基于加權(quán)幀間平移模型的視頻信號處理.pdf

1、聲明本學(xué)位論文是我在導(dǎo)師的指導(dǎo)下取得的研究成果，盡我所知，在本學(xué)位論文中，除了加以標(biāo)注和致謝的部分外，不包含其他人已經(jīng)發(fā)表或公布過的研究成果，也不包含我為獲得任何教育機(jī)構(gòu)的學(xué)位或?qū)W歷而使用過的材料。與我一同工作的同事對本學(xué)位論文做出的貢獻(xiàn)均己在論文中作了明確的說明。研究生簽名：攙塋：簽勱B年夠月汐日學(xué)位論文使用授權(quán)聲明南京理工大學(xué)有權(quán)保存本學(xué)位論文的電子和紙質(zhì)文檔，可以借閱或上網(wǎng)公布本學(xué)位論文的部分或全部內(nèi)容，可以向有關(guān)部門或機(jī)構(gòu)送交并

2、授權(quán)其保存、借閱或上網(wǎng)公布本學(xué)位論文的部分或全部內(nèi)容。對于保密論文，按保密的有關(guān)規(guī)定和程序處理。研究生簽名：年月日AbstractWiththerapideconomicdevelopmentoftheinformationsocietytherequirementforthequalityofvideosignalsisbecominghigherandhigherThesepromotedthatmultimedia(especia

3、llyvideo)industryandtheirtechnologyareboomingOnthemilitarythevideotechnologyisusedinmissileguidance，tanksandwarshipssimulationtrainingInaddition，itiswidelyusedintrafficmonitoring，fingerprintidentification，faceidentificat

4、ion，etcHoweverthevideosignalmaybeaffectedbyblurdesamplingandnoiseintheprocessofformationandtransmissionInordertomeetthehighqualityrequirementofvisual，itisnecessarytoearlyoutaseriesofprocessingforvideosignalMotionestimati

5、oniSmostlyusedintraditionalvideosignalprocessingtechnologybutitscomputationislargeandneedshigheraccuracyInordertoovercomethesedrawbacks，wecalluseotheralgorithmsteplacethemotionestimation，andthisisawisechoiceInthispaperwe

6、putforwardweightedinterflametranslationmodelbasedontheinterframemodel，useittoinsteadt11emotionestimationalgorithm，andovercomesomeofthedrawbacksofthemotionestimationInthispaperwemostlyearlyonthefollowingworksfortheprocess

7、ingofthevideosignalbasedontheweightedinterframetranslationmodel：1Combiningtheinterframemodelandnonlocalaveragealgorithm，weputforwardweightedinterframetranslationmodel，useittoinsteadofmotionestimationinvideosignalprocessi

8、ng，andapplythismodeltomodifytheinterframeequationofthevideosignal2UndertheframeworkofKalman，weusetheweightedinterframetranslationmOdelcombinethetheoryoflinearminimumvariancefusionandtheobservationequationforaddingnoiseeq

9、uation，getanewde—noisingalgorithm，andfinallyusenon10calaverageproposedalgorithmtopost。processSimulationresultsshowthepeaksignaltonoiseratio(PSrofalgorithmby06～16dBThealgorithmdenoisingofvideosignalcomparativeexperimentis

10、non—localaverage3TheobservationequationistheprocessingofdownsamplingandaddingnoisefIororiginalvideoUseasimilarprocessingasthevideodenoisingmethodtogetanewinterpolationalgorithm，andfinallyweusenon—localaveragealgorithmtoc

11、Onductpost‘processingComparativewithexperimentthatthevideosignalisfustdealtwiththenearestnel曲borinterpolation，andthenisdealtwiththenon10calaveragingalgorithmThroughthesimulationexperiments，thePSNRoftheproposedalgorithmin