Weight-Based Fusion Algorithm for Infrared and Visible Images and Its Performance Evaluation
In recent years,the fusion of infrared and visible images has found extensive applications in surveillance and target recognition.This study aims to propose a weighted-based algorithm for the fusion of infrared and visible images to enhance the quality and performance of the fused images.The initial preprocessing involves adjusting the infrared and visible images to the same dimensions for subsequent processing.Following this,gradient weights are computed for adaptive adjustments.Subsequently,a weighted average method is employed to fuse the infrared and visible images,and the algorithm's performance is evaluated through both visual and objective assessments.The experimental results demonstrate that our fusion algorithm outperforms others significantly,achieving higher clarity and contrast in the fused images.
万方数据
维普
