Fast single image and video deweathering using look-up-table approach

The bad weather conditions including fog, haze, rain and snow make the acquired image contrast lower. This makes computer vision application fail to detect or recognize objects. In this paper, a fast and better technique for deweathering the image and video is presented. Here, we proposed an approach of gamma correction using look-up-table methods to obtain higher contrast images. The experimental results demonstrated that this method could effectively remove the bad weather condition and enhance the contrast of the input images and videos. The use of look-up-table (LUT) in these images makes our approach appreciably faster in comparison to the recent reported approach of Tarel and Wang, respectively. Moreover, we extend the static image to real-time video deweathering. The main advantage of the proposed approach compared with others is its higher speed which allows the reliable real-time video processing.