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基于导向滤波的鬼影消除多曝光图像融合.docx

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基于导向滤波的鬼影消除多曝光图像融合 Title:GhostSuppressionandImageFusioninMulti-ExposureImageusingGuidedFilter 1.Introduction(200-250words) Multimodalimagingtechniques,suchashighdynamicrange(HDR)andexposurefusion,havegainedsignificantattentioninrecentyearsduetotheirabilitytocaptureawiderrangeoflightintensities.However,capturingmultipleexposuresofthesamesceneoftenresultsintheappearanceofghostingartifactsinthefinalmergedimage.Theseartifactsoccurduetomisalignmentsormovementsbetweenthedifferentexposures,leadingtovisibleinconsistenciesinthefinaloutput.Inordertoaddressthisissue,thispaperpresentsanovelapproachbasedonguidedfiltertoeffectivelysuppressghostingartifactsandmergemultipleexposuresintoasingle,visuallypleasingimage. 2.BackgroundandRelatedWork(200-250words) Thissectionprovidesanoverviewoftheexistingmethodsforghostartifactsuppressionandimagefusioninmulti-exposureimages.Itdiscussesthelimitationsoftraditionalmethods,suchasgradient-domainblendingandpixel-wiseoperations,whichoftenfailtoproducesatisfactoryresultsincomplexsceneswithhighdynamicrangesandmovingobjects.Theimportanceoftheguidedfilterinimageprocessing,especiallyinedge-preservingsmoothingandlocalfiltering,isalsohighlighted.Recentadvancementsinguidedfilter-basedtechniquesforghostartifactreductionandimagefusionarereviewed,emphasizingtheirpotentialforimprovingthequalityofmulti-exposureimagemerging. 3.Methodology(300-350words) Theproposedmethodologyconsistsoftwomainstages:ghostartifactsuppressionandimagefusion.Firstly,aguidedfilterisemployedtoestimateaninitialbackgroundimagebyselectivelypreservingthestructureanddetailsoftheinputexposures.Byusingtheguidedfilter,thecharacteristicpatternsofthebackgroundareaccuratelycaptured,thussuppressingtheghostingeffectscausedbymisalignmentsormovingobjects.Inthesecondstage,afusionalgorithmisappliedtocombinetheproperlyalignedexposuresintoasingleimagewhilepreservingthedetailsanddynamicrangeofthescene.Thefusionalgorithmutilizesweightedaverageandgradient-basedtechniquestoensurethatboththehighlightsandsha