{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T06:05:21Z","timestamp":1767852321316,"version":"3.49.0"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T00:00:00Z","timestamp":1667433600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T00:00:00Z","timestamp":1667433600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902051"],"award-info":[{"award-number":["61902051"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s00521-022-07963-2","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T11:06:34Z","timestamp":1667473594000},"page":"5369-5380","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Complex scene video frames alignment and multi-frame fusion deraining with deep neural network"],"prefix":"10.1007","volume":"35","author":[{"given":"Rui","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lupeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengqiang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Tong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengqi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,3]]},"reference":[{"issue":"4","key":"7963_CR1","doi-asserted-by":"publisher","first-page":"2089","DOI":"10.1109\/TIP.2018.2880512","volume":"28","author":"T-X Jiang","year":"2018","unstructured":"Jiang T-X, Huang T-Z, Zhao X-L, Deng L-J, Wang Y (2018) Fastderain: a novel video rain streak removal method using directional gradient priors. IEEE Trans Image Process 28(4):2089\u20132102","journal-title":"IEEE Trans Image Process"},{"key":"7963_CR2","doi-asserted-by":"crossref","unstructured":"Chen J, Tan CH, Hou J, Chau LP, Li H (2018) Robust video content alignment and compensation for rain removal in a CNN framework. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 6286\u20136295","DOI":"10.1109\/CVPR.2018.00658"},{"issue":"4","key":"7963_CR3","doi-asserted-by":"publisher","first-page":"1742","DOI":"10.1109\/TIP.2011.2179057","volume":"21","author":"L-W Kang","year":"2011","unstructured":"Kang L-W, Lin C-W, Yu-Hsiang F (2011) Automatic single-image-based rain streaks removal via image decomposition. IEEE Trans Image Process 21(4):1742\u20131755","journal-title":"IEEE Trans Image Process"},{"key":"7963_CR4","doi-asserted-by":"crossref","unstructured":"Luo Y, Xu Y, Ji H (2015) Removing rain from a single image via discriminative sparse coding. In: Proceedings of the IEEE international conference on computer vision, pp 3397\u20133405","DOI":"10.1109\/ICCV.2015.388"},{"key":"7963_CR5","doi-asserted-by":"crossref","unstructured":"Li Y, Tan RT, Guo X, Lu J, Brown MS (2016) Rain streak removal using layer priors. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2736\u20132744","DOI":"10.1109\/CVPR.2016.299"},{"key":"7963_CR6","doi-asserted-by":"crossref","unstructured":"Fu X, Huang J, Zeng D, Huang Y, Ding X, Paisley J (2017) Removing rain from single images via a deep detail network. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3855\u20133863","DOI":"10.1109\/CVPR.2017.186"},{"key":"7963_CR7","doi-asserted-by":"crossref","unstructured":"Yang W, Tan RT, Feng J, Liu J, Guo Z, Yan S (2017) Deep joint rain detection and removal from a single image. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1357\u20131366","DOI":"10.1109\/CVPR.2017.183"},{"issue":"3","key":"7963_CR8","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1145\/1141911.1141985","volume":"25","author":"K Garg","year":"2006","unstructured":"Garg K, Nayar SK (2006) Photorealistic rendering of rain streaks. ACM Trans Gr (TOG) 25(3):996\u20131002","journal-title":"ACM Trans Gr (TOG)"},{"key":"7963_CR9","doi-asserted-by":"crossref","unstructured":"Jiang TX, Huang TZ, Zhao XL, Deng LJ, Wang Y (2017) A novel tensor-based video rain streaks removal approach via utilizing discriminatively intrinsic priors. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4057\u20134066","DOI":"10.1109\/CVPR.2017.301"},{"issue":"9","key":"7963_CR10","doi-asserted-by":"publisher","first-page":"2658","DOI":"10.1109\/TIP.2015.2428933","volume":"24","author":"J-H Kim","year":"2015","unstructured":"Kim J-H, Sim J-Y, Kim C-S (2015) Video deraining and desnowing using temporal correlation and low-rank matrix completion. IEEE Trans Image Process 24(9):2658\u20132670","journal-title":"IEEE Trans Image Process"},{"key":"7963_CR11","doi-asserted-by":"crossref","unstructured":"Fu YH, Kang LW, Lin CW, Hsu CT (2011) Single-frame-based rain removal via image decomposition. In: 2011 IEEE international conference on acoustics, speech and signal processing (ICASSP), IEEE, pp. 1453\u20131456","DOI":"10.1109\/ICASSP.2011.5946766"},{"key":"7963_CR12","doi-asserted-by":"crossref","unstructured":"Chang Y, Yan L, Zhong S (2017) Transformed low-rank model for line pattern noise removal. In: Proceedings of the IEEE international conference on computer vision, pp 1726\u20131734","DOI":"10.1109\/ICCV.2017.191"},{"key":"7963_CR13","doi-asserted-by":"crossref","unstructured":"Zheng X, Liao Y, Guo W, Fu X, Ding X (2013) Single-image-based rain and snow removal using multi-guided filter. In: International conference on neural information