ABSTRACT
In the wintry weather period, haze is the prime confront during driving. It eliminates the visibility of an image. Fog removal techniques are required to improve the visibility level of the image. In this chapter, a hybrid approach is implemented for fog removal. The expected approach utilizes the basic concepts of Dark Channel Prior and Bright Channel Prior. Apart from this, order statistic filter would use to refine the transmission map. The bright channel prior to boundary constraints would use to restore the edges. The proposed technique has been compared with existing techniques over a set of well-known foggy images. The proposed approach outperforms the predefined techniques in terms of average gradient and percentage of saturated pixels.
