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

Abstract

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.