{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T06:29:02Z","timestamp":1759991342946,"version":"3.37.3"},"reference-count":33,"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":["61702066","61903056"],"award-info":[{"award-number":["61702066","61903056"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Project of Science and Technology Research Program of Chongqing Education Commission of China","award":["KJZD-M201900601"],"award-info":[{"award-number":["KJZD-M201900601"]}]},{"DOI":"10.13039\/501100013223","name":"Chongqing Research Program of Basic Research and Frontier Technology","doi-asserted-by":"publisher","award":["cstc2017jcyjAX0256","cstc2019jcyj-msxmX0681","cstc2018jcyjAX0154"],"award-info":[{"award-number":["cstc2017jcyjAX0256","cstc2019jcyj-msxmX0681","cstc2018jcyjAX0154"]}],"id":[{"id":"10.13039\/501100013223","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chongqing Municipal Key Laboratory of Institutions of Higher Education","award":["cqupt-mct-201901"],"award-info":[{"award-number":["cqupt-mct-201901"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2019.2961369","type":"journal-article","created":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T04:56:55Z","timestamp":1577163415000},"page":"1705-1714","source":"Crossref","is-referenced-by-count":5,"title":["A Two-Branch Convolution Residual Network for Image Compressive Sensing"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0453-5630","authenticated-orcid":false,"given":"Chenquan","family":"Gan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6517-0121","authenticated-orcid":false,"given":"Xiaoqin","family":"Yan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2740-2224","authenticated-orcid":false,"given":"Yunfeng","family":"Wu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5315-2065","authenticated-orcid":false,"given":"Zufan","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2556683"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-013-9576-1"},{"key":"ref30","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.09.080"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.06.035"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2877639"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2884485"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2019.2900201"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2015.7447163"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-019-0460-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.55"},{"key":"ref19","first-page":"34","article-title":"Convolutional neural networks for non-iterative reconstruction of compressively sensed images","volume":"4","author":"lohit","year":"2018","journal-title":"I IEEE Transactions on Computers"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1364\/AO.50.000405"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2565518"},{"key":"ref6","first-page":"159","article-title":"Sparse frequency domain spectrum sensing and sharing based on cyclic prefix autocorrelation","volume":"35","author":"dikmese","year":"2017","journal-title":"IEEE J Sel Areas Commun"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.87"},{"key":"ref8","first-page":"403","article-title":"Block compressed sensing of natural images","author":"gan","year":"2007","journal-title":"Proc Int Conf Digit Signal Process"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2820120"},{"key":"ref2","first-page":"1433","article-title":"Compressive sampling","author":"cand\u00e8s","year":"2006","journal-title":"Proc Int Congr Math"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2671899"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952561"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2017.8262812"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.05.006"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neucom.2018.04.084","article-title":"Fully-convolutional measurement network for compressive sensing image reconstruction","volume":"328","author":"xie","year":"2019","journal-title":"Neurocomputing"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-7302-1_34"},{"key":"ref26","article-title":"Image restoration using convolutional auto-encoders with symmetric skip connections","author":"mao","year":"2016","journal-title":"arXiv 1606 08921"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486521"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08938811.pdf?arnumber=8938811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:50:20Z","timestamp":1639770620000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8938811\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2961369","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}