{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:22:36Z","timestamp":1777569756400,"version":"3.51.4"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2017,12,23]],"date-time":"2017-12-23T00:00:00Z","timestamp":1513987200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s13042-017-0765-6","type":"journal-article","created":{"date-parts":[[2017,12,23]],"date-time":"2017-12-23T06:05:49Z","timestamp":1514009149000},"page":"859-877","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Fractional-Grey Wolf optimizer-based kernel weighted regression model for multi-view face video super resolution"],"prefix":"10.1007","volume":"10","author":[{"given":"Amar B.","family":"Deshmukh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Usha Rani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,12,23]]},"reference":[{"key":"765_CR1","doi-asserted-by":"crossref","unstructured":"Qu S, Hu R, Chen S, Chen L, Zhang M (2014) Robust face super-resolution via position-patch neighborhood preserving. In: Proceedings of IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp 1\u20135","DOI":"10.1109\/ICMEW.2014.6890650"},{"key":"765_CR2","doi-asserted-by":"crossref","unstructured":"Yoshida T, Takahashi T, Deguchi D, Ide I, Murase H (2012) Robust face super-resolution using free-form deformations for low-quality surveillance video. In: Proceedings of IEEE International Conference on Multimedia and Expo, pp\u00a0368\u2013373","DOI":"10.1109\/ICME.2012.162"},{"issue":"4","key":"765_CR3","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/LSP.2012.2186961","volume":"19","author":"X Zeng","year":"2012","unstructured":"Zeng X, Huang H (2012) Super-resolution method for multiview face recognition from a single image per person using nonlinear mappings on coherent features. IEEE Signal Process Lett 19(4):195\u2013198","journal-title":"IEEE Signal Process Lett"},{"issue":"4","key":"765_CR4","first-page":"107","volume":"5","author":"L Tao","year":"2012","unstructured":"Tao L, Ruimin H, Zhen H, Yang X, Shang G (2012) Surveillance face super-resolution via shape clustering and subspace learning. Int J Sign Process Image Process Pattern Recogn 5(4):107\u2013116","journal-title":"Int J Sign Process Image Process Pattern Recogn"},{"issue":"5","key":"765_CR5","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/S1005-8885(16)60060-2","volume":"23","author":"L Linghui","year":"2016","unstructured":"Linghui L, Junping D, Meiyu L, Nan R, Dan F (2016) Video super-resolution reconstruction based on deep convolutional neural network and spatiotemporal similarity. J China Univer Posts Telecommun 23(5):68\u201381","journal-title":"J China Univer Posts Telecommun"},{"key":"765_CR6","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.patcog.2015.08.008","volume":"51","author":"K Li","year":"2016","unstructured":"Li K, Zhu Y, Yang J, Jiang J (2016) Video super-resolution using an adaptive superpixel-guided auto-regressive model. Pattern Recogn 51:59\u201371","journal-title":"Pattern Recogn"},{"issue":"5","key":"765_CR7","doi-asserted-by":"publisher","first-page":"1451","DOI":"10.1016\/j.dsp.2013.04.002","volume":"23","author":"S Izadpanahi","year":"2013","unstructured":"Izadpanahi S, Demirel H (2013) \u201cMotion block based video super-resolution. Digit Signal Proc 23(5):1451\u20131462","journal-title":"Digit Signal Proc"},{"issue":"8","key":"765_CR8","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.compeleceng.2014.04.016","volume":"40","author":"X Wang","year":"2014","unstructured":"Wang X, Lin H, Xu X (2014) Parts-based face super-resolution via non-negative matrix factorization. Comput Electr Eng 40(8):130\u2013141","journal-title":"Comput Electr Eng"},{"issue":"7","key":"765_CR9","doi-asserted-by":"publisher","first-page":"2532","DOI":"10.1016\/j.patcog.2010.02.007","volume":"43","author":"H Huang","year":"2010","unstructured":"Huang H, He H, Fan X (2010) Super-resolution of human face image using canonical correlation analysis\u201d. Pattern Recogn 43(7):2532\u20132543","journal-title":"Pattern Recogn"},{"issue":"10","key":"765_CR10","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1109\/TCSVT.2011.2163461","volume":"21","author":"H Huang","year":"2011","unstructured":"Huang H, Wu N (2011) Fast facial image super-resolution via local linear transformations for resource-limited applications. IEEE Trans Circ Syst Video Technol 21(10):1363\u20131377","journal-title":"IEEE