现代电子技术2011，Vol.34Issue(24)：96-98,3.
一种基于非采样Contourlet变换的图像融合算法
Image Fusion Algorithm Based on Non-sampling Contourlet Transformation
摘要
Abstract
An infrared and visible iamge fusion algorithm based on non-sampling Contourlet transform (NSCT) is put forward according to the physical charcteristics of infrared and visible imaging sensor. The NSCT for the original images is conducted to get the sub-band coefficients at different scales and directions. The weighted average fusion rule is adopted for the low frequency sub-band coefficients, while the fusion rule based on the local area energy matching is employed for the high frequency sub-band coefficient at different scales and directions. Then the image fusion is achieved by the aid of the non-sampling Contourlet inverse transformation. The fusion result shows that the algorithm can effectively composite the important information in visible and infrared images. The fusion result is beter than the typical image fusion algorithm based on the pyramidal decomposition and wavelet transform in subjective vision effect and objective evaluation index.关键词
图像融合/非采样Contourlet变换/红外图像/可见光图像Key words
image fusion/ non-sampling Contourlet transform) infrared image/ visible image分类
信息技术与安全科学引用本文复制引用
黄克宇,李敏,何玉杰,梁婷..一种基于非采样Contourlet变换的图像融合算法[J].现代电子技术,2011,34(24):96-98,3.基金项目
中国博士后科学基金一等资助课题:地面目标红外特性及验证方法关键技术研究(20090450206) （20090450206）
军队武器装备预先研究课题:XX多源基准信息制备技术(2009D1302,2010D2301) （2009D1302,2010D2301）
国家自然科学基金:临近空间SAR信息建模与数据处理关键技术研究(61072141) （61072141）
