{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:35:56Z","timestamp":1750221356646,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,2,25]],"date-time":"2018-02-25T00:00:00Z","timestamp":1519516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,2,25]]},"DOI":"10.1145\/3193025.3193040","type":"proceedings-article","created":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T17:51:36Z","timestamp":1526579496000},"page":"80-83","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Compressive Sensing Image Reconstruction Using Super-Resolution Convolutional Neural Network"],"prefix":"10.1145","author":[{"given":"Lilian","family":"Huang","sequence":"first","affiliation":[{"name":"Information and Communication Engineering Department, Harbin Engineering University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhonghang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Information and Communication Engineering Department, Harbin Engineering University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,2,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2161982"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"e_1_3_2_1_3_1","volume-title":"Eprint Arxiv","author":"Huang Hong","year":"2014","unstructured":"Hong Huang , Satyajayant Misra ,ect. Application of Compressed Sensing in Communications Network{J} . Eprint Arxiv , 2014 . Hong Huang, Satyajayant Misra,ect.Application of Compressed Sensing in Communications Network{J}. Eprint Arxiv, 2014."},{"key":"e_1_3_2_1_4_1","first-page":"88","article-title":"Theory, Architectures, and Applications{J}.","volume":"1997","author":"Chauvin BY","unstructured":"BY Chauvin , DE Rumelhart . Back Propagation : Theory, Architectures, and Applications{J}. Journal of the Association for Information Science & Technology , 1997 , 48 (1): 88 -- 89 BY Chauvin, DE Rumelhart.Back Propagation: Theory, Architectures, and Applications{J}.Journal of the Association for Information Science & Technology,1997, 48 (1): 88--89","journal-title":"Journal of the Association for Information Science & Technology"},{"key":"e_1_3_2_1_5_1","first-page":"88","article-title":"Theory, architectures, and applications {J}.","volume":"1997","author":"Biron PV","unstructured":"PV Biron .Backpropagation : Theory, architectures, and applications {J}. Journal of the Association for Information Science & Technology , 1997 , 48 (1): 88 -- 89 PV Biron.Backpropagation: Theory, architectures, and applications {J}.Journal of the Association for Information Science & Technology,1997, 48 (1): 88--89","journal-title":"Journal of the Association for Information Science & Technology"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.84"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.113.2.201"},{"key":"e_1_3_2_1_8_1","first-page":"1","article-title":"Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution {J}","volume":"2017","author":"Yang W","unstructured":"W Yang , J Feng . Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution {J} . IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society , 2017 , PP (99): 1 -- 1 W Yang, J Feng. Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution {J}. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2017, PP (99): 1--1","journal-title":"IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society"},{"key":"e_1_3_2_1_9_1","first-page":"184","volume-title":"Eur. Conf. Comput. Vis.","author":"Dong C","year":"2014","unstructured":"C Dong , C.C. Loy , K. He , and X. Tang ,\"Learning a deep convolutional network for image super-resolution,\" in Proc . Eur. Conf. Comput. Vis. , 2014 , pp. 184 -- 199 . C Dong, C.C.Loy, K.He, and X.Tang,\"Learning a deep convolutional network for image super-resolution,\" in Proc. Eur. Conf. Comput. Vis., 2014, pp. 184--199."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2013.000083"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2007.4301266"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.909108"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2005.850882"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/2747012.2747106"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.2275157"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"e_1_3_2_1_18_1","first-page":"1","article-title":"Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution{J}","volume":"2017","author":"Yang W","unstructured":"W Yang , J Feng , J Yang , F Zhao , J Liu . Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution{J} . IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society , 2017 , PP (99): 1 -- 1 W Yang, J Feng, J Yang, F Zhao, J Liu. Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution{J}. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2017, PP (99): 1--1","journal-title":"IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society"}],"event":{"name":"ICDSP 2018: 2018 2nd International Conference on Digital Signal Processing","acronym":"ICDSP 2018","location":"Tokyo Japan"},"container-title":["Proceedings of the 2nd International Conference on Digital Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3193025.3193040","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3193025.3193040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:26:08Z","timestamp":1750213568000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3193025.3193040"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,25]]},"references-count":18,"alternative-id":["10.1145\/3193025.3193040","10.1145\/3193025"],"URL":"https:\/\/doi.org\/10.1145\/3193025.3193040","relation":{},"subject":[],"published":{"date-parts":[[2018,2,25]]},"assertion":[{"value":"2018-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}