摘要
提出了基于树状小波分解的多传感器图像融合方法 ,它能够在一定的能量准则下 ,自适应地根据图像特征进行子带分解和融合 .对可见光图像与红外图像、可见光图像与毫米波图像进行融合的实验结果表明 ,所提出的方法比传统的金字塔形小波分解具有更好的融合效果 .
An algorithm for multisensor image fusion was proposed based on tree-structure wavelet decomposition. Under some special energy rules, it can adaptively implement subband decomposition and image fusion according to the image features. Experimental results of visible image and infrared image fusion, visible image and millimeter wave image fusion were given, which show the proposed method can achieve better fusion performance than the traditional pyramid wavelet decomposition.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2001年第3期219-222,共4页
Journal of Infrared and Millimeter Waves
基金
国家自然科学技术基金 (编号 6 0 0 75 0 0 8)资助项目&&
关键词
多传感器图像融合
小波变换
树状小波
multisensor image fusion
wavelet transform
tree-structure wavelet
