Enhancement in Foggy Road Scene Videos Using RSWHE and Gamma Correction

Abstract

Video enhancement is important for video security surveillance system because the videos and images of outdoor street scenes when captured in severe climatic conditions such as fog, dust storms, mist gets degraded. Drivers much of the time turn on the headlights of their vehicles and streetlights are frequently lit which decrease the visibility and leads to colour shift problems. Due to improper visibility it is difficult for drivers to identity the targets. The aim is to achieve haze free images/videos in order to detect the road conditions properly and increase visibility to reduce the road accidents. Various techniques are used for enhancement of videos/images such as Dark channel prior, Histogram equalization, Brightness preserving Bi histogram equalization, Recursively Separated and Weighted Histogram Equalization with Gamma Correction. In the proposed work, RSWHE is combined with gamma correction to improve the visibility of road scene foggy videos and images. Better results are obtained with the proposed method.