|
|
Improved Visibility of Road Scenes in Heterogeneous Fog |
|
|
|
| One source of accidents when driving a vehicle is the presence of homogeneous and heterogeneous fog. Fog fades the colors and reduces the contrast of the observed objects with respect to their distances. Various camera-based Advanced
Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement of road images. A previously visibility enhancement algorithm is not dedicated to road images and thus it leads to limited quality results on images of this kind. In this paper, we interpret the previous algorithm as the inference of the local atmospheric veil subject to two constraints. From this interpretation, we propose an extended algorithm which better handles road images by taking into account that a large part of the image can be assumed to be a planar road. The advantages of the proposed local algorithm are its speed, the possibility to handle both
color images or gray-level images, and its small number of parameters. A comparative study and quantitative evaluation with other state-of-the-art algorithms is proposed on synthetic
images with several types of generated fog. This evaluation demonstrates that the new algorithm produces similar quality results with homogeneous fog and that it is able to better deal
with the presence of heterogeneous fog. |
|
Publications- Tarel, J.-P., Hautière, N., Cord, A. and Gruyer, D. a. H. Improved Visibility of Road Scene Images under Heterogeneous Fog. In IEEE Intelligent Vehicle Symposium (IV'10), San Diego, California,
USA, pages 478-485, 2010.
 
|
|
| Related topics
|
|