Fusion method of visible and infrared images based on calibration information and regional energy optimization

By fusing the visible and infrared images to improve the detection and recognition ability of equipments is a focus research. Aiming at the contradictory aspects of the current fusion algorithm for speed and accuracy, a fusion algorithm of visible and infrared images is proposed. Firstly, the visible and infrared imaging systems’ calibration information is obtained by calibrating the system. Secondly, the correspondence between visible image and infrared image pixel is established through constructing mathematical model. Finally, on the basis of Laplace decomposition, the visible and infrared images is fused with regional energy optimization principle. The experimental result shows that the proposed method increases the speed by 22.9%, improving the real-time performance of the fusion algorithms, while remains registration accuracy unchanged.