  Infrared and visible image fusion is an important problem in the field of
image fusion which has been applied widely in many fields. To better preserve
the useful information from source images, in this paper, we propose a novel
image fusion method based on latent low-rank representation(LatLRR) which is
simple and effective. Firstly, the source images are decomposed into low-rank
parts(global structure) and salient parts(local structure) by LatLRR. Then, the
low-rank parts are fused by weighted-average strategy to preserve more contour
information. Then, the salient parts are simply fused by sum strategy which is
a efficient operation in this fusion framework. Finally, the fused image is
obtained by combining the fused low-rank part and the fused salient part.
Compared with other fusion methods experimentally, the proposed method has
better fusion performance than state-of-the-art fusion methods in both
subjective and objective evaluation. The Code of our fusion method is available
at https://github.com/hli1221/imagefusion\_Infrared\_visible\_latlrr
