基于改進(jìn)梯度函數(shù)的圖像質(zhì)量評(píng)價(jià)及l(fā)aplace算子邊緣檢測(cè)新方法的研究

1、I分類號(hào)：密級(jí)：學(xué)號(hào)：2006092單位代碼：10407碩士學(xué)位論文論文題目:基于改進(jìn)梯度函數(shù)的圖像質(zhì)量評(píng)價(jià)及基于改進(jìn)梯度函數(shù)的圖像質(zhì)量評(píng)價(jià)及LaplaceLaplace算子邊緣檢測(cè)新方法的研究算子邊緣檢測(cè)新方法的研究研究方向圖像處理圖像處理專業(yè)名稱計(jì)算機(jī)應(yīng)用技術(shù)計(jì)算機(jī)應(yīng)用技術(shù)研究生姓名陳志輝陳志輝導(dǎo)師姓名、職稱劉小生劉小生教授教授20082008年1010月1010日江西贛州江西贛州IIIAbstractWiththeextensiv

2、eapplicationofdigitalimagevideotheissueofdigitalimagequalityassessmentbecomesmemeimptant.Asabasicproblemofimageprocessingimagequalityassessmentisnotonlyimptantintheybutalsowantedinwidebackgroundsofapplication.Digitalimag

3、equalityassessmentusuallycanbedividedintosubjectiveassessmentobjectiveassessment.Subjectiveassessmentmethodistedioustimeconsumingcannotbeimplementedinrealtime.Objectiveassessmentmethodsareclassifiedintothreecategies:Full

4、Referencequalityassessment(FRQA)ReducedReferencequalityassessment(RRQA)NoReferencequalityassessment(NRQA).Thefmertwotypesofresearcharefullydevelopedthelatterisarelativelynewfield.AsthedevelopmentofthehumanvisualsystemThe

5、rehavebeenthreetypesofimagequalityassessmentmethod:imagequalityassessmentbasedonHumanVisualSystem(HVS)imagequalityassessmentbasedontheconcernedfactsimagequalityassessmentbasedonstructuraldisttion.Theimagequalityassessmen

6、tbasedontheconcernedfactsthefactscanbetteraffecttheimagequalitydisttionthereasonstheresultsoftheassessmentcanbetterreflectthehumanvisualexperience.Thisdissertationintroducestheimptanceofimageinfmationthedefinitionofimage

7、qualityassessmentsummarizescomparessometypicalimageassessmentmethodsatpresentanalyzestheacteristicsofHumanVisualSystemshowstheimptancenecessityofconsideringHVSinimagequalityassessment.Consideringconcernedfactsthedisserta

8、tionproposesanewmethodofimagequalityassessment.AccdingtotheacteristicofHVSextractsthreeindicatsthatinfluenceimagequalityi.e.brightnessclarityrelevance.Thenthedissertationintegratesthethreeindicatsgetstheimagequality.This

9、methodfullyintegratestheacteristicsofHVSthebrightnessindicatisconsistentwiththeexpressioninspatialdomaintheclarity(blur)referstotheproptionofhighfrequencycomponentsinthefrequencydomainusingImprovedGradientFunctiontoexpre

10、ssion.TheImprovedGradientFunctionisthroughtheeightdirectionsoftheeachofpixelofimagetoachievethevalueofthegradient.relevanceindicatisusingthesimilarityoftwoimagestoexpression.Evaluatethedifferentofdisttionofimageobtainthe

11、weightofthreefactsthroughtheexperiment.UsingtheweightofthreefactsevaluatetheimageofknowtypesofdisttiontheresultscanbetterreflecttheHumanVisualSystem.Themethodsnotonlyaffecttheimagequalityoftherelevantfactstheacteristicso