A Fuzzy Logic Based Approach to De-Weather Fog-Degraded Images

Poor visibility in foggy weather stems from the fact that particles in atmosphere scatter and absorb light from the environment and light reflected from the objects. Mathematically, de-weathering a fog degraded image is an ill posed problem and existing approaches are of high complexity and low versatility. In this paper, a novel fuzzy logic based algorithm, to de-weather fog-degraded images, is proposed. Specifically, air-light estimation is carried out using fuzzy logic followed by color correction for enhanced visibility. Experimental results show that the algorithm works effectively for images with a sky region. Due to its low complexity compared to conventional physics based solutions, the algorithm makes real-time implementation possible on a mobile platform which is crucial from a road safety viewpoint.