并行盲圖像恢復(fù)技術(shù).pdf

1、西北工業(yè)大學(xué)碩士學(xué)位論文并行盲圖像恢復(fù)技術(shù)姓名：黃鶴齡申請學(xué)位級別：碩士專業(yè)：計算機應(yīng)用技術(shù)指導(dǎo)教師：趙榮椿20050301西北工業(yè)大學(xué)碩卜學(xué)位論文AbstractTheimageprocessingtimeisveryimportantforsomeapplicationsespeciallyformilitaryusesthereforerealtimeimageprocessinghasbecomearesearchhottopi

2、crecently.Howeverthetraditionalrealtimeimageprocessingsystemsarealwaysdesignedforspecialapplicationhardwareandalgorithmandhavetoberedesignedwhenevertheimageoperationchangeswhichobstructsitsapplicationgreatly.Dependingont

3、heparallelizabilityofdatainimageprocessingthisarticleestablishesaparallelimageprocessingsystemconstitutedbyPCClusterconnectedbytheEthernetonwhichmostofoperationsofimageprocessingcanberunandbecausethewideapplicationoftheP

4、CandEthernetthissystemhasapromisingfuture.Themainresearchworkcanbesummedupasfollow:Establishamilitaryparallelimageprocessingsystemonwhichmostoperationsofimageprocessingcanberun.Afteracomprehensivesurveyintheparallelcompu

5、terarchitecturesthisarticlefinallychoosesthePCClusterconnectedbytheEthernetasthehardwaretobuildthesystemandthendesignamasterslavesoftwaremodelforit.Becauseoftheparallelizabilityofdatainimageprocessingthissystemcanreachah

6、ighefficiencylowexpensegoodexpansibilityandiseasytobedeveloped.Figureouttheconditionsoftheleastexecutiontime.Loadbalancingisoneofthemostimportantquestionsinparallelprocessing.Thisarticleestablishesananalyzingmodelforthea

7、bovesystemandanswerthequestionoftheleastexecutiontime.Theexperimentsfollowedprovethevalidity.DesignandcompleteaparallelblindimagerestorationalgorithmWhatsmorethisarticlealsodesignsandcompleteaparallelblindimagerestoratio

8、nalgorithmdependingonthesystemprovidedabove.Imagerestorationisoneofthemostimportantbranchesinimageprocessingandhasbeenwidelyappliedinlotsoffieldssuchasastronomymedicineremotesensingandindustry.Thetraditionalimagerestorat

9、ionrequiresthepointspreadfunctionoftheblur.butanewtechnologyofblindimageprocessingdont.Obviouslytheblindimagerestorationcanbemoreusefulinrealapplications.Thisarticleanalysestheexistingalgorithmsthendesignsaparalleleditio