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基于小波分析的图像融合方法的研究
引用本文:葛庆兵,李开荣.基于小波分析的图像融合方法的研究[J].淮海工学院学报,2010,19(2):24-27.
作者姓名:葛庆兵  李开荣
作者单位:葛庆兵(淮海工学院,计算机工程学院,江苏,连云港,222005);李开荣(扬州大学,信息工程学院,江苏,扬州,225009) 
摘    要:图像融合是多传感器信息融合在图像处理领域的一个重要应用,小波分析具有多分辨等特点,可以有效地将特征明显、分辨率高的图像融合在一起,得到比任何一幅源图像效果都好的图像。论述了基于小波分析的图像融合的基本原理、方法和优点,介绍了基于小波分析图像融合、小波框架图像融合和多小波图像融合等方法,分析比较几种图像融合效果的评价方法及其适用范围等。

关 键 词:图像融合  小波分析  小波变换  小波框架

Image Fusion Based on Wavelet Analysis Method
GE Qing-bing,LI Kai-rong.Image Fusion Based on Wavelet Analysis Method[J].Journal of Huaihai Institute of Technology:Natural Sciences Edition,2010,19(2):24-27.
Authors:GE Qing-bing  LI Kai-rong
Affiliation:1. School of Computer Engineering,Huaihai Institute of Technology,Lianyungang 222005,China; 2. School of Information Engineering,Yangzhou University,Yangzhou 225009,China)
Abstract:Image fusion is an important application of multi-sensor information fusion to image processing. The images obtained by wavelet analysis,which can fuse images with distinctive features and high resolution together for its multi-resolution characteristics,are better than any of the source images. In this paper,the basic principles,methods and advantages of image fusion based on wavelet analysis are introduced. The methods of image fusion based on wavelet analysis,wavelet-frame images and multi-wavelet images are also introduced,and an analysis and comparison is made on their evaluation methods and scopes of application.
Keywords:image fusion  wavelet analysis  wavelet transform  wavelet frame
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