Infrared and Visible Image Fusion with Context Enhancement Based on Human Visual System

In this paper, we proposed a new infrared and visible image fusion method based on human visual system (HVS), which can enhance the context of images in poor light conditions in the process of fusion without image pre-processing. First, the original images are converted into adaptive contrast signals by the proposed multiscale model of adaptation and spatial vision. Second, these signals are combined together by our fusion rules. Finally, the fused image is obtained by converting the fused signals inversely. The experimental results show that the fused image is friendly to human vision.