您好,欢迎访问三七文档
当前位置:首页 > 行业资料 > 国内外标准规范 > 基于小波变换的图像融合算法研究
学号:题目:基于小波变换的图像融合算法研究作者届别系别专业指导老师职称完成时间摘要图像融合是以图像为主要研究内容的数据融合技术,是把多个不同模式的图像传感器获得的同一场景的多幅图像或同一传感器在不同时刻获得的同一场景的多幅图像合成为一幅图像的过程。本文给出了一种基于小波变换的图像融合方法,并针对小波分解的不同频率域,分别讨论了选择高频系数和低频系数的原则。高频系数反映了图像的细节,其选择规则决定了融合图像对原图像细节的保留程度。本文在选择高频系数时,基于绝对值最大的原则,低频系数反映了图像的轮廓,低频系数的选择决定了融合图像的视觉效果,对融合图像质量的好坏起到非常重要的作用。关键词小波变换;高频系数;低频系数;图像融合IAbstractImagefusionisimageasthemainresearchcontentsofthedatafusiontechnology,Theimagesensoristoputanumberofdifferentpatternsofthesamesceneimage,orthesamesensoratdifferenttimegetmoreofthesamesceneimagesynthesisforanimageoftheprocess.Inthispaper,theimagefusionmethodbasedonwavelettransform,andforthewaveletdecompositionofthefrequencydomain,respectively,discussedtheprinciplesofselecthigh-frequencycoefficientsandlowfrequencycoefficients.Thehigh-frequencycoefficientsreflectthedetailsoftheimage,theselectionrulestodeterminetheextentofanyreservationsofthefusedimageontheoriginalimagedetail.Thechoiceofhigh-frequencycoefficients,basedontheprincipleofmaximumabsolutevalue,andconsistencyverificationresults.Thelow-frequencycoefficientsreflectthecontoursoftheimage,thechoiceofthelowfrequencycoefficientsdeterminethevisualeffectofthefusedimage,playaveryimportantroleinthefusedimagequalityisgoodorbad.KeywordsWavelettransform;High-frequencycoefficients;Lowfrequencycoefficients;ImageFusionII目录摘要.......................................................................................................................IAbstract...............................................................................................................II目录....................................................................................................................III第一章绪论........................................................................................................11.1课题研究的背景.......................................................................................11.2课题研究的意义......................................................................................11.3图像融合面临的问题..............................................................................21.4本文的主要内容......................................................................................3第二章小波变换理论基础..............................................................................42.1小波变换...................................................................................................42.1.1小波变换的思想................................................................................42.1.2连续小波变换...................................................................................52.1.3离散小波变换...................................................................................52.1.4二进小波变换...................................................................................62.2多分辨率分析与离散小波快速算法......................................................62.2.1多分辨率分析...................................................................................62.2.2离散小波变换的快速算法...............................................................72.3几种常用的小波.......................................................................................82.4本章小结.................................................................................................10第三章基于小波变换的图像融合方法研究..............................................113.1图像融合概述........................................................................................113.2图像融合的方法....................................................................................113.3基于小波变换的图像融合算法原理....................................................123.3.1基于小波分解的融合算法流程.....................................................123.3.2高频系数融合规则.........................................................................133.3.3低频系数融合规则.........................................................................153.4本章小结................................................................................................16第四章实验仿真及分析................................................................................174.1MATLAB软件简介...............................................................................174.2图像的小波分解与重构........................................................................174.3基于小波变换的图像融合程序流程图................................................194.4实验结果................................................................................................204.5结果分析................................................................................................224.6本章小结................................................................................................22第五章总结与展望..........................................................................................23参考文献............................................................................................................24致谢..............................................................................................................25附录....................................................................................................................26III1第一章绪论1.1课题研究的背景伴随着21世界的
本文标题:基于小波变换的图像融合算法研究
链接地址:https://www.777doc.com/doc-5109334 .html