资源描述:
《Shadow Remover Image Shadow Removal Based on Illumination Recovering Optimization(word版本)》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、ShadowRemover:ImageShadowRemovalBasedonIlluminationRecoveringOptimizationLingZhang,QingZhang,andChunxiaXiao,Member,IEEE,1057-7149©2015IEEE.Personaluseispermitted,butrepublication/redistributionrequiresIEEEpermission.Seehttp://www.ieee.org/publications_standards/publications/rights/i
2、ndex.htmlformoreinformation.Abstract—Inthispaper,wepresentanovelshadowremovalsystemforsinglenaturalimagesaswellascoloraerialimagesusinganilluminationrecoveringoptimizationmethod.Wefirstadaptivelydecomposetheinputimageintooverlappedpatchesaccordingtotheshadowdistribution.Then,bybuild
3、ingthecorrespondencebetweentheshadowpatchandthelitpatchbasedontexturesimilarity,weconstructanoptimizedilluminationrecoveringoperator,whicheffectivelyremovestheshadowsandrecoversthetexturedetailundertheshadowpatches.Basedoncoherentoptimizationprocessingamongtheneighboringpatches,wefi
4、nallyproducehigh-qualityshadow-freeresultswithconsistentillumination.Ourshadowremovalsystemissimpleandeffective,andcanprocessshadowimageswithrichtexturetypesandnonuniformshadows.Theilluminationofshadow-freeresultsisconsistentwiththatofsurroundingenvironment.Wefurtherpresentseveralsh
5、adoweditingapplicationstoillustratetheversatilityoftheproposedmethod.IndexTerms—Shadowdetection,shadowremoval,shadowmatting,patchmatching,aerialimages.I.IntroductionSHADOWSarenaturalphenomena,whichoccurwhenthelightisblocked.Althoughshadowsprovideimportantvisualcuesforobjectshapeper
6、ception,illuminationposition,objectsocclusion,etc.,shadow-freeimagescanhelptoimprovetheperformanceofthetaskssuchasobjectrecognition,objecttrackingandinformationenhancement[1],[2].Forexample,forhighspatialresolutionremotesenseimage,shadowremovalisverycriticalfortargetidentificationa
7、ndinformationrecovering.Shadowremovalandeditingcanalsoimprovethevisualrealismandphysicalrealisminimageprocessing[3],[4].Shadowremovalisnowanpopularresearchdirectionincomputervisionandimageprocessingcommunities.Manyshadowremovalapproacheshavebeenproposedinthelastdecade(see[2],[5],and
8、[6]forasurvey).Asim