针对单一红外或可见光波段成像技术无法满足夜雾天况彩色成像要求的问题,结合红外和可见光成像各自的特点,提出一种固定区域下针对夜雾天况的彩色视频构建方法。该方法在能见度高的白天利用可见光传感器进行可见光背景图像的构建,在能见度低的夜雾天气利用红外传感器提取出红外运动目标,依据可见光背景图像与原始红外图像的配准参数进行2幅图像的同比例融合,完成彩色视频的重构。实验结果表明,该方法能够准确完成包含红外目标的彩色视频构建,充分体现出夜雾天况下运动目标及其所在场景的彩色特征信息,提升人眼对目标与场景的识别和感知。对于图像大小为720 pixel×576 pixel的视频序列,该算法的运行速度能够达到40 frame/s,可满足彩色视频实时构建的需要。

Single infrared or visible light band imaging technology is insufficient to meet the requirements of color imaging in night and foggy days. To overcome this problem, a color video construction method for fixed area in night and foggy days is proposed, which combines the characteristics of infrared imaging and visible light imaging. The proposed method constructs the visible background image by using visible light sensor during daytime with high visibility, and extracts the infrared moving target by using infrared sensor in night and foggy days with low visibility. Then, according to the registration parameters of the visible background image and the original infrared image, the two images fuse in the same proportion, and the construction of color video is thus completed. The experimental results show that the proposed algorithm can accurately complete the construction of color video with infrared target. It fully reflects the color feature information of the moving target and its scene in night and foggy days, and enhances the recognition and perception of target and scene information by the human eye. For a video sequence with an image size of 720 pixel×576 pixel, the running speed of the algorithm can reach 40 frame/s and meet the the need for real-time construction of color video.