processing, Springer, pp 258\u2013265","DOI":"10.1007\/978-3-642-42051-1_33"},{"issue":"5","key":"7963_CR14","doi-asserted-by":"publisher","first-page":"2697","DOI":"10.1007\/s11042-015-2657-7","volume":"75","author":"X Ding","year":"2016","unstructured":"Ding X, Chen L, Zheng X, Huang Y, Zeng D (2016) Single image rain and snow removal via guided l0 smoothing filter. Multimedia Tools Appl 75(5):2697\u20132712","journal-title":"Multimedia Tools Appl"},{"key":"7963_CR15","doi-asserted-by":"crossref","unstructured":"Gu S, Meng D, Zuo W, Zhang L (2017) Joint convolutional analysis and synthesis sparse representation for single image layer separation. In: Proceedings of the IEEE international conference on computer vision, pp 1708\u20131716","DOI":"10.1109\/ICCV.2017.189"},{"issue":"6","key":"7963_CR16","doi-asserted-by":"publisher","first-page":"2944","DOI":"10.1109\/TIP.2017.2691802","volume":"26","author":"F Xueyang","year":"2017","unstructured":"Xueyang F, Huang J, Ding X, Liao Y, Paisley J (2017) Clearing the skies: a deep network architecture for single-image rain removal. IEEE Trans Image Process 26(6):2944\u20132956","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"7963_CR17","doi-asserted-by":"publisher","first-page":"3943","DOI":"10.1109\/TCSVT.2019.2920407","volume":"30","author":"H Zhang","year":"2019","unstructured":"Zhang H, Sindagi V, Patel VM (2019) Image de-raining using a conditional generative adversarial network. IEEE Trans Circuits Syst Video Technol 30(11):3943\u20133956","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"7963_CR18","doi-asserted-by":"crossref","unstructured":"Fan Z, Wu H, Fu X, Huang Y, Ding X (2018) Residual-guide network for single image deraining. In: Proceedings of the 26th ACM international conference on multimedia, pp 1751\u20131759","DOI":"10.1145\/3240508.3240694"},{"key":"7963_CR19","doi-asserted-by":"crossref","unstructured":"Ren D, Zuo W, Hu Q, Zhu P, Meng D (2019) Progressive image deraining networks: a better and simpler baseline. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 3937\u20133946","DOI":"10.1109\/CVPR.2019.00406"},{"issue":"6","key":"7963_CR20","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1109\/TPAMI.2019.2895793","volume":"42","author":"W Yang","year":"2019","unstructured":"Yang W, Tan RT, Feng J, Guo Z, Yan S, Liu J (2019) Joint rain detection and removal from a single image with contextualized deep networks. IEEE Trans Pattern Anal Mach Intell 42(6):1377\u20131393","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"7963_CR21","doi-asserted-by":"crossref","unstructured":"Li R, Cheong LF, Tan RT (2019) Heavy rain image restoration: Integrating physics model and conditional adversarial learning. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 1633\u20131642","DOI":"10.1109\/CVPR.2019.00173"},{"key":"7963_CR22","doi-asserted-by":"crossref","unstructured":"Wang H, Xie Q, Zhao Q, Meng D (2020) A model-driven deep neural network for single image rain removal. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 3103\u20133112","DOI":"10.1109\/CVPR42600.2020.00317"},{"key":"7963_CR23","doi-asserted-by":"crossref","unstructured":"Chen C, Li H (2021) Robust representation learning with feedback for single image deraining. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 7742\u20137751","DOI":"10.1109\/CVPR46437.2021.00765"},{"key":"7963_CR24","doi-asserted-by":"crossref","unstructured":"Huang H, Yu A, He R (2021) Memory oriented transfer learning for semi-supervised image deraining. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 7732\u20137741","DOI":"10.1109\/CVPR46437.2021.00764"},{"key":"7963_CR25","unstructured":"Starik S, Werman M (2003) Simulation of rain in videos. In: Texture workshop, ICCV, vol 2, pp 406\u2013409"},{"key":"7963_CR26","doi-asserted-by":"crossref","unstructured":"Garg K, Nayar SK (2004) Detection and removal of rain from videos. In: Proceedings of the 2004 IEEE computer society conference on computer vision and pattern recognition, 2004. CVPR 2004, vol\u00a01, IEEE, pp I\u2013I","DOI":"10.1109\/CVPR.2004.1315077"},{"issue":"1","key":"7963_CR27","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s11263-006-0028-6","volume":"75","author":"K Garg","year":"2007","unstructured":"Garg K, Nayar SK (2007) Vision and rain. Int J Comput Vis 75(1):3\u201327","journal-title":"Int J Comput Vis"},{"key":"7963_CR28","doi-asserted-by":"crossref","unstructured":"Kang LW, Lin CW, Lin CT, Lin YC (2012) Self-learning-based rain streak removal for image\/video. In: 2012 IEEE international symposium on circuits and systems (ISCAS), IEEE, pp- 1871\u20131874","DOI":"10.1109\/ISCAS.2012.6271635"},{"key":"7963_CR29","doi-asserted-by":"crossref","unstructured":"Chen YL, Hsu CT (2013) A generalized low-rank appearance model for spatio-temporally correlated rain streaks. In: Proceedings of the IEEE international conference on computer vision, pp 1968\u20131975","DOI":"10.1109\/ICCV.2013.247"},{"key":"7963_CR30","doi-asserted-by":"crossref","unstructured":"Wei W, Yi L, Xie Q, Zhao Q, Meng D, Xu Z (2017) Should we encode rain streaks in video as deterministic or stochastic? In: Proceedings of the IEEE international conference on computer vision, pp 2516\u20132525","DOI":"10.1109\/ICCV.2017.275"},{"key":"7963_CR31","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1016\/j.apm.2019.10.065","volume":"79","author":"Y Wang","year":"2020","unstructured":"Wang Y, Huang T-Z, Zhao X-L, Jiang T-X (2020) Video deraining via nonlocal low-rank regularization. Appl Math Model 79:896\u2013913","journal-title":"Appl Math Model"},{"key":"7963_CR32","doi-asserted-by":"crossref","unstructured":"Ren W, Tian J, Han Z, Chan A, Tang Y (2017) Video desnowing and deraining based on matrix decomposition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4210\u20134219","DOI":"10.1109\/CVPR.2017.303"},{"key":"7963_CR33","doi-asserted-by":"crossref","unstructured":"Li M, Xie Q, Zhao Q, Wei W, Gu S, Tao J, Meng D (2018) Video rain streak removal by multiscale convolutional sparse coding. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 6644\u20136653","DOI":"10.1109\/CVPR.2018.00695"},{"key":"7963_CR34","doi-asserted-by":"crossref","unstructured":"Liu J, Yang W, Yang S, Guo Z (2018) Erase or fill? Deep joint recurrent rain removal and reconstruction in videos. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3233\u20133242","DOI":"10.1109\/CVPR.2018.00341"},{"key":"7963_CR35","doi-asserted-by":"crossref","unstructured":"Yang W, Liu J, Feng J (2019) Frame-consistent recurrent video deraining with dual-level flow. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 1661\u20131670","DOI":"10.1109\/CVPR.2019.00176"},{"key":"7963_CR36","doi-asserted-by":"crossref","unstructured":"Yang W, Tan RT, Wang S, Liu J (2020) Self-learning video rain streak removal: when cyclic consistency meets temporal correspondence. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 1720\u20131729","DOI":"10.1109\/CVPR42600.2020.00179"},{"key":"7963_CR37","doi-asserted-by":"crossref","unstructured":"Yang W, Tan RT, Feng J, Wang S, Cheng B, Liu J (2021) Recurrent multi-frame deraining: combining physics guidance and adversarial learning. IEEE Trans Pattern Anal Mach Intel","DOI":"10.1109\/TPAMI.2021.3083076"},{"key":"7963_CR38","doi-asserted-by":"crossref","unstructured":"Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng (2021) Semi-supervised video deraining with dynamical rain generator. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pages 642\u2013652","DOI":"10.1109\/CVPR46437.2021.00070"},{"key":"7963_CR39","volume-title":"Kevin Smith","author":"R Achanta","year":"2010","unstructured":"Achanta R, Shaji A (2010) Kevin Smith. Pascal Fua, and Sabine S\u00fcsstrunk. Slic superpixels. Technical report, Aurelien Lucchi"},{"key":"7963_CR40","doi-asserted-by":"crossref","unstructured":"Olaf Ronneberger, Philipp Fischer, Thomas Brox (2015) U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention, pages 234\u2013241. Springer","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"13","key":"7963_CR41","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1049\/el:20080522","volume":"44","author":"Q Huynh-Thu","year":"2008","unstructured":"Huynh-Thu Q, Ghanbari M (2008) Scope of validity of psnr in image\/video quality assessment. Electron Lett 44(13):800\u2013801","journal-title":"Electron Lett"},{"issue":"4","key":"7963_CR42","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"7963_CR43","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/LSP.2012.2227726","volume":"20","author":"A Mittal","year":"2012","unstructured":"Mittal A, Soundararajan R, Bovik AC (2012) Making a \u201ccompletely blind\u2019\u2019 image quality analyzer. IEEE Signal Process Lett 20(3):209\u2013212","journal-title":"IEEE Signal Process Lett"},{"issue":"3","key":"7963_CR44","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1109\/JOE.2015.2469915","volume":"41","author":"K Panetta","year":"2015","unstructured":"Panetta K, Gao C, Agaian S (2015) Human-visual-system-inspired underwater image quality measures. IEEE J Oceanic Eng 41(3):541\u2013551","journal-title":"IEEE J Oceanic Eng"},{"key":"7963_CR45","doi-asserted-by":"crossref","unstructured":"Gunnar Farneb\u00e4ck (2003) Two-frame motion estimation based on polynomial expansion. In Scandinavian conference on Image analysis, pages 363\u2013370. Springer","DOI":"10.1007\/3-540-45103-X_50"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07963-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07963-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07963-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T05:06:24Z","timestamp":1728277584000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07963-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,3]]},"references-count":45,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["7963"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07963-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,3]]},"assertion":[{"value":"8 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 November 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}