基于自适应配准参数更新的实时彩色视频图像融合方法

提出一种基于自适应配准参数更新并适用于待配准可见光与红外视频图像的实时彩色融合算法. 首先，自适应地更新每帧图像的配准参数，完成对每帧可见光图像和红外图像的配准；其次，对配准的图像进行线性灰度融合，选取合适的彩色目标图像，在YUV空间完成目标图像颜色信息向融合图像的快速颜色传递，得到彩色融合图像. 实验结果表明，算法效果明显优于伪彩色融合方法，且运算速度完全能够满足对视频进行实时处理的要求. 

Real-Time Color Video Fusion Method Based on Adaptive Registration Parameter Update

A new method for real-time color video fusion based on adaptive registration parameter update was proposed. First, the registration parameters of each frame image were updated adaptively and each visible image and infrared image was registered. Secondly, linear gray level fusion method was used for the registration image, and the appropriate color target image was selected and the color transfer of color target image to initial gray fusion image in YUV color space was completed. Finally, the color fusion image was gotten. Experimental result shows that the color-transferred image has better natural color perception than the conventional false color image. Moreover, the algorithm is fast and convenient for real-time digital video processing.