基于fpga的雾天图像恢复算法研究

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1、ABSTRACTTheeffectivenessofoutdoorvisionsystemsaregreatlylimitedinfoggyconditionsforthevideoandimagescapturedbyimagingdevicedegradesbecauseoftheatmospherescattering.Real-timerecoveryforthefoggingvideoandimageshasimportantpracticalsignificance.Thisthesisstudiedthefoggyimagedegradationmodelbasedo

2、nanalysisoffoggingimagedegradationmechanism.Aneffectivedefoggingalgorithmwithlowcomplexityisproposed.Thealgorithmachievedreal-timeclarificationforvideoandimagescombinedwithparallelprocessingapproachandthe"pipeline"structureofFPGA.Themaincontentsareasfollows:1)Thedegradationmechanismoffoggyimag

3、eandtheatmosphericscatteringmodelwerein-depthanalyzed.Advantagesanddisadvantagesoftwoimagede-hazingalgorithmsbasedonatmosphericscatteringwereexpoundedafterdiscussedindetail.Alloftheseworkmadefulltheoreticalpreparationsforfollowingstudy.2)Fordarkchannelprioralgorithmhasmanyshortcomingssuchasexi

4、stinghaloswhenprocessingskyarea,highcomplexityandhighresourceconsumptionwhenimplementedontheFPGA.Afastdarkchannelpriordefoggingalgorithmisproposed.Firstofall,thephenomenonofhaloinskyareawassolvedandalsothehardwareresourceconsumptionwasreducedbysettingthresholdvaluetoatmosphericlightA.Thenoptim

5、izedsolvingmethodsoftransmission,transformedtheserialcomputingofthetransmissionandatmosphericlighttoparallelcomputing.FinallyaccordingtothecircuitdesigncharacteristicsoftheFPGA,introducedguidedfilteringinsteadofsoftmattingwhichcomplexityisunrelatedtothewindowsize,thusimprovedtheefficiencyofalg

6、orithm.3)Asetofimagede-hazingsystembasedonDE2-70boardashardwareplatformwasdevelopedinthisthesis.Thehardwarecircuitsoffastdarkchannelprioralgorithmweredesignedafterdesigningofoverallarchitecture,thenfulfilledthetransplantofthealgorithm’sFPGAplatform.Someimportantpartofthemodules,suchasthedarkch

7、annelmodule,atmosphericlightmoduleandDehazemoduleweresimulated.Finallyachievedreal-timefoggyimagerecovery.4)Theresultsofthealgorithm’sMATLABsimulationshow,thefastdarkIII万方数据channelprioralgorithmproposedinthisarticleprocessesquickly,andt