基于人眼视觉特性的图像增强算法研究本精Word文档下载推荐.docx
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variations.ComputerVision,Graphics,andImageProcessing,1987,39(3:
355~368[9]JonesRD,TjahjadiT.Astudyofmodificationofthelocalhistogramequalizationalgorithm.PatternRecognition,1993,26(9:
1373~1381[10]KimJY,KimLS,HwangSH.Anadvancedcontrastenhancementusingpartiallyoverlappedsub-blockhistogramequalization.IEEETransactionsonCircuitsandSystemsforVideoTechnology,2001,11(4:
475~477[11]CasellesV,LisaniJL,MorelJM,etal.Shapepreservinglocalhistogrammodification.IEEETransactionsonImageProcessing,1999,8(2:
220~230[12]MallatS.Atheoryformultiresolutionsignaldecomposition:
Thewaveletrepresentation.IEEETransactiononPAMI,1989,11(7:
674~693[13]CrouseMS,NowakRD,BaraniukRG.Wavelet-basedstatisticalsignalprocessingusinghiddenMarkovmodels.IEEETransactionsonSignalProcessing,1998,46(4:
886~902[14]StrelaV,HellerPN,StrangG,etal.Theapplicationofmultiwaveletfilterbankstoimageprocessing.IEEETransactionsonImageProcessing,1999,8(4:
548~563[15]DonohoDL.Denoisingbysoft-thresholding.IEEETransactionsonInformationTheory,1995,41(3:
613~62736
[16]LaineAF,SchulerS,JianF,etal.Mammographicfeatureenhancementbymultiscaleanalysis.IEEETransactionsonMedicalImaging,1994,13(4:
725~740[17]彭冬亮,降质图像处理方法及其在机器人视觉系统中的应用:
[博士论文],浙江:
浙江大学,2003[18]BoltonAG,BrownSF,MoranW.AcomputationallyefficientalgorithmforXX大学XX学院201X届XXXX专业毕业设计enhancinglinearfeaturesinimages.PatternRecognition,1996,29(12:
2017~2023[19]SattarF,FlorebyL,SalomonssonG,etal.Imageenhancementbasedonanonlinearmultiscalemethod.IEEETransactionsonImageProcessing,1997,6(6:
888~895[20]WeickertJ.Coherence-enhancingdiffusionfiltering.InternationalJournalofComputerVision,1999,13(2:
111~127StudyontheImageEnhancementBasedontheHumanVisionPropertyXXXX(DepartmentofPhysics,DeZhouUniversity,Dezhou,283013Abstract:
Imageenhancementcouldachieveabettervisualeffectandimprovethehumaneye’sabilitytoidentifyinformation.Moreover,asapreconditioningtechnique,itcanmaketheprocessedimagesmoresuitablethantheoriginalonestodothefollowinganalysissuchasparameterestimation,imagesegmentation,object37
recognitionandsoon.Thus,thestudyonenhancementhasalwaysbeenbeingoneofthemaincontentsinimageprocessingfield.However,thetraditionalimageenhancementalgorithmsbasedonhistogramhaveseveralshortcomings.1Theinformationcarriedbygraylevelsisinconsistentwithitsstatisticdatainconventionalhistogram.2Theconventionalhistogramequalizationhasnotmadefulluseofthevisualsensitiveregionsintheprocessofgrayleveladjustment.3Theparameterscannotbeoptimizedonandconfiguredadaptivelyinviewofthevariabilityoftheimagecontent.Tocopewiththeseproblems,therelativedetailedworkcanbeconcludedasfollows.First,toovercomethedrawbackofconventionalhistogram,anovelhistogramconstructionmethodhasbeenproposedbasedonvisualattentionmechanism.Boththequantityandspacedistributionareconsideredinthestatisticprocessofgraylevels.Theimportanceofgraylevelsindifferentpositionscanbecalculatedbyusingthecomputationalmodelofvisualattentionmechanism.Meanwhile,thestatisticresultsareXX大学XX学院201X届XXXX专业毕业设计weightedaccordingtotheimportanceofeverypixel.Thenewhistogrammethodcouldreflecttheinfluenceofthegraylevelsontheimageinformationobjectively.Second,inordertoconsiderthenonlinearcharacterofvisualperceptionintheprocessofgrayleveladjustmentfully,ithasbeenraisedthatdifferentamountsofgraylevelinformationaredistributedtodifferentvisualsensitiveregions.Theregionwithhighsensitivityshouldbeallocatedmoreinformation.Andthemaingraylevelsareconstrainedbyusingtheperceptionabilitycurveofhumaneyes,avoidingthemoccupyinglargespaceintheexpandingprocessofhistogram.Finally,inordertoobtainbetterimageenhancementresults,theproportionsofhistograminformationdistributedtoeveryvisualsensitiveregionshouldbeadjustedduetothevariabilityofimagecontent.Thus,anadaptivemethodtoobtaintheoptimalregulatingparametersisproposedbasedontheanalysisoftheimage.致谢38
在论文完成之迹,我要感谢我的导师XXX老师在论文题目的选定、研究方案的制定以及后期论文的修改工作中给出了许多宝贵的建议,并且给予了我极大的关心和帮助。
使我顺利完成了论文的撰写和课题的研究,让我在毕业之际,度过了一个充实而又有意义的学期,在此向X老师表示由衷的感谢!
此外,然后还要感谢大学四年来所有的老师,为我们打下专业知识的基础;
同时还要感谢所有的同学们,正是因为有了你们的支持和鼓励。
此次毕业设计才会顺利完成。
在此我再次向XX学院关心过我的敬爱的老师和亲爱的同学们表示崇高的敬意和衷心的感谢!
最后,感谢我的母校—XX大学四年来对我的大力栽培。
我还要感谢培养我长大含辛茹苦的父母,谢谢您们!
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