Traffic Image Dehazing Based on HSV Color Space
Can Ding, Zhe Zhang, Fan Li, Jing Zhang · 2021
Aiming at the problems of severe degradation, blurredness and low contrast in traffic images in severe weather scenes, this paper proposes a traffic image enhancement algorithm in color space, which converts images into HSV space and then performs S and V components. Constrained adaptive histogram operations and then convert the image to RGB space. Our experiments show that the proposed algorithm can better restore the fogging effect.