Trans Circ Syst Video Technol"},{"issue":"2","key":"765_CR11","doi-asserted-by":"publisher","first-page":"027001","DOI":"10.1117\/1.OE.52.2.027001","volume":"52","author":"X Zeng","year":"2015","unstructured":"Zeng X, Huang H (2015) Locally nonlinear transformation for facial image superresolution. Opt Eng 52(2):027001","journal-title":"Opt Eng"},{"issue":"6","key":"765_CR12","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.1049\/iet-rsn.2016.0391","volume":"11","author":"L Zhang","year":"2017","unstructured":"Zhang L, Li BL, Xie N, Wang H (2017) CSVE radar: high-range-resolution radar using compressive sensing and virtual expanding technique. IET Radar Sonar Navig 11(6)1002\u20131010","journal-title":"IET Radar Sonar Navig"},{"issue":"4","key":"765_CR13","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1109\/TCYB.2016.2535122","volume":"47","author":"JG Zhang","year":"2017","unstructured":"Zhang JG, Han YH, Tang JH, Hu QH, Jiang JM (2017) Semi-supervised image-to-video adaptation for video action recognition. IEEE Trans Cybern 47(4):960\u2013973","journal-title":"IEEE Trans Cybern"},{"key":"765_CR14","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.ins.2016.05.024","volume":"367","author":"Y Zhou","year":"2016","unstructured":"Zhou Y, Kwong S, Gao W, Wang X (2016) A phase congruency based patch evaluator for complexity reduction in multi-dictionary based single-image super-resolution. Inf Sci 367:337\u2013353","journal-title":"Inf Sci"},{"issue":"8","key":"765_CR15","doi-asserted-by":"publisher","first-page":"3770","DOI":"10.1109\/TIP.2012.2192285","volume":"21","author":"C-X Ren","year":"2012","unstructured":"Ren C-X, Dai D-Q, Yan H (2012) Coupled Kernel embedding for low-resolution face image recognition. IEEE Trans Image Process 21(8):3770\u20133783","journal-title":"IEEE Trans Image Process"},{"issue":"10","key":"765_CR16","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1109\/TCSVT.2011.2162267","volume":"21","author":"K Nasrollahi","year":"2011","unstructured":"Nasrollahi K, Moeslund TB (2011) Extracting a good quality frontal face image from a low-resolution video sequence. IEEE Trans Circuits Syst Video Technol 21(10):1353\u20131362","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"11","key":"765_CR17","doi-asserted-by":"publisher","first-page":"1761","DOI":"10.1109\/TCSVT.2015.2400772","volume":"25","author":"M Jian","year":"2015","unstructured":"Jian M, Lam KM (2015) Simultaneous hallucination and recognition of low-resolution faces based on singular value decomposition. IEEE Trans Circuits Syst Video Technol 25(11):1761\u20131772","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"765_CR18","doi-asserted-by":"crossref","unstructured":"Yee P, Haykin S (1993) Pattern classification as an ill-posed, inverse problem: a regularization approach. In: Proc IEEE Int Conf Acoustics Speech Signal Processing, vol 1, pp 597\u2013600","DOI":"10.1109\/ICASSP.1993.319189"},{"issue":"2","key":"765_CR19","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1109\/TIP.2006.888330","volume":"16","author":"H Takeda","year":"2007","unstructured":"Takeda H, Farsiu S, Milanfar P (2007) Kernel regression for image processing and reconstruction. IEEE Trans Image Process 16(2):349\u2013366","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"765_CR20","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/38.988747","volume":"22","author":"WT Freeman","year":"2002","unstructured":"Freeman WT, Jones TR, Pasztor EC (2002) Example-based super-resolution. IEEE Comput Graph Appl 22(2)56\u201365","journal-title":"IEEE Comput Graph Appl"},{"issue":"2","key":"765_CR21","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TPAMI.2013.127","volume":"36","author":"C Liu","year":"2014","unstructured":"Liu C, Sun D (2014) On Bayesian adaptive video super resolution. IEEE Trans Pattern Anal Mach Intell 36(2):346\u2013360","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"765_CR22","doi-asserted-by":"crossref","unstructured":"Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. In: Proceedings of IEEE computer society conference on Computer Vision and Pattern Recognition, vol\u00a01, pp\u00a0I-511\u2013I-518","DOI":"10.1109\/CVPR.2001.990517"},{"key":"765_CR23","doi-asserted-by":"publisher","first-page":"128","DOI":"10.5201\/ipol.2014.104","volume":"4","author":"Y-Q Wang","year":"2014","unstructured":"Wang Y-Q (2014) An analysis of