说明：  提出了一种新的基于非下采样轮廓波ＮＳＣＴ和脉冲耦合神经网络ＰＣＮＮ相结合的自适应图像融合方法．对已经配准的源图像进行ＮＳＣＴ分解得到低频子带系数和不同方向的高频子带系数．对ＮＳＣＴ分解的低频部分采用简单的加权平均融合规则
(Proposed a new profile based on non-downsampling wave NSCT and PCNN PCNN combining adaptive image fusion method. Which has been the source image registration NSCT decomposition subband coefficients and the high frequency sub-band in different directions coefficient. NSCT decomposition for the low frequency part using a simple weighted average fusion rules)