基于小波分析的图像融合方法的研究

Image Fusion Based on Wavelet Analysis Method

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。

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.