基于Reti nex原理消除交通视频图像中雾影响的方法雾天由于视野不清晰,驾驶人对路况掌握不清楚。交通事故的发生概率明显高于正常天气.给交通安全造成了巨大的隐患从近年来高速公路多车相撞的事故原因看,团雾是其中一个重要方面。为增强雾天交通视频的监控效果,进一步增强交通安全控制和交通信息研判效果,消除交通视频困像中的雾影响成为研究的热点。本文介绍基于Retinae方法消除交 Reti nex based on the principle of eliminating the impact of traffic video fog method Fog day because the field of vision is not clear, the driver’s grasp of the road is not clear. The probability of traffic accidents is obviously higher than that of normal weather, which has caused great hidden danger to traffic safety. From the reason of accident caused by multi-car collision in expressway in recent years, fog is one of the most important aspects. In order to enhance the monitoring effect of foggy traffic video and further enhance the traffic safety control and traffic information judgment effect and eliminate the fog influence in the traffic video sleepy image, it becomes a research hot spot. This article describes the elimination based on the Retinae method