Infrared and visible image fusion based on visual saliency map and weighted least square optimization
The goal of infrared (IR) and visible image fusion is to produce a more informative image for
human observation or some other computer vision tasks. In this paper, we propose a novel
multi-scale fusion method based on visual saliency map (VSM) and weighted least square
(WLS) optimization, aiming to overcome some common deficiencies of conventional
methods. Firstly, we introduce a multi-scale decomposition (MSD) using the rolling guidance
filter (RGF) and Gaussian filter to decompose input images into base and detail layers …
human observation or some other computer vision tasks. In this paper, we propose a novel
multi-scale fusion method based on visual saliency map (VSM) and weighted least square
(WLS) optimization, aiming to overcome some common deficiencies of conventional
methods. Firstly, we introduce a multi-scale decomposition (MSD) using the rolling guidance
filter (RGF) and Gaussian filter to decompose input images into base and detail layers …