基于数字信号处理技术的红外夜视行车图像的处理

Processing of Infrared Night Vision Traveling Crane Image Based on Digital Signal Processing

主动式车载红外夜视系统通常可以用来解决夜间司机视距不足的问题,降低夜间行车的交通事故发生率。然而,该类通过捕捉物体反射的红外光形成的夜视图像在某些实际环境的影响下会变得质量很差,司机不仅无法从图像中获得更好的视距,还可能因为图像问题造成误判而发生交通事故。基于图像增强算法,针对数字信号处理技术(DSP)芯片采集的车载红外夜视数字图像的增强进行了研究并实现,所使用的方法可供相关人士参考。

The vehicle borne infrared night vision system can be used to solve the problem of night vision sight of the night driver and reduce the traffic accident rate at night. Night vision images formed by capturing infrared light reflected by objects can become very poor in the presence of environmental influences,drivers can not only get better sight distance from images,but also cause traffic accidents due to image errors. Based on the image enhancement algorithm,this paper researches and implements the enhancement of the vehicle borne infrared night vision digital image collected by Digital Signal Processing（ DSP）,and the method used for reference.