Most traditional infrared and visible image fusion methods often ignore weak texture details, especially for the low-light visible images in which the weak details are easily drowned due to noise or ill-illumination. To ad -dress this problem, we propose a novel infrared and low-light visible image fusion method from the perspective of low-light visible image enhancement, weak feature extraction strategy and detail preserved fusion rules. By combining both local and global contrast enhancements, an adaptive light adjustment algorithm is proposed to improve the brightness and texture details of...