the Viola-Jones face detection algorithm. Image Process Line 4:128\u2013148","journal-title":"Image Process Line"},{"key":"765_CR24","unstructured":"Papageorgiou C, Oren M, Poggio T (1998) A general framework for object detection. In: Proceedings of International Conference on Computer Vision"},{"issue":"1\u20132","key":"765_CR25","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/s11071-009-9649-y","volume":"61","author":"ES Pires","year":"2010","unstructured":"Pires ES, Tenreiro Machado JA, de Moura Oliveira PB, Cunha BJ, Mendes L (2010) Particle swarm optimization with fractional-order velocity. Nonlinear Dyn 61(1\u20132):295\u2013301","journal-title":"Nonlinear Dyn"},{"key":"765_CR26","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"SM SeyedaliMirjalili","year":"2014","unstructured":"SeyedaliMirjalili SM, Mirjalili A, Lewis (2014) Grey Wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"765_CR27","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.beproc.2011.09.006","volume":"88","author":"C Muro","year":"2011","unstructured":"Muro C, Escobedo R, Spector L, Coppinger R (2011) Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations. Behav Process 88:192\u2013197","journal-title":"Behav Process"},{"issue":"6","key":"765_CR28","doi-asserted-by":"publisher","first-page":"918","DOI":"10.1109\/TITB.2011.2164259","volume":"15","author":"K Panetta","year":"2011","unstructured":"Panetta K, Zhou Y, Agaian S, Jia H (2011) Nonlinear Unsharp masking for mammogram enhancement. IEEE Trans Inf Technol Biomed 15(6):918\u2013928","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"765_CR29","unstructured":"The UCSD face video database. \n                    http:\/\/vision.ucsd.edu\/datasets\/leekc\/disk2\/VideoDatabase\/testing\/\n                    \n                  . Accessed 15 Nov 2016"},{"key":"765_CR30","unstructured":"Yang J, Wright J, Ma Y, Huang T (2008) Image super-resolution as sparse representation of raw image patches. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK"},{"key":"765_CR31","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/s10915-008-9214-8","volume":"37","author":"A Marquina","year":"2008","unstructured":"Marquina A, Osher SJ (2008) Image super-resolution by TV-regularization and Bregman iteration. J Sci Comput 37:367\u2013382","journal-title":"J Sci Comput"},{"issue":"7","key":"765_CR32","doi-asserted-by":"publisher","first-page":"1838","DOI":"10.1109\/TIP.2011.2108306","volume":"20","author":"W Dong","year":"2011","unstructured":"Dong W, Zhang L, Shi G, Wu X (2011) Image Deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization. IEEE Trans Image Process 20(7):1838\u20131857","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"765_CR33","doi-asserted-by":"publisher","first-page":"1340","DOI":"10.1109\/TIP.2016.2518805","volume":"25","author":"V May","year":"2016","unstructured":"May V, Keller Y, Sharon N, Shkolnisky Y (2016) An algorithm for improving non-local means operators via low-rank approximation. IEEE Trans Image Process 25(3):1340\u20131353","journal-title":"IEEE Trans Image Process"},{"key":"765_CR34","doi-asserted-by":"crossref","unstructured":"Liu C, Sun D (2011) A Bayesian approach to adaptive video super resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","DOI":"10.1109\/CVPR.2011.5995614"},{"issue":"2","key":"765_CR35","first-page":"109122","volume":"2","author":"A Kappeler","year":"2016","unstructured":"Kappeler A, Yoo S, Dai Q, Katsaggelos AK (2016) Video super-resolution with convolutional neural networks sign in or purchase. IEEE Trans Computat Imaging 2(2):109\u2013122","journal-title":"IEEE Trans Computat Imaging"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0765-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-017-0765-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0765-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,24]],"date-time":"2019-04-24T05:42:03Z","timestamp":1556084523000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-017-0765-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,23]]},"references-count":35,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["765"],"URL":"https:\/\/doi.org\/10.1007\/s13042-017-0765-6","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,12,23]]},"assertion":[{"value":"27 October 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 December 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}