基于拉普拉斯金字塔变换的电力图像融合

Image Fusion in Power System Based on Laplacian Pyramid Transform

提出了一种改进的拉普拉斯金字塔算法.为了防止目标信息丢失,该算法对顶层采用经过遗传算法优化的加权融合方法,对其它层采用加入相位信息的区域能量融合方法.实验结果表明该算法能保留较多的图像细节信息,增强图像清晰度,方便目标检测.

In this paper, an improved Laplacian pyramid algorithm is proposed. To prevent the loss of target information, the algorithm uses a weighted fusion method optimized by genetic algorithm on the top-level, and uses a local energy fusion method by adding the phase information on the other levels. The experimental results show that the algorithm can retain more image details in the information, enhance the definition of images significantly, and detect the target in the fused image more conveniently.