{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T16:46:08Z","timestamp":1791045968383,"version":"4.1.0"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772043"],"award-info":[{"award-number":["61772043"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["L182002"],"award-info":[{"award-number":["L182002"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["4192025"],"award-info":[{"award-number":["4192025"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007065","name":"Nvidia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1109\/tip.2019.2892685","type":"journal-article","created":{"date-parts":[[2019,1,11]],"date-time":"2019-01-11T19:56:39Z","timestamp":1547236599000},"page":"2948-2961","source":"Crossref","is-referenced-by-count":111,"title":["Scale-Free Single Image Deraining Via Visibility-Enhanced Recurrent Wavelet Learning"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1692-0069","authenticated-orcid":false,"given":"Wenhan","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0468-9576","authenticated-orcid":false,"given":"Jiaying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5576-8629","authenticated-orcid":false,"given":"Shuai","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4944-9621","authenticated-orcid":false,"given":"Zongming","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1049\/el:20080522"},{"key":"ref72","first-page":"1","article-title":"Gated fusion network for single image dehazing","author":"ren","year":"2018","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.185"},{"key":"ref70","author":"zhang","year":"2017","journal-title":"Image De-raining Using a Conditional Generative Adversarial Network"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-5805-z"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2734838"},{"key":"ref33","author":"lore","year":"2015","journal-title":"Llnet A deep autoencoder approach to natural low-light image enhancement"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.84"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598681"},{"key":"ref30","author":"gatys","year":"2015","journal-title":"A neural algorithm of artistic style"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451694"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2869722"},{"key":"ref35","first-page":"1","article-title":"Deep retinex decomposition for low-light enhancement","author":"wei","year":"2018","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00118"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/83.718489"},{"key":"ref62","first-page":"1486","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","author":"denton","year":"2015","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545729"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305071"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/34.192463"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3127927"},{"key":"ref65","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1023\/A:1016328200723"},{"key":"ref29","author":"schuler","year":"2014","journal-title":"Learning to deblur"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459440"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247661"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.03.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2284759"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2179057"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2750403"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.09.002"},{"key":"ref23","article-title":"Reference guided deep super-resolution via manifold localized external compensation","author":"yang","year":"0","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref26","article-title":"Fast and accurate image super-resolution with deep Laplacian pyramid networks","author":"lai","year":"0","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351165"},{"key":"ref50","first-page":"1","article-title":"Densely connected pyramid dehazing network","author":"zhang","year":"2018","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref51","author":"dong","year":"2018","journal-title":"Joint demosaicing and denoising with perceptual optimization on a generative adversarial network"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/WOCN.2013.6616235"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2015.0203"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532596"},{"key":"ref56","first-page":"ii-953","article-title":"Wavelet-domain HMT-based image super-resolution","volume":"2","author":"zhao","year":"2003","journal-title":"Proc IEEE Int Conf Image Process"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.5121\/ijma.2013.5402"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.103"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00854"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.517"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2012.92"},{"key":"ref11","first-page":"2139","article-title":"Rain removal from dynamic scene based on motion segmentation","author":"chen","year":"2013","journal-title":"Proc IEEE Int Symp Circuits Syst (ISCAS)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2882923"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2012.6343435"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.247"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738189"},{"key":"ref15","first-page":"1","article-title":"Density-aware single image de-raining using a multi-stream dense network","author":"zhang","year":"2018","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.191"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.276"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.189"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2708502"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.388"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025909"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.299"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2691802"},{"key":"ref49","first-page":"1","article-title":"Image super-resolution using very deep residual channel attention networks","author":"zhang","year":"2018","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref9","author":"li","year":"2017","journal-title":"Single image deraining using scale-aware multi-stage recurrent network"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref47","first-page":"1","article-title":"Residual dense network for image super-resolution","author":"zhang","year":"2018","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/DCC.2018.00066"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/DCC.2018.00021"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","first-page":"1","article-title":"Optimized recurrent network for intra prediction in video coding","author":"hu","year":"2018","journal-title":"Proc IEEE Vis Commun Image Process"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8672525\/08610325.pdf?arnumber=8610325","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:51:58Z","timestamp":1657745518000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8610325\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":74,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tip.2019.2892685","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6]]}}}