{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:17:06Z","timestamp":1760710626560,"version":"3.37.3"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100005073","name":"Agency for Defense Development of Korea","doi-asserted-by":"publisher","award":["UD190005DD"],"award-info":[{"award-number":["UD190005DD"]}],"id":[{"id":"10.13039\/501100005073","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3091971","type":"journal-article","created":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T19:45:31Z","timestamp":1624563931000},"page":"91974-91982","source":"Crossref","is-referenced-by-count":5,"title":["Two-Stream Learning-Based Compressive Sensing Network With High-Frequency Compensation for Effective Image Denoising"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6826-6732","authenticated-orcid":false,"given":"Bokyeung","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bonwha","family":"Ku","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5633-3774","authenticated-orcid":false,"given":"Wanjin","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8744-4514","authenticated-orcid":false,"given":"Hanseok","family":"Ko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903582"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00260"},{"key":"ref31","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2430359"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20042"},{"key":"ref34","article-title":"High frequency residual learning for multi-scale image classification","author":"cheng","year":"2019","journal-title":"arXiv 1905 02649"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.50"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2968521"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00353"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839891"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1515\/9783110524116"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref22","first-page":"488","article-title":"FBRNN: Feedback recurrent neural network for extreme image super-resolution","author":"lee","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops (CVPRW)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00399"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","first-page":"456","article-title":"Unsupervised real-world super resolution with cycle generative adversarial network and domain discriminator","author":"kim","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit Workshops (CVPRW)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref25","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref50","first-page":"1087","article-title":"Neural nearest neighbors networks","volume":"31","author":"pl\u00f6tz","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3013166"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596743"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995478"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2428933"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref14","first-page":"10","article-title":"Deep ADMM-Net for compressive sensing MRI","author":"yang","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2873610"},{"key":"ref16","first-page":"399","article-title":"Learning fast approximations of sparse coding","author":"gregor","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.05.043"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2977507"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"he","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref49","article-title":"Non-local recurrent network for image restoration","author":"liu","year":"2018","journal-title":"arXiv 1806 02919"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975986"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.299"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.125"},{"key":"ref45","article-title":"Chaining identity mapping modules for image denoising","author":"anwar","year":"2017","journal-title":"arXiv 1712 02933"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00181"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.022"},{"key":"ref41","first-page":"2802","article-title":"Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections","author":"mao","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09464234.pdf?arnumber=9464234","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:45Z","timestamp":1639771005000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9464234\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3091971","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}