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一种提高CMOSsensor自动曝光调节速度的方法 Title:AMethodtoImprovetheAutomaticExposureAdjustmentSpeedofCMOSSensors Abstract: CMOS(ComplementaryMetal-Oxide-Semiconductor)sensorshavebecometheprimarychoiceforimagesensingduetotheirlowpowerconsumption,highintegration,andflexibility.AutomaticexposureadjustmentisacriticalfeatureofCMOSsensors,allowingthemtoadapttodifferentlightingconditionsandcapturehigh-qualityimages.However,thespeedofautomaticexposureadjustmentinCMOSsensorscanbealimitingfactorwhenitcomestocapturingrapidlychangingscenes.ThispaperproposesanovelmethodtoenhancethespeedofautomaticexposureadjustmentinCMOSsensors,improvingtheirperformanceindynamicenvironments. 1.Introduction: CMOSsensorsarewidelyusedinvariousapplications,includingdigitalcameras,surveillancesystems,andmobiledevices.Theautomaticexposureadjustmentfeatureiscrucialtoensureoptimalimagecapture.Itaimstomaintainasuitableexposurelevelthatbalancesbrightness,contrast,anddetailindifferentlightingconditions.However,thetraditionalautomaticexposureadjustmentalgorithmsmaynotrespondquicklyenoughtorapidlychangingscenes,leadingtomotionblurorunder/over-exposure.Hence,thereisaneedtoimprovethespeedofautomaticexposureadjustmentinCMOSsensors. 2.ChallengesinAutomaticExposureAdjustment: SeveralchallengeshinderthespeedofautomaticexposureadjustmentinCMOSsensors.Onechallengeistheruntimeoverheadassociatedwithprocessingalargenumberofpixelsinreal-time.Additionally,determiningtheoptimalexposurelevelrequiresprecisecalculationsbasedonsceneanalysis,whichcanbetime-consuming.Moreover,thelimiteddynamicrangeofCMOSsensorsposesachallengewhenitcomestohandlingsceneswithhighcontrast. 3.ProposedMethod: ToaddresstheaforementionedchallengesandimprovethespeedofautomaticexposureadjustmentinCMOSsensors,weproposeanovelmethodthatcombineshardwareandsoftwareoptimizations.Thekeycomponentsofourmethodinclude: 3.1Region-of-Interest(ROI)Detection: Ratherthananalyzingtheentireimage,ourmethodfocusesondetectingtheregionofinterest(ROI)withintheframethatrequiresexposureadjustme

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