An adaptive fusion method of infrared and visible images based on shearlet transform is presented.Firstly,the source images are transformed by shearlet transform.And then,the low-frequency coefficients are adaptively fused by the optimal fusion weights,which are selected by particle swarm optimization.With the better representation of Shearlet for edge and contour,the weighted local energy rule is employed to select the better high-frequency coefficients to fusion.Finally,the fused coefficient is transform by inverse Shearlet transform to obtain fused image.Compared to the other existing methods,the experimental results show the performance of the proposed method is much better.