淮阴师范学院毕业论文（设计）摘要图像是一种重要的信息源，通过图像处理可以帮助人们了解信息的内涵。数字图像噪声去除涉及光学系统、微电子技术、计算机科学、数学分析等领域，是一门综合性很强的边缘科学，如今其理论体系已十分完善，且其实践应用很广泛，在医学、军事、艺术、农业等都有广泛且成熟的应用。MATLAB是一种高效的工程计算语言，在数值计算、数据处理、图像处理、神经网络、小波分析等方面都有广泛的应用。MATLAB是一种向量语言，它非常适合于进行图像处理。本文概述了小波阈值去噪的基本原理。对常用的几种阈值去噪方法进行了分析比较和仿真实现。最后结合理论分析和实验结果，讨论了一个完整去噪算法中影响去噪性能的各种因素。为实际的图像处理中，小波阈值去噪法的选择和改进提供了数据参考和依据。关键字：小波变换图像去噪阈值MATLABAbstractImageisonekindofimportantinformationsource,mayhelpPeoplethroughtheimageryprocessingtounderstandtheinformationtheconnotation.Thedigitalimagede-noiseinvolvesdomainsandsoonopticalsystem,microelectronictechnology,computerscience，mathematicalanalysis,it’saverycomprehensiveinterdisciplinaryscience,nowitspracticeapplicationisverywidespread:Inthemedicine,themilitary,art,theagricultureandallhaveveryextensiveandripeusingsoon.MATLABisonekindofhighlyeffective淮阴师范学院毕业论文（设计）engineeringcalculationlanguage，inaspectsandsoonvaluecomputation,dataprocessing,imageryprocessing,neuralnetwork,waveletanalysisallhasthewidespreadapplication.Thisarticlehasstatedthetheoryofwaveletthresholddenoising，thendonecomparingexperimentsusingseveralgoodthresholddenoisingmethods．Finallyaccordingtothetheoryanalysisandsimulationresults，thepaperdiscussesseveralkindsoffactorswhichaffectthedenoisingcapabilityinacompletedenoisingalgorithm．Thatprovidesthedatereferenceofthresholddenoisingmethodsinactualimageprocess．Keywords:Wavelettransformation;Imagedenoising;Waveletthreshold;MATLAB目录1前言...........................................................................................................................................12图像与噪声.................................................................................................................................32.1噪声图像模型及噪声特性..................................................................................................32.1.1含噪模型......................................................................................................................32.1.2噪声特性....................................................................................................................33图像去噪方法...........................................................................................................................5淮阴师范学院毕业论文（设计）3.1传统去噪方法....................................................................................................................53.1.1空域滤波......................................................................................................................53.1.2频域低通滤波法..........................................................................................................63.2小波去噪.........................................................................................................................93.2.1小波去噪的研究现状...................................................................................................93.2.3小波去噪方法..............................................
