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31 semi-coupled dictionary learning with applications image super resolution and photo sketch synthesis31半耦合词典学习并应用于图像超分辨率照片佐剂合成.pdf

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Semi-CoupledDictionaryLearningwithApplicationstoImageSuper-Resolution

andPhoto-SketchSynthesis

ShenlongWangLeiZhangYanLiangQuanPan

NorthwesternPolytechnicalUniversity,TheHongKongPolytechnicUniversity

shenlong.wang@,cslzhang@.hk,liangyan@,quanpan@

Abstractderstandhowthehumanvisualsystemperceivesthedistinc-

tiveinformationofthesamesceneacrossdifferentsources.

Invariouscomputervisionapplications,oftenweneedInthepastdecades,imagecross-stylesynthesisand

toconvertanimageinonestyleintoanotherstyleforbet-recognitionhavebeenattractingmuchattention.Sincethe

tervisualization,interpretationandrecognition;forexam-imagesunderdifferentstyles,evendescribingthesame

ples,up-convertalowresolutionimagetoahighresolutionscene,canbeverydifferent,howtorevealtheunderlying

one,andconvertafacesketchintoaphotoformatching,relationsbetweenthetwostylesisthekeyissuetobestud-

etc.Asemi-coupleddictionarylearning(SCDL)modelisied.Inordertopredicttheunknownimagesinonestyle

proposedinthispapertosolvesuchcross-styleimagesyn-fromtheircounterpartsinanotherstyle,statisticallearning

thesisproblems.UnderSCDL,apairofdictionariesandaapproachescanbeadoptedtolearntheunderlyingmapping

mappingfunctionwillbesimultaneouslylearned.Thedic-fromexampleimagepairs.Manyimageprocessingand

tionarypaircanwellcharacterizethestructuraldomain-computervisiontasks

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