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1、外文资料SURVEYOFIMAGEDENOISINGTECHNIQUESMurkeshC.MotwaniImageProcessTechnology,Inc.1776BackCountryRoadReno,NV89521USA(775)448-7816mukesh@image-process.comMurkeshC.GadiyaUniversityofPune,IndiaVishwakarmaInst.ofTech.Pune,INDIA91-mukesh_gadiya@satyam.comRakhiC.MotwaniUniver
2、sityofNevada,RenoDeptofComp.Sci.&Engr.Reno,NV89557USA(775)853-7897FrederickC.Harris,Jr.UniversityofNevada,RenoDeptofComp.Sci.&Engr.,Reno,NV89557USA(775)784-6571AbstractRemovingnoisefromtheoriginalsignalisstillachallengingproblemforresearchers.Therehavebeenseveralpubl
3、ishedalgorithmsandeachapproachhasitsassumptions,advantages,andlimitations.Thispaperpresentsareviewofsomesignificantworkintheareaofimagede-noising.Afterabriefintroduction,somepopularapproachesareclassifiedintodifferentgroupsandanoverviewofvariousalgorithmsandanalysisi
4、sprovided.Insightsandpotentialfuturetrendsintheareaofde-noisingarealsodiscussed.1.IntroductionDigitalimagesplayanimportantrolebothindailylifeapplicationssuchassatellitetelevision,magneticresonanceimaging,computertomographyaswellasinareasofresearchandtechnologysuchasg
5、eographicalinformationsystemsandastronomy.Datasetscollectedbyimagesensorsaregenerallycontaminatedbynoise.Imperfectinstruments,problemswiththedataacquisitionprocess,andinterferingnaturalphenomenacanalldegradethedataofinterest.Furthermore,noisecanbeintroducedbytransmis
6、sionerrorsandcompression.Thus,de-noisingisoftenanecessaryandthefirststeptobetakenbeforetheimagesdataisanalyzed.Itisnecessarytoapplyanefficientde-noisingtechniquetocompensateforsuchdatacorruption.Imagede-noisingstillremainsachallengeforresearchersbecausenoiseremovalin
7、troducesartifactsandcausesblurringoftheimages.Thispaperdescribesdifferentmethodologiesfornoisereduction(orde-noising)givinganinsightastowhichalgorithmshouldbeusedtofindthemostreliableestimateoftheoriginalimagedatagivenitsdegradedversion.Noisemodelinginimagesisgreatly
8、affectedbycapturinginstruments,datatransmissionmedia,imagequantizationanddiscretesourcesofradiation.Differentalgorithmsareuseddepen
