Improving visibility of a fast dehazing method
Zhi Wang, Daishi Watabe, Jianting Cao · 2016
In this paper, we propose a fast dehazing method that is based on a dark channel prior and can automatically be adjusted to the level of haze that needs to be removed. Our method improves the visibility and effectively preserves the colors of the original image. Based on the visibility results we can conclude that our method does not introduce noise. Furthermore, our method maintains the speed of the median dark channel prior method introduced in [9]. We also solved the problem of image darkening caused by dehazing. Most importantly, our method shows that processing by the Y channel can improve the structural similarity index measure of restored images. Our method is simple, effective, and fast. We compare our dehazing method with other methods and report on the very successful results.