domain relations with generative adversarial networks","author":"kim","year":"2017","journal-title":"arXiv 1703 05192"},{"key":"ref5","article-title":"StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation","author":"choi","year":"2017","journal-title":"arXiv 1711 09020"},{"key":"ref8","article-title":"Coupled generative adversarial networks","author":"liu","year":"2016","journal-title":"arXiv 1606 07536"},{"key":"ref7","article-title":"Image-to-image translation with conditional adversarial networks","author":"isola","year":"2016","journal-title":"ArXiv 1611 07004"},{"key":"ref49","year":"2020","journal-title":"Keras-Surgeon"},{"key":"ref9","article-title":"InstaGAN: Instance-aware image-to-image translation","author":"mo","year":"2018","journal-title":"arXiv 1812 10889"},{"key":"ref46","article-title":"Fully convolutional networks for semantic segmentation","author":"long","year":"2014","journal-title":"arXiv 1411 4038"},{"key":"ref45","year":"2019","journal-title":"CNN Model for Thermal Reflection Removal"},{"key":"ref48","year":"2020","journal-title":"Colormap"},{"key":"ref47","year":"2019","journal-title":"FLIR TauTM 2"},{"key":"ref42","article-title":"Patch-based image inpainting with generative adversarial networks","author":"demir","year":"2018","journal-title":"arXiv 1803 07422"},{"key":"ref41","article-title":"EdgeConnect: Generative image inpainting with adversarial edge learning","author":"nazeri","year":"2019","journal-title":"arXiv 1901 00212"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09072376.pdf?arnumber=9072376","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:51:31Z","timestamp":1639770691000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9072376\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2988931","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}