电光与控制, 2019, 26 (1): 77, 网络出版: 2021-01-13
用于HVS的拉普拉斯金字塔变换图像融合研究
Laplacian Pyramid Based Image Fusion for Use in HVS
摘要
平视视景系统(HVS)融合了增强视景系统(EVS)和合成视景系统(SVS), 在飞机近陆运行阶段, 为飞行员提供实时外景信息, 提高飞行安全。提出了一种用于HVS的图像融合方法: 首先将源图像进行拉普拉斯金字塔变换, 然后对高频层采用绝对值取大的方法进行融合, 低频层采用区域能量与改进的区域平均梯度相结合的方法进行融合, 最后进行拉普拉斯反变换得到最终融合图像。实验表明该方法用于EVS与SVS图像的融合时具有良好的融合效果。
Abstract
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.
王佳慧, 武静, 张川, 曹行健. 用于HVS的拉普拉斯金字塔变换图像融合研究[J]. 电光与控制, 2019, 26(1): 77. WANG Jiahui, WU Jing, ZAHNG Chuan, CHAO Xingjian. Laplacian Pyramid Based Image Fusion for Use in HVS[J]. Electronics Optics & Control, 2019, 26(1): 77.