FRIDA and FRIDA2 are databases of numerical images easily usable to evaluate in a systematic way the performance of visibility and contrast restoration algorithms. FRIDA comprises 90 synthetic images of 18 urban road scenes. FRIDA2 comprises 330 synthetic images of 66 diverse road scenes. The view point is closed to the one of the vehicle's driver. To each image without fog is associated 4 foggy images and a depthmap. Different kind of fog are added on each of the 4 associated images: uniform fog, heterogeneous fog, cloudy fog, and cloudy heterogeneous fog. These scenes can be used to test visibility and contrast restoration algorithms intensively and in an objective way, as well as "shape from fog" algorithms. The calibration parameters of the camera are given. The image database FRIDA or FRIDA2 can be downloaded as a unique archive file and used for research purpose:
In any publication related to the use of FRIDA image database, your are kindly requested to cite the following reference:
J.-P. Tarel, N. Hautière, A. Cord, D. Gruyer and H. Halmaoui, "Improved Visibility of Road Scene Images under Heterogeneous Fog", in Proceedings of IEEE Intelligent Vehicles Symposium (IV'10), San Diego, CA, USA, June 21-24, 2010.
In any publication related to the use of FRIDA2 image database, your are kindly requested to cite the following reference:
J.-P. Tarel, N. Hautière, L. Caraffa, A. Cord, H. Halmaoui and D. Gruyer, "Vision Enhancement in Homogeneous and Heterogeneous Fog", in IEEE Intelligent Transportation Systems Magazine, 4:(2), p. 6-20, summer 2012.
The images without fog are generated using Sivic Software.
The authors of this database are:
Any question and in particular any query about the ownership of the FRIDA and FRIDA2 databases should be addressed to Jean-Philippe.Tarel@ifsttar.fr.