Nowadays modern vehicles are geared up with a digital camera to capture the scene in front of them. If these cameras are equipped with realization of different weather conditions this digital camera can support many applications as well as establish new ones. Huge parts of road accidents are occur during night time due to visibility alterations in night time. Hence adjusting of these lights of vehicles during night time is very necessary. So an efficient complete night fog detection system is proposed in this work. The proposed methodology used both backscattered veil and holo detection algorithms to characterize the density of the fog and estimate the visibility. In view that the halos round light sources depend on the gap from the camera and on the density and type of fog, combing this with Gabor filter makes it more robust.
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