{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T10:47:35Z","timestamp":1769078855910,"version":"3.49.0"},"reference-count":45,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801022"],"award-info":[{"award-number":["61801022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2016YFE0131500"],"award-info":[{"award-number":["2016YFE0131500"]}]},{"name":"Civil Space Project of China","award":["D040301"],"award-info":[{"award-number":["D040301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3040542","type":"journal-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T21:21:44Z","timestamp":1606339304000},"page":"214413-214424","source":"Crossref","is-referenced-by-count":18,"title":["Multi-Wavelet Residual Dense Convolutional Neural Network for Image Denoising"],"prefix":"10.1109","volume":"8","author":[{"given":"Shuo-Fei","family":"Wang","sequence":"first","affiliation":[{"name":"Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9481-2389","authenticated-orcid":false,"given":"Wen-Kai","family":"Yu","sequence":"additional","affiliation":[{"name":"Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya-Xin","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.148"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.152"},{"key":"ref33","first-page":"341","article-title":"Image denoising and inpainting with deep neural networks","author":"xie","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/11744047_21"},{"key":"ref31","first-page":"769","article-title":"Natural image denoising with convolutional networks","author":"jain","year":"2008","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877529"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2955810"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929230"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2949774"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881969"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921451"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/81.386161"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2305394"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2159231"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2915943"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1049\/el.2019.0392"},{"key":"ref17","first-page":"2802","article-title":"Image denoising using very deep fully convolutional encoder-decoder networks with symmetric skip connections","author":"mao","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Med Image Comput Comput -Assist Intervent"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877352"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.47"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877409"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3014130"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.919370"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901821"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.906087"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2300821"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/el.2017.0068"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/rs11060702"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.903253"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877316"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09270032.pdf?arnumber=9270032","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:25:26Z","timestamp":1705353926000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9270032\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3040542","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}