Vision Enhancement in Homogeneous and Heterogeneous Fog

Abstract : One source of accidents when driving a vehicle is the presence of fog. Fog fades the colors and reduces the contrasts in the scene with respect to their distances from the driver. Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement in road images. The visibility enhancement algorithm proposed in [1] is not optimized for road images. In this paper, we reformulate the problem as the inference of the local atmospheric veil from constraints. The algorithm in [1] thus becomes a particular case. From this new derivation, we propose to better handle road images by introducing an extra constraint 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 the speed, the possibility to handle both color and gray-level images, and the small number of parameters. A new scheme is proposed for rating visibility enhancement algorithms based on the addition of several types of generated fog on synthetic and camera images. A comparative study and quantitative evaluation with other state-of-the-art algorithms is thus proposed. This evaluation demonstrates that the new algorithm produces better results with homogeneous fog and that it is able to deal better with the presence of heterogeneous fog. Finally, we also propose a model allowing to evaluate the potential safety benefit of an ADAS based on the display of defogged images.
Type de document :
Article dans une revue
IEEE Intelligent Transportation Systems Magazine, IEEE, 2012, Vision in inclement weather, 4 (2), pp.6-20. 〈10.1109/MITS.2012.2189969〉
Liste complète des métadonnées

Littérature citée [28 références]  Voir  Masquer  Télécharger


https://hal.inria.fr/hal-00707039
Contributeur : Jean-Philippe Tarel <>
Soumis le : mardi 12 juin 2012 - 09:16:46
Dernière modification le : mercredi 11 avril 2018 - 12:10:02
Document(s) archivé(s) le : jeudi 13 septembre 2012 - 02:21:36

Fichiers

jpt-itsm12.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Jean-Philippe Tarel, Nicolas Hautière, Laurent Caraffa, Aurélien Cord, Houssam Halmaoui, et al.. Vision Enhancement in Homogeneous and Heterogeneous Fog. IEEE Intelligent Transportation Systems Magazine, IEEE, 2012, Vision in inclement weather, 4 (2), pp.6-20. 〈10.1109/MITS.2012.2189969〉. 〈hal-00707039〉

Partager

Métriques

Consultations de la notice

536

Téléchargements de fichiers

2220