摘要
无人机的发展使校园航拍风靡全国各大高校。然而受雾霾天气的影响,户外高空采集的图像往往严重降质。为解决这一问题,文章对图像去雾霾技术及各类方法进行了研究。先后实现了基于单尺度Retinex及暗通道先验的图像去雾霾算法,并将其应用到校园航拍采集到的因雾霾天气导致降质严重的图像中。根据对处理结果的比较分析总结了两种算法的适用范围和优缺点,同时对后续研究工作进行了探讨。
The development of unmanned aerial vehicles makes the campus aerial swept the major universities. However, by the impact of haze weather, outdoor high-altitude images are often seriously degraded. In order to solve this problem, this paper stu-dies the image haze technology and various methods. Has achieved a single-scale Retinex and dark channel prior to the image to the haze algorithm, and its application to the campus aerial photography collected due to haze weather caused by serious de-gradation of the image. According to the comparative analysis of the resxilts, the paper summarizes the application scope and ad-vantages and disadvantages of the two algorithms, and discusses the follow-up research work.
出处
《信息通信》
2017年第7期37-38,共2页
Information & Communications
