文档介绍：2012届毕业生
毕业设计说明书
题目: 基于小波变换的
图像融合算法的研究与实现
院系名称:信息科学与工程学院专业班级: 电信0803
学生姓名: 学号:
指导教师: 教师职称:
2012 年 6 月1日
摘要
在上个世纪八十年代,小波变换技术开始发展起来,人们看到了它运用于图像融合技术中的潜力,利用其自身特性对图像进行融合得到了更优于其他融合方法的融合性能。小波变换具有空间和频域局部性,利用小波变换可以将待融合图像分解到一系列的频率通道上,这样,当我们进行图像融合时,可以在不同频率的通道上分别进行融合处理,使图像的特征信息得到了完整的保留。
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,并对选择结果进行了一致性验证。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:图像融合小波变换多分辨率分析
Title Wavelet transform based image fusion algorithm
Abstract
Wavelet transform technique in the eighties of the last century, began to develop, people to see it applied to the image fusion technology in the potential use of its own characteristics of the image fusion fusion performance has been better than the other fusion methods. Wavelet transform space and frequency domain localized, using wavelet transform can be fused image and posed into a series of frequency channels, the fusion on a different frequency channel, integration processing, so that the image information of the characteristics of the full reservation.
In the paper, the image fusion method based on wavelet transform, and for the wavelet position of the frequency domain, respectively, discussed the principles of select high-frequency coefficients and low frequency coefficients. The high-frequency coefficients reflect the details of the image, the selection rules to determine the extent of any reservations of the fused image on the original image detail. The choice of high-frequency coefficients, based on the principle of maximum absolute value, and consistency verification results. The low-frequency coefficients reflect the contours of the image, the choice of the low frequency coefficients determine the visual effect of the fused image, play a very important role in the fused image quality is good or bad
Keywords: Image Fusion Wavelet Transform Multi-resolution analysis
目次
1 绪论 1
课题的研究背景及意义 1
图像