MAF: An algorithm based on multi-agent characteristics for infrared and visible video fusion.

ABSTRACT: Addressing the limitation of existing infrared and visible video fusion models, which fail to dynamically adjust fusion strategies based on video differences, often resulting in suboptimal or failed outcomes, we propose an infrared and visible video fusion algorithm that leverages the autonomous and flexible characteristics of multi-agent systems. First, we analyze the functional architecture of agents and the inherent properties of multi-agent systems to construct a multi-agent fusion model and corresponding fusion agents. Next, we identify regions of interest in each frame of the video sequence, focusing on frames that exhibit significant changes. The multi-agent fusion model then perceives the key distinguishing features between the images to be fused, deploys the appropriate fusion age

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11878920 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature