An adaptive real-time video defogging method based on context-sensitiveness
Wei Song, Bangfei Deng, Haibing Zhang, Qianbo Xiao, Shudi Peng · 2016
The area around plants often encounters with fog weather because of its mountainous location, that results in unclear video surveillance and incorrect observation. While, it is of great significance for power lines to filter the fog and get clear surveillance videos. This paper presents an adaptive real-time video defogging method based on context-sensitiveness by using improved guide filtering algorithm and improving the single-frame image defogging effect within a limited computation time. In order to take full advantage of contextual information, we propose multi-strategy integration video defogging method, experimental results show that the algorithm is able to defog in real time under moving camera videos in premise of ensuring defogging performance.