A novel background suppression-based image fusion algorithm

In this study, a novel image fusion algorithm is proposed to detect and track targets. The method is based on background suppression on both infrared and visible image. The algorithm performance is calculated by using the defined datasets. The detection performance is calculated by using SCR (Signal to Clutter Ratio). Instead of using single band images, the proposed fusion algorithm that uses both infrared and visible images obtained the highest SCR value. To calculate the tracking performance of the proposed fusion algorithm, feature based tracking algorithms is used. In conclusion, the proposed image fusion algorithm has better tracking and detection performance of the target instead of using single band image.