{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T07:01:14Z","timestamp":1764831674731,"version":"3.46.0"},"reference-count":47,"publisher":"Tech Science Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.069784","type":"journal-article","created":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T14:09:54Z","timestamp":1756562994000},"page":"2837-2849","source":"Crossref","is-referenced-by-count":0,"title":["3D Enhanced Residual CNN for Video Super-Resolution Network"],"prefix":"10.32604","volume":"85","author":[{"given":"Weiqiang","family":"Xin","sequence":"first","affiliation":[]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yufeng","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Bing","family":"Li","sequence":"additional","affiliation":[]},{"given":"Chunwei","family":"Tian","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCE.2025.3572732","article-title":"A tree-guided CNN for image super-resolution","volume":"71","author":"Tian","year":"2025","journal-title":"IEEE Trans Consum Electron"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"2193","DOI":"10.1109\/LSP.2022.3210874","article-title":"Grouped spatio-temporal alignment network for video super-resolution","volume":"29","author":"Lu","year":"2022","journal-title":"IEEE Signal Process Lett"},{"key":"ref3","series-title":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1557","article-title":"Learning spatial-temporal implicit neural representations for event-guided video super-resolution","author":"Lu","year":"2023 Jun 17\u201324"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.neunet.2022.06.009","article-title":"Image super-resolution with an enhanced group convolutional neural network","volume":"153","author":"Tian","year":"2022","journal-title":"Neural Netw"},{"key":"ref5","series-title":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"2012","article-title":"Compression-aware video super-resolution","author":"Wang","year":"2023 Jun 17\u201324"},{"key":"ref6","first-page":"1","author":"Lv","year":"2023","journal-title":"Digital image enhancement and reconstruction"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"12627","DOI":"10.1109\/TITS.2023.3287912","article-title":"Accelerating stereo image simulation for automotive applications using neural stereo super resolution","volume":"24","author":"Haghighi","year":"2023","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"13409","DOI":"10.1109\/TITS.2023.3237708","article-title":"Video super-resolution based on inter-frame information utilization for intelligent transportation","volume":"24","author":"Guo","year":"2023","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"7069","DOI":"10.1109\/TCSVT.2024.3349678","article-title":"Perceptive self-supervised learning network for noisy image watermark removal","volume":"34","author":"Tian","year":"2024","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"2384","DOI":"10.1109\/TCSI.2023.3258446","article-title":"An efficient accelerator based on lightweight deformable 3D-CNN for video super-resolution","volume":"70","author":"Zhang","year":"2023","journal-title":"IEEE Trans Circuits Syst I Regul Pap"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"6621","DOI":"10.1109\/TSMC.2024.3429345","article-title":"Heterogeneous window transformer for image denoising","volume":"54","author":"Tian","year":"2024","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"ref12","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1637","article-title":"Deeply-recursive convolutional network for image super-resolution","author":"Kim","year":"2016 Jun 27\u201330"},{"key":"ref13","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1646","article-title":"Accurate image super-resolution using very deep convolutional networks","author":"Kim","year":"2016 Jun 27\u201330"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"7566","DOI":"10.1109\/TCSVT.2024.3375831","article-title":"A self-supervised CNN for image watermark removal","volume":"34","author":"Tian","year":"2024","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref15","first-page":"4577","article-title":"Active fine-tuning from gMAD examples improves blind image quality assessment","volume":"44","author":"Wang","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref16","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"16251","article-title":"Troubleshooting blind image quality models in the wild","author":"Wang","year":"2021 Jun 20\u201325"},{"key":"ref17","first-page":"184","author":"Dong","year":"2014","journal-title":"Computer Vision\u2014ECCV 2014; 2014 Sep 6\u201312"},{"key":"ref18","first-page":"109","article-title":"Video super-resolution with convolutional neural networks","volume":"2","author":"Kappeler","year":"2016","journal-title":"IEEE Trans Comput Imag"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1007\/s11263-018-01144-2","article-title":"Video enhancement with task-oriented flow","volume":"127","author":"Xue","year":"2019","journal-title":"Int J Comput Vis"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1109\/LSP.2018.2805809","article-title":"Enhancing image quality via style transfer for single image super-resolution","volume":"25","author":"Deng","year":"2018","journal-title":"IEEE Signal Process Lett"},{"key":"ref21","series-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"3892","article-title":"Recurrent back-projection network for video super-resolution","author":"Haris","year":"2019 Jun 15\u201320"},{"key":"ref22","series-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); 2019 Jun 16\u201317","first-page":"1954","article-title":"EDVR: video restoration with enhanced deformable convolutional networks","author":"Wang"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1049\/ipr2.12134","article-title":"Video super-resolution