{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T16:54:33Z","timestamp":1781628873360,"version":"3.54.5"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2022.3180213","type":"journal-article","created":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T20:21:51Z","timestamp":1655238111000},"page":"4162-4172","source":"Crossref","is-referenced-by-count":19,"title":["CERL: A Unified Optimization Framework for Light Enhancement With Realistic Noise"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2237-1633","authenticated-orcid":false,"given":"Zeyuan","family":"Chen","sequence":"first","affiliation":[{"name":"School of the Gifted Young, University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7113-305X","authenticated-orcid":false,"given":"Yifan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9100-2906","authenticated-orcid":false,"given":"Dong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2050-5693","authenticated-orcid":false,"given":"Zhangyang","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(87)80186-X"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/83.557356"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/83.597272"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.06.008"},{"key":"ref5","first-page":"1","article-title":"Deep retinex decomposition for low-light enhancement","volume-title":"Proc. BMVC","author":"Wei"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2794218"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910412"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00701"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3051462"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2639450"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00313"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican1277-108"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/83.841534"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2007.381734"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2261309"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2810539"},{"key":"ref19","article-title":"Pedestrian-synthesis-GAN: Generating pedestrian data in real scene and beyond","author":"Ouyang","year":"2018","journal-title":"arXiv:1804.02047"},{"key":"ref20","first-page":"1","article-title":"TransGAN: Two pure transformers can make one strong GAN, and that can scale up","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Jiang"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00479"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00897"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.511"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00710"},{"key":"ref25","first-page":"1","article-title":"MBLLEN: Low-light image\/video enhancement using CNNs","volume-title":"Proc. BMVC","author":"Lv"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00347"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/117"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2964518"},{"key":"ref29","article-title":"Noise2Noise: Learning image restoration without clean data","author":"Lehtinen","year":"2018","journal-title":"arXiv:1803.04189"},{"key":"ref30","first-page":"1","article-title":"Learning to generate realistic noisy images via pixel-level noise-aware adversarial training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Cai"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00044"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3100263"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350926"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350983"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00177"},{"key":"ref37","first-page":"5546","article-title":"Plug-and-play methods provably converge with properly trained denoisers","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ryu"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3026622"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.04.025"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296876"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.01.012"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_21"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09795995.pdf?arnumber=9795995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T21:08:24Z","timestamp":1743800904000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9795995\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tip.2022.3180213","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}