An image fusion method which is based on local energy and PCNN

An image fusion method which is based on local energy and PCNN is proposed in order to fill the demand of accuracy and integrality.Firstly,the source images are decomposed through nonsubsampled contourlet transform,and then fusions in according of their respective features of low and high frequency.The low frequency exprises smooth regions and uses local energy weighted sums.At the same time,the high frequency includes edges and features information of image that is used as the simplified pulse coupled neural network input links,and then uses PCNN to select high-frequency by the times of fires.The experimental results show that the algorithm is achieving better fusion quality than previous fusion methods.