{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T01:38:07Z","timestamp":1725586687734},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1109\/icme51207.2021.9428084","type":"proceedings-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T21:14:21Z","timestamp":1623273261000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Research on Super-Resolution Enhancement Algorithm Based on Skip Residual Dense Network"],"prefix":"10.1109","author":[{"given":"Mu","family":"Shaoshuo","sequence":"first","affiliation":[{"name":"Communication University of Zhejiang,China"}]},{"given":"Zhang","family":"Yanhua","sequence":"additional","affiliation":[{"name":"Communication University of Zhejiang,China"}]},{"given":"Qian","family":"Xiaolan","sequence":"additional","affiliation":[{"name":"Communication University of Zhejiang,China"}]},{"given":"Jiang","family":"Yanbing","sequence":"additional","affiliation":[{"name":"Communication University of Zhejiang,China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CVPR.2019.00399"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/CVPR.2017.19"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/CVPR.2019.01130"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/CVPR.2017.298"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref15","article-title":"Deep backprojection networks for super-resolution","author":"haris","year":"2018","journal-title":"CVPR"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/CVPR.2018.00262"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref18","article-title":"Photo-realistic Image Super-resolution with Fast and Lightweight Cascading Residual Network","author":"ahn","year":"2018","journal-title":"ECCV"},{"key":"ref19","article-title":"Image Super-Resolution Using Very Deep Residual Channel Attention Networks","author":"zhang","year":"2018","journal-title":"ECCV"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/TPAMI.2018.2883553"},{"key":"ref4","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhesky","year":"2012","journal-title":"Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/CVPR.2017.35"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.3788\/AOS201939.0610001"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/ICCVW.2015.17"},{"key":"ref5","article-title":"Learning a deep convolutianal network for image super-resolution","author":"dong","year":"2014","journal-title":"ECCV"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/CVPR.2016.181"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref2","article-title":"Multi-image blind super-resolution in variational Bayesian framework","author":"min","year":"2019","journal-title":"Opto-Electronic Engineering"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1049\/iet-ipr.2010.0275"},{"key":"ref9","article-title":"Accurate image super-resolution using very deep convolution network","author":"kim","year":"2016","journal-title":"CVPR"},{"key":"ref20","article-title":"Multi-scale Residual Network for Image Super-Resolution","author":"li","year":"2018","journal-title":"ECCV"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref21","article-title":"Wasserstein GAN","author":"martin","year":"2017","journal-title":"arXiv preprint arXiv 1701 07875"},{"key":"ref24","article-title":"BEGAN: boundary equilibrium generative adversarial networks","author":"david","year":"2017","journal-title":"arXiv preprint arXiv 1703 10717"},{"key":"ref23","article-title":"High-Quality Face Image Super Resolution Using Conditional Generative Adversarial Networks","author":"huang","year":"2017","journal-title":"arXiv preprint arXiv 1707 00408"},{"key":"ref26","article-title":"Meta-SR:A Magnification-Arbitrary Network for Super-Resolution","author":"hu","year":"2019","journal-title":"CVPR"},{"key":"ref25","article-title":"ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks","author":"wang","year":"2018","journal-title":"ECCV"}],"event":{"name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2021,7,5]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,9]]}},"container-title":["2021 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9428049\/9428068\/09428084.pdf?arnumber=9428084","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:27:17Z","timestamp":1656365237000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9428084\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icme51207.2021.9428084","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}