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多DSP图像融合算法设计及优化.docx

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多DSP图像融合算法设计及优化 Title:DesignandOptimizationofMulti-DSPImageFusionAlgorithm Abstract: Imagefusionplaysavitalroleinenhancingthequalityandinterpretabilityofimagesforvariousapplicationssuchassurveillance,targetrecognition,andremotesensing.Inthispaper,weproposeamulti-DSP(DigitalSignalProcessor)imagefusionalgorithmthatcombinesthestrengthsofmultipleDSPstoachievesuperiorfusionresults.Wealsopresentoptimizationtechniquestofurtherenhancetheefficiencyandaccuracyofthealgorithm.Experimentalresultsdemonstratetheeffectivenessoftheproposedalgorithmintermsofimagequality,computationalefficiency,androbustness. Keywords:imagefusion,multi-DSP,algorithmdesign,optimization,imagequality 1.Introduction Imagefusioninvolvescombininginformationfrommultipleimagestocreateasinglecompositeimagethatcontainsenhanceddetailsandimprovedvisualquality.Inrecentyears,therehasbeenasignificantadvancementinimagefusiontechniquesduetotheavailabilityofpowerfulhardwareplatformssuchasDSPs.DSPsarewell-suitedforimageprocessingtasks,includingimageenhancement,denoising,andfusion,duetotheirparallelprocessingcapabilitiesandoptimizedarchitecture. 2.RelatedWork Previousresearchonimagefusionalgorithmshasmainlyfocusedontraditionalmethodssuchaspixel-levelfusion,feature-levelfusion,anddecision-levelfusion.However,thesealgorithmsoftensufferfromlimitationsintermsofcomputationalefficiencyandfusionquality.Theemergenceofmulti-DSPsystemsprovidesanopportunitytoovercometheselimitationsbyleveragingtheparallelprocessingpowerofDSPs. 3.Multi-DSPImageFusionAlgorithm Theproposedmulti-DSPimagefusionalgorithmconsistsofseveralkeysteps:imageacquisition,imagepreprocessing,featureextraction,featurefusion,andimagereconstruction.EachstepisexecutedconcurrentlyonmultipleDSPstoexploittheirparallelprocessingcapabilities. 3.1ImagePreprocessing Imagepreprocessinginvolvesnoiseremoval,imageenhancement,andregistrationtoalignmultipleinputimages.DSPsareutilizedtoperformthesetasksinparallel,resultinginreducedprocessingtime. 3.2FeatureExtraction Featureextracti