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基于Radon变换的运动模糊方向估计的改进算法研究（英文）.docx

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基于Radon变换的运动模糊方向估计的改进算法研究（英文） Abstract: Motionblurisacommonprobleminimageprocessing,whichdegradesthevisualqualityofimages.Acommonapproachtoeliminatemotionbluristoestimatethemotionblurdirectionandthenapplyadeblurringfiltertorestoretheimage.Inthispaper,weproposeanimprovedalgorithmformotionblurdirectionestimationbasedonRadontransform.Ouralgorithmemploysacombinationofdirectionalgradientfilteringandfrequencyanalysistoimprovetheaccuracyofblurdirectionestimation.ExperimentalresultsshowthatouralgorithmoutperformsthetraditionalRadontransformbasedapproachintermsofaccuracyandrobustness. Introduction: Motionblurisacommonlyencounteredprobleminimageprocessing,whichiscausedbyrelativemovementbetweenthecameraandobjectsduringimagecapture.Theresultingblurdegradesthevisualqualityofimagesandmakesimageanalysistaskssuchasobjectrecognitionandtrackingmoredifficult.Therefore,deblurringisanimportanttaskinimageprocessing,andmotionblurdirectionestimationisakeystepinthedeblurringprocess.Variousmethodshavebeenproposedintheliteratureformotionblurdirectionestimationbasedonimagecharacteristics,suchasedgesandtexture.Radontransformisoneofthemostwidelyusedmethodsformotionblurdirectionestimationduetoitseffectivenessandsimplicity. TheRadontransformisamathematicaloperationthattransformsanimageintoaprojectionsspace,whereeachprojectioncorrespondstothesumofimageintensitiesalongacertaindirection.Theprojectionscanbeanalyzedtoidentifythedominantdirectionofmotionblur.However,theaccuracyandrobustnessofthetraditionalRadontransformbasedapproachcanbeaffectedbyvariousfactorssuchasnoiseandimagetexture.Inthispaper,weproposeanimprovedalgorithmformotionblurdirectionestimationbasedonRadontransformthataddressesthesechallenges. Methodology: Ourproposedalgorithmconsistsofthreemainsteps:gradientfiltering,Radontransform,andfrequencyanalysis.Firstly,thedirectionalgradientfiltersareappliedtoemphasizetheedgesandremovenoise.Then,theRadontransformisusedtoobtainthesetofprojectionsofthefilteredimagealongdifferentdirections.Finally,fr