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1、維普資訊http://www.cqvip.com第33卷第2期光子學(xué)報(bào)V01.33No.22004年2月ACTAPHOTONICASINICAFebruary2OO4OnImageFusionBasedonDiferentFusionRulesofWaveletTransformTaoGuanqun,LiDapeng2,LuGuanghua1SchoolofElectronicEngineering,XidianUniversity,Xiart710071,China2SchoolofMechanicalEngineering,XidianUniversity,
2、Xiart71~71,Ch/na3SignalProcessingKeyLab,Zh4i~WanliUniven~,Ningbo315100。Ch/naAbstractAnewimagefusionmethodbasedonwavelettransformaccordingtolocalareaenergyofeachpixelispresented.Wavelettransformisusedtoconstructthewaveletcoeficientsoffusedimageusingmultipleoperatorsaccordingtodiferent
3、fusionrules.,I1lefusionresultsbetweenvisualimageandinfraredimageareevaluatedbycomparingstatisticalparametersoffusedimages.,I1ledesignedmethodimpmv~thedefinitionandthespecialqualityofimage,andismoresuitableformultiscalepropertiesofthehumanvisionsystem.KeywordsImagefusion;Wavelettransf
4、orm;Fusionrules;LocalareaenergyCLCNI51DocumentCodeAperformancethanconventionalfusionrules.1MauatSmulti-resolutionanalysisMultiresolutionanalysisofwavelettransformisoneofresearchhotspotsinthesignalandimageprocessingMalletproposedafastdecompositionandandothernumerousfieldsinrecentyears
5、.,I1lereconstructionalgorithmofwavelettransform.Itobjectiveofimagefusionistocombinethedecomposesa2Dimageusingtwoone—dimensionalcomplementaryinformationfrommulti—sensordata,decomposingfiltersandreconstructstheimageusingprovidingfarmorevisioninformationthanori#naltwoone—dimensionalreco
6、nstructingfiltersexactly.Letimages.FusionmodelsatthepixellevelsuchaslinearHk=hkGIgI.2andintroduceinfmitematrix_2J,I,.。superposition,optimizationmethods,andimageHr=(Hk。),Hc=(Hh.
7、,I2),G=(G。)andG=py姍idsaresomeexamples.,I1leexperimentof(,啦),whereHandGaretwoone—dimensionalCamhellandRobson
8、Ltjsuggestthathumansretinacanmirrorfilteroperators[引.Theirsubscript’and”c”processinformationindiferentvisualchannels.Imagerespectivelydenotetherowandcolumnoperationoffusionbasedonwavelettransformisalsocarriedoutinmarx.ThenMalletalgorithmoftwo—dimensionaldiferentfrequencychannelstoobt
9、ainthefin【al