中国光学2011，Vol.4Issue(5)：489-496,8.
非下采样变换的红外与可见光图像融合
Infrared and visible image fusion based on nonsubsampled Contourlet transform
陈小林 1王延杰1
作者信息
- 1. 中国科学院长春光学精密机械与物理研究所,吉林长春130033
- 折叠
摘要
Abstract
A fusion algorithm based on the Nonsubsampled Contourlet Transform（NSCT） is proposed to fuse infrared and visible images.A weighted averaging′ scheme based on the physical features of infrared and visible images and a selection principle based on the local energy matching are presented for the low frequency subband coefficients and the high frequency subband coefficients,respectively.Experimental results show that the NSCT has a fast computing ability and can provide more image information due to the concentration energy by image processing.As compared to the image fusion algorithm based on pixels,this algorithm has higher fusion performance,and is a Multiscale Geometric Analysis（MGA） tool more suitable for image fusion.关键词
图像融合/多尺度几何分析/非下采样Contourlet变换/区域能量匹配Key words
image fusion/Multiscale Geometric Analysis（MGA）/nonsubsampled Contourlet transform/regional energy matching分类
信息技术与安全科学引用本文复制引用
陈小林,王延杰..非下采样变换的红外与可见光图像融合[J].中国光学,2011,4(5):489-496,8.
