关键词: 图像融合, 非下采样轮廓波变换, 脉冲耦合神经网络, 区域能量

Abstract:

An image fusion algorithm is proposed based on the shift-invariant,multi-scale and multi-directional NSCT and the pulse coupled neural network PCNN.First,a multiscale decomposition of the source image is performed with NSCT,and then with low coefficient using improved regional energy integration rules and the high frequency coefficients using PCNN fusion rule,the final fused image is obtained through NSCT inverse transform of the fused coefficients.Experimental results show that this method better retains useful information in the original image,and improves the quality of the fused image.

Key words: image fusion;nonsubsampled contourlet transform;pulse coupled neural networks;regional energy