{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T03:38:27Z","timestamp":1768793907157,"version":"3.49.0"},"reference-count":43,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072218"],"award-info":[{"award-number":["62072218"]}],"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":["61862030"],"award-info":[{"award-number":["61862030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20192ACB20002"],"award-info":[{"award-number":["20192ACB20002"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20192ACBL21008"],"award-info":[{"award-number":["20192ACBL21008"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Talent project of Jiangxi Thousand Talents Program","award":["jxsq2019201056"],"award-info":[{"award-number":["jxsq2019201056"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tmm.2021.3068833","type":"journal-article","created":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T20:39:47Z","timestamp":1617050387000},"page":"1622-1636","source":"Crossref","is-referenced-by-count":24,"title":["End-to-End Rain Removal Network Based on Progressive Residual Detail Supplement"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9467-0942","authenticated-orcid":false,"given":"Yong","family":"Yang","sequence":"first","affiliation":[{"name":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6337-1253","authenticated-orcid":false,"given":"Juwei","family":"Guan","sequence":"additional","affiliation":[{"name":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2771-8461","authenticated-orcid":false,"given":"Shuying","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Tiangong University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3537-979X","authenticated-orcid":false,"given":"Weiguo","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"}]},{"given":"Yating","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1764-0322","authenticated-orcid":false,"given":"Jiaxiang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315077"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2006.262572"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315077"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-0028-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0759-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-012-0373-6"},{"key":"ref7","first-page":"1","article-title":"Spatio-temporal frequency analysis for removing rain and snow from videos","volume-title":"Proc. Int. Workshop Photometric Anal. Comput. Vis","author":"Barnum"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2179057"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref10","article-title":"Photometric model for raindrops","author":"Garg","year":"2003"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s004260000024"},{"key":"ref12","first-page":"212","article-title":"Phase preserving denoising of images","volume-title":"Proc. Australian Pattern Recognit. Soc. Conf","author":"Kovesi"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2012.6343435"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710815"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946766"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2012.92"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2691802"},{"key":"ref18","article-title":"Multi-Scale context aggregation by dilated convolutions","volume-title":"Proc. Inter. Conf. Learn. Represent","author":"Yu"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00079"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"issue":"11","key":"ref21","first-page":"3943","article-title":"Image deraining using a conditional generative adversarial network","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit","volume":"30","author":"Zhang","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2926481"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00406"},{"key":"ref24","first-page":"1751","article-title":"Residual-Guide feature fusion network for single image deraining","volume-title":"ACM Multimedia","author":"Fan"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00263"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2920407"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2895793"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3025402"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2994443"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_16"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/d14-1179"},{"key":"ref32","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks,in Proc","volume-title":"Adv. Neural Inf. Process. Syst.","author":"Krizhevsky","year":"2012"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00741"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2933334"},{"key":"ref36","article-title":"Wide activation for efficient and accurate image super-resolution","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit","author":"Yu"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2937688"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-vision-082114-035447"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref40","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Conf. Workshop Neural Inf. Process. Syst","author":"Shi"},{"key":"ref41","article-title":"DerainCycleGAN: An Attention-guided unsupervised benchmark for single image deraining and rainmaking","author":"Wei","year":"2019"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.299"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9687854\/09388918.pdf?arnumber=9388918","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:51:14Z","timestamp":1704844274000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9388918\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3068833","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}