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.
