The Contrast Enhancement for Foggy Image Based on Atmospheric Degraded Model and Sky Separating
Xianqiao Chen, Xinping Yan, Xiumin Chu · 2010
Foggy images in traffic is a special class of degraded images, and the enhancement or restoration of these image is very important for traffic safe. The histogram equalization or local histogram equalization is applied to these images directly will lead some distortion. The degraded model based on scene depth estimated is a effective algorithm for this situation, but it depends on the scene depth estimation, which is a difficult task. In this paper we present a new algorithm for foggy image restoration in traffic,which is improved based on histogram equalization, atmospheric degraded model, sky area separating. Experiments show that the sky area separating is effective, enhancement is smoothing, and distortion is avoided with the new algorithm.