电子学报 ›› 2004, Vol. 32 ›› Issue (5): 750-753.

• 论文 • 上一篇    下一篇

一种基于小波变换的图像融合算法

晁 锐, 张 科, 李言俊   

  1. 西北工业大学航天工程学院,陕西西安 710072
  • 收稿日期:2003-01-16 修回日期:2003-08-28 出版日期:2004-05-25 发布日期:2004-05-25

An Image Fusion Algorithm Using Wavelet Transform

CHAO Rui, ZHANG Ke, LI Yan-jun   

  1. College of Astronautics,Northwestern Ploytechnical University,Xi'an,Shaanxi 710072,China
  • Received:2003-01-16 Revised:2003-08-28 Online:2004-05-25 Published:2004-05-25

摘要: 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.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.文章设计了三种选择低频系数的方案,即平均法、Burt提出的平均与选择相结合的方法和基于边缘的方法.平均法在一定程度上降低了图像的对比度;平均与选择相结合的方法根据两幅图像的相关性采用平均法或选择法;第三种方法是一种基于边缘的方法,在多幅原图像中选择最有可能是边缘的点加以保留,得到的合成图像最清晰.文章最后将提出的算法用于多聚焦图像的融合.从仿真结果可以看出,文中给出的方法可以很好地保留多幅原图像中的有用信息,得到多个目标聚焦都很清晰的融合图像.通过比较可知,如果尺度系数的选择采用第三种方案,融合图像的视觉效果最好.

关键词: 图像融合, 小波变换, 算法

Abstract: A multisensor image fusion algorithm using wavelet transform is proposed in this paper.The principles of choosing high frequency and low frequency coefficients are discussed respectively.While choosing high frequency coefficients,we select these that have maximal absolute values and verify the consistency of these coefficients.When choosing the low frequency coefficients,we design three approaches.The first method is average method,which decreases the contrast of images in some degree.The second method is combination of average and selection proposed by Burt,which uses average method and selective methods alternatively according to the match degree of two images.The third method is based on edges of images,selecting the pixels that might be on the edges possibly from original images.The algorithm is used to fuse several multi-focused images.The results show that this algorithm can preserve all useful information from primitive images and all targets in the fused image are very clear.However,if we choose low frequency coefficients by the third method,the effect of fused image is the best.

Key words: image fusion, wavelet transform, algorithm

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