Fog Removal Techniques using Image Processing

Abstract: Fog is a big reason of road accidents, flight delays, late arrival of trains, etc. This project aims to resolve the sight problem faced by car/train/other automobile drivers when driving in cold weather condition/rain. Fog has affected many human activities, such as shipping, travel and warfare. Fog reduces contrast level of the image that affects the visual quality of image. Fog reduces visibility to less than 1 kilometer. For improving the visibility level of an image and reducing fog, various image enhancement methods are used. For improving the visibility level four major steps are used. First step is acquisition process of foggy images. Second is estimation process. Third is enhancement process (improve visibility level, reduce fog). Last process is restoration process (restore enhanced image). The main aim is to review image enhancement and restoration methods for improving the quality and visibility level of an image which provide clear image in bad weather condition.

Keywords: Image defogging, Computational photography, Image restoration, Image enhancement.