A hybrid approach for visibility enhancement in foggy image

Fog is one of the major sources of accident. It is the natural phenomenon which reduces the contrast and fades the colors of objects in the scene with respect to their distance from the driver. It results in poor visibility and thus brings great difficulty in driving, object identification, object tracking and monitoring in outdoor images. As a remedy to these problems we have proposed an algorithm which uses an integrated approach and works in two phases. In the first phase it enhances the contrast of the image with Contrast-Limited Adaptive Histogram Equalization (CLAHE) and in the second phase it upgrades the visibility of the scene through No-Black-Pixel Constraint (NBPC). The result of this proposed approach are appreciable and opens the scope for use in advanced driver assistance system (ADAS), Vehicle navigation and traffic monitoring in bad weather condition arises due to fog.