海上监控视频实时去雾算法研究

Research on Real-Time Haze Removal Algorithm for Marine Video

为提高船舶在雾天航行的安全性,对船舶监控视频流进行实时去雾.建立雾天退化物理模型,采用数学中不等式缩放理论估计出每帧有雾图像的透射率和全局大气光,然后根据雾天成像的物理模型恢复出每帧去雾图像.根据海上监控视频图像具有大面积天空和海水,对该算法中的参数依据航海目标细节恢复程度和图像对比度等因素进行估计.实验结果表明,该算法能够有效恢复海上目标的细节清晰度和提高图像的对比度,又能满足视频流实时去雾的要求,说明算法能够较好地解决海上监控视频实时去雾问题.

In order to improve ship navigation safety in fog,a real-time haze removal algorithm was proposed for marine surveillance video.For establishing fog degraded physical model,an inequality scaling theory was preliminarily used to estimate transmission and the global atmosphere for every frame of marine surveillance video.Then the haze-removal surveillance video was recovered based on the physical model.Finally,according to the marine surveillance video with large sky and sea areas,the parameters of the algorithm were estimated based on the factors of navigation target details and image contrast.The experiment results show that the algorithm can remove the haze in real-time speed,recover the marine targets＇ details and improve the image contrast.So,it proves that this algorithm can well solve the problem of real-time haze removal for marine surveillance video.