Infrared and Visible Image Fusion based on Log-domain Decomposition and Information Interaction

Abstract

In order to better preserve the salient targets and detail information of the infrared and visible images, a novel image fusion method based on log-domain decomposition and information interaction is proposed in this paper. Specifically, the infrared and visible images are first transformed into the logarithmic domain for a two-scale decomposition, which helps to extract more high-contrast information compared to decomposing them directly in image space. A visual saliency strategy is then used to fuse the base layer images. As to detail layers, a combined local visual saliency and detail preservation strategy is proposed to determine the final fusion weights. In addition, it is worth noting that the visible image information is introduced into the infrared detail layer before fusion, which achieves the information complementation and interaction of two source images. The experiment results demonstrate that the proposed method outperforms other fusion methods in both qualitative and quantitative assessments.