The Head-up Vision System (HVS) integrates the Enhanced Vision System (EVS) with the Synthetic Vision System (SVS), and provides real-time location information for the pilot to improve flight safety during the aircraft's near-land operation. A new image fusion algorithm used in HVS is proposed in this paper. First, Laplacian pyramid transform is carried out for each source image.Then, the method of selecting the larger absolute value is used on the high-frequency part, and the method of local energy combined with local average gradient is used for the fusion of the low-frequency part. Finally, the fused image is obtained by inverse Laplacian pyramid transform.The experimental results show that this algorithm has good fusion effect in the fusion of EVS image with SVS image.