Contrast restoration of road images taken in foggy weather
Résumé
Driver assistance systems based on camera are strongly disturbed by the presence of foggy weather. The restoration of images, as pre-processing, would improve the performances of such systems. In this paper, we propose a method to restore the image contrast of foggyroad scenes combining a physical approach, based onKoschmieders model and a signals approach, based onlocal histogram equalization. Then we optimize theparameters of our method using a simulated annealing.This method, evaluated on a reference image database,presents a significant improvement compared to othermethods and gives consistent results for bothhomogeneous and inhomogeneous fog.