关键词: 红外与可见光图像, 图像融合, 模态混叠, 二维集合经验模态分解（BEEMD）算法

Abstract:

Aiming at the mode mixing existing in the image decomposition process of the Bi-dimensional Empirical Mode Decomposition（BEMD） algorithm, an infrared and visible images fusion method based on Bi-dimensional Ensemble Empirical Mode Decomposition（BEEMD） algorithm is proposed. First, in order to suppress the mode mixing phenomenon in the decomposition process and obtain accurate feature components and residue components, the BEEMD algorithm is used to decompose the image. Second, the extracted feature components are fused using a local area energy selection and weighted fusion strategy, while the residue components are fused using fuzzy logic. Finally, the fused feature components and residue components are directly superimposed to obtain the final fused image. The experimental results show that the method can largely retain the background information of the visible light image while highlighting the target of the infrared image, with better visibility. In addition, it has obvious advantages in objective evaluation indicators such as Average Gradient（AG）, Standard Deviation（SD）, and Information Entropy（IE）.

Key words: infrared and visible light images, image fusion, mode mixing, Bi-dimensional Ensemble Empirical Mode Decomposition（BEEMD） algorithm