Face image super-resolution through locality-induced support regression

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	Face image super-resolution through locality-induced support regression
	Junjun Jiang; Ruimin Hu; Chao Liang; Zhen Han; Chunjie Zhang
发表期刊	Signal Processing
	2014
期号	103 页码:168-183
摘要	In thispaperweproposeanovelfaceimagesuper-resolution(SR)methodnamed Locality-inducedSupportRegression(LiSR).Givenalow-resolution(LR)inputpatch,we learnamappingfunctionbetweenthelocalsupportLRandhigh-resolution(HR)patch pairs topredictitsHRversion.ThesupportcanbeobtainedfromtheLRorHRpatch manifolds,whichleadstotwovarietiesofLiSR,namelyLRpatchguidedLiSR(LR-LiSR)and HR patchguidedLiSR(HR-LiSR).LR-LiSRdirectlylearnsthemappingfunctionbetween local supportLR/HRpatchpairsgivenaninputLRpatch.AsforHR-LiSR,thesupportanda mappingfunctionwillbeiterativelylearnedtoupdatethetargetHRpatch.Thekey advantagesofourproposedframeworkaretwo-fold:(1)thestrongregularizationof “same representation” of priorwork [1,2] is relaxedtothesamesupport,andhencemuch flexibilitycanbegiventothelearnedmappingfunction;(2)wedefinethesupportinthe LR orHRpatchmanifoldspacebyincorporatingthelocalityconstraint,whichcanwell preserve themanifoldstructureofthetrainingset.Experimentalresultsreportedonboth simulatedLRfaceimagesandreal-worlddatasetsdemonstratetheeffectivenessofthe proposed method.
关键词	Super-resolution Face Image Support Regression Manifold Learning
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/15393
专题	类脑智能研究中心
推荐引用方式 GB/T 7714	Junjun Jiang,Ruimin Hu,Chao Liang,et al. Face image super-resolution through locality-induced support regression[J]. Signal Processing,2014(103):168-183.
APA	Junjun Jiang,Ruimin Hu,Chao Liang,Zhen Han,&Chunjie Zhang.(2014).Face image super-resolution through locality-induced support regression.Signal Processing(103),168-183.
MLA	Junjun Jiang,et al."Face image super-resolution through locality-induced support regression".Signal Processing .103(2014):168-183.

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