with non-local alignment network","volume":"15","author":"Zhou","year":"2021","journal-title":"IET Image Process"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"3274","DOI":"10.1109\/TFUZZ.2024.3373792","article-title":"A novel fuzzy neural network architecture search framework for defect recognition with uncertainties","volume":"32","author":"Ma","year":"2024","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"ref25","series-title":"European Conference on Computer Vision; 2020 Aug 23\u201328; Glasgow, UK","first-page":"402","article-title":"RAFT: recurrent all-pairs field transforms for optical flow","author":"Teed","year":"2020"},{"key":"ref26","series-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition; 2018 Jun 18\u201323","first-page":"8934","article-title":"PWC-net: CNNs for optical flow using pyramid, warping, and cost volume","author":"Sun"},{"key":"ref27","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017 Jul 21\u201326","first-page":"2720","article-title":"Optical flow estimation using a spatial pyramid network","author":"Ranjan"},{"key":"ref28","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2016 Jun 27\u201330","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"8910","DOI":"10.1109\/TPAMI.2021.3123085","article-title":"Face restoration via plug-and-play 3D facial priors","volume":"44","author":"Hu","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref30","series-title":"2019 IEEE\/CVF International Conference on Computer Vision (ICCV); 2019 Oct 27\u2013Nov 2","first-page":"1911","article-title":"ACNet: strengthening the kernel skeletons for powerful CNN via asymmetric convolution blocks","author":"Ding"},{"key":"ref31","series-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); 2019 Jun 16\u201317","first-page":"1996","article-title":"Challenge on video deblurring and super-resolution: dataset and study","author":"Nah"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1109\/TPAMI.2013.127","article-title":"On Bayesian adaptive video super resolution","volume":"36","author":"Liu","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1006\/jvci.1997.0370","article-title":"Subpixel motion estimation for super-resolution image sequence enhancement","volume":"9","author":"Schultz","year":"1998","journal-title":"J Vis Commun Image Represent"},{"key":"ref34","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017 Jul 21\u201326","first-page":"5835","article-title":"Deep Laplacian pyramid networks for fast and accurate super-resolution","author":"Lai"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"2599","DOI":"10.1109\/TPAMI.2018.2865304","article-title":"Fast and accurate image super-resolution with deep Laplacian pyramid networks","volume":"41","author":"Lai","year":"2019","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref36","series-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2019 Jun 15\u201320","first-page":"10514","article-title":"Fast spatio-temporal residual network for video super-resolution","author":"Li"},{"article-title":"Digital rectification of ERTS multispectral imagery","series-title":"NASA Goddard Space Flight Center Symposium on Significant Results Obtained from the ERTS-1; 1973 Mar 5\u20139","author":"Rifman","key":"ref37"},{"key":"ref38","series-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition; 2018 Jun 18\u201323","first-page":"3224","article-title":"Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation","author":"Jo"},{"key":"ref39","series-title":"2019 IEEE\/CVF International Conference on Computer Vision (ICCV); 2019 Oct 27\u2013Nov 2","first-page":"3106","article-title":"Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations","author":"Yi"},{"key":"ref40","first-page":"335","author":"Li","year":"2020","journal-title":"Computer Vision\u2014ECCV 2020; 2020 Aug 23\u201328"},{"key":"ref41","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR); 2021 Jun 20\u201325","first-page":"6384","article-title":"Temporal modulation network for controllable space-time video super-resolution","author":"Xu"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"10606","DOI":"10.1109\/TNNLS.2023.3243029","article-title":"STDAN: deformable attention network for space-time video super-resolution","volume":"35","author":"Wang","year":"2024","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"3258","DOI":"10.1109\/TNNLS.2023.3347450","article-title":"DVSRNet: deep video super-resolution based on progressive deformable alignment and temporal-sparse enhancement","volume":"36","author":"Zhu","year":"2025","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref44","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2017 Jul 21\u201326","first-page":"2848","article-title":"Real-time video super-resolution with spatio-temporal networks and motion compensation","author":"Caballero"},{"key":"ref45","series-title":"2017 IEEE International Conference on Computer Vision (ICCV); 2017 Oct 22\u201329","first-page":"4482","article-title":"Detail-revealing deep video super-resolution","author":"Tao"},{"key":"ref46","series-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition; 2018 Jun 18\u201323","first-page":"6626","article-title":"Frame-recurrent video super-resolution","author":"Sajjadi"},{"key":"ref47","first-page":"514","author":"Wang","year":"2019","journal-title":"Computer Vision\u2014ACCV 2018; 2018 Dec 2\u20136"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-85-2\/TSP_CMC_69784\/TSP_CMC_69784.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T05:35:37Z","timestamp":1764826537000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v85n2\/63858"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":47,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.069784","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}