一种基于局部能量的图像融合方法  

An adaptive image fusion algorithm based on local energy

作　　者：周锐锐[1] 陈振华[1] 毕笃彦[1] 

机构地区：[1]空军工程大学工程学院四系信号与信息处理实验室,陕西西安710038

出　　处：《中国体视学与图像分析》2006年第3期226-229,共4页Chinese Journal of Stereology and Image Analysis

摘　　要：本文提出了一种基于局部能量的自适应图像融合方法。首先对原始图像进行小波分解,得到低频和高频子图像。然后分别计算高频子图像的局部能量,再根据不同图像的相应局部能量,计算局部能量熵,并根据值局部能量熵构造融合系数,从而实现图像融合。最后通过小波反变换,得到完整的融合。实验结果表明该方法有较好的融合效果。In this paper, an adaptive image fusion algorithm based on local energy is proposed. Firstly, the wavelet transform is used to perform a multiscale decomposition each image. Secondly, it calculated the local energy and the local energy entropy. Finally, it chose the fusion pixel based on the weighting coefficients, which is calculated by local energy entropy. The result image is generated by reverse wavelet transform. The experiment result appears the proposed method makes obviously effects.

关 键 词：图像融合 小波变换 局部能量 局部能量熵 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]