一种基于局部能量的自适应图像融合方法  

An Adaptive Image Fusion Algorithm Based on Local Energy

作　　者：周锐锐[1] 毕笃彦[1] 陈振华[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《弹箭与制导学报》2005年第SA期419-421,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：文中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,根据值局部能量熵赋予其不同的加权系数,从而实现自适应的信息融合。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 lo- cal energy entropy.Finally.it chose the fusion pixei based on the weighting coefficients,which is calculated by local en- ergy 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：TN911.73[电子电信—通信与信息系统]