Vision enhancement in homogeneous and heterogeneous fog

IEEE Intelligent Transportation Systems Magazine

Volumn 4, Issue 2, 2012, Pages 6-20

  Tarel, Jean Philippe ^a   Hautière, Nicholas ^a   Caraffa, Laurent ^a   Cord, Aurélien ^b   Halmaoui, Houssam ^b   Gruyer, Dominique ^b  

^a INRETS   (France)

^b UNIVERSITÉ GUSTAVE EIFFEL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA IMAGES; COMPARATIVE STUDIES; ENHANCEMENT ALGORITHMS; GRAY LEVEL IMAGE; LARGE PARTS; LOCAL ALGORITHM; QUANTITATIVE EVALUATION; ROAD IMAGES; SAFETY BENEFITS; STATE-OF-THE-ART ALGORITHMS; VISION ENHANCEMENT;

ACCIDENTS; ALGORITHMS; CAMERAS; ROADS AND STREETS; VISIBILITY;

FOG;

EID: 84860796098     PISSN: None     EISSN: None     Source Type: Journal    
DOI: 10.1109/MITS.2012.2189969     Document Type: Article

References (29)

1. J.-P. Tarel and N. Hautière. (2009). Fast visibility restoration from a single color or gray level image. Proc. IEEE Int. Conf. Computer Vision (ICCV'09), Kyoto, Japan, pp. 2201-2208. [Online]. Available: http://perso.lcpc.fr/tarel.jean-philippe/publis/iccv09.html
2. N. Hautière, J.-P. Tarel, and D. Aubert. (2010, June). Mitigation of visibility loss for advanced camera based driver assistances. IEEE Trans. Intell. Transport. Syst. [Online]. 11(2), pp. 474-484. Available: http://perso.lcpc.fr/tarel.jean-philippe/publis/its10.html
3. S. G. Narashiman and S. K. Nayar, "Interactive de weathering of an image using physical model," in Proc. IEEE Workshop Color and Photometric Methods in Computer Vision, Nice, France, 2003.
4. N. Hautière, J.-P. Tarel, and D. Aubert. (2007). Towards fog-free invehicle vision systems through contrast restoration. Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, pp. 1-8. [Online]. Available: http://perso.lcpc.fr/tarel.jeanphilippe/publis/cvpr07.html
5. R. Tan, N. Pettersson, and L. Petersson, "Visibility enhancement for roads with foggy or hazy scenes," in Proc. IEEE Intelligent Vehicles Symp. (IV'07), Istanbul, Turkey, 2007, pp. 19-24.
6. R. Tan, "Visibility in bad weather from a single image," in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, AK, 2008, pp. 1-8.
7. K. He, J. Sun, and X. Tang, "Single image haze removal using dark channel prior," IEEE Trans. Pattern Anal. Machine Intell., vol. 33, no. 12, pp. 2341-2353, Dec. 2010.
8. K. He, J. Sun, and X. Tang, "Guided image filtering," in Proc. European Conf. Computer Vision (ECCV'10), Hersonissos, Crete, Greece, 2010, pp. 1-14.
9. N. Hautière and D. Aubert, "Contrast restoration of foggy images through use of an onboard camera," in Proc. IEEE Conf. Intelligent Transportation Systems (ITSC'05), Vienna, Austria, 2005, pp. 1090-1095. (Pubitemid 44250353)
10. D. Jobson, Z. Rahman, and G. Woodell, "A multiscale retinex for bridging the gap between color images and the human observation of scenes," IEEE Trans. Image Processing, vol. 6, no. 7, pp. 965-976, 1997. (Pubitemid 127772284)
11. N. Hautière, J.-P. Tarel, J. Lavenant, and D. Aubert. (2006). Automatic fog detection and estimation of visibility distance through use of an onboard camera. Mach. Vis. Applicat. [Online]. 17(1), pp. 8-20. Available: http://perso.lcpc.fr/tarel.jean-philippe/publis/mva06.html
12. K. Zuiderveld, "Contrast limited adaptive histogram equalization," in Graphics gems IV. San Diego, CA: Academic Press, 1994, pp. 474-485.
13. J. Lavenant, J.-P. Tarel, and D. Aubert, "Procédé de détermination de la distance de visibilité et procé dé de détermination de la présence d'unbrouillard," French Patent Number 0201822, INRETS/LCPC, Feb. 2002.
14. N. Hautière, J.-P. Tarel, and D. Aubert. (2009). Free space detection for autonomous navigation in daytime foggy weather. Proc. IAPR Conf. Machine Vision Applications (MVA'09), Yokohama, Japan, 2009, pp. 501-504. [Online]. Available: http://perso.lcpc.fr/tarel.jeanphilippe/publis/mva09.html
15. J. Yu, C. Xiao, and D. Li, "Physics-based fast single image fog removal," in Proc. IEEE Int. Conf. Signal Processing (ICSP'10). Amsterdam, The Netherlands: IEEE, 2010, pp. 1048-1052.
16. J.-P. Tarel, N. Hautière, A. Cord, D. Gruyer, and H. Halmaoui. (2010). Improved visibility of road scene images under heterogeneous fog. Proc. IEEE Intelligent Vehicle Symp. (IV'2010), San Diego, CA, pp. 478-485. [Online]. Available: http://perso.lcpc.fr/tarel.jeanphilippe/publis/iv10.html
17. D. Gruyer, C. Royere, N. du Lac, G. Michel, and J.-M. Blosseville, "SiVIC and RTMaps, interconnected platforms for the conception and the evaluation of driving assistance systems," in Proc. Intelligent Transport Systems World Congr., London, England, 2006, pp. 1-8.
18. K. Perlin, "An image synthesizer," SIGGRAPH Comput. Graph., vol. 19, no. 3, pp. 287-296, 1985.
19. A. Geiger, M. Roser, and R. Urtasun, "Efficient large-scale stereo matching," in Proc. Asian Conf. Computer Vision, Queenstown, New Zealand, Nov. 2010.
20. Q. Yang, R. Yang, J. Davis, and D. Nister, "Spatial-depth super resolution for range images," in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07). Minneapolis, MN: IEEE, 2007, pp. 1-8.
21. Z. Bian, R. Ni, A. Guindon, and G. Andersen, "Aging and the detection of collision events in fog," in Proc. Int. Driving Symp. Human Factors in Driver Assessment, Training and Vehicle Design, 2008, pp. 69-75.
22. R. Gallen, N. Hautière, and S. Glaser, "Advisory speed for intelligent speed adaptation in adverse conditions," in Proc. IEEE Intelligent Vehicles Symp., 2010, pp. 107-114.
23. L. Bi, O. Tsimhoni, and Y. Liu, "Using image-based metrics to model pedestrian detection performance with night-vision systems," IEEE Trans. Intell. Transport. Syst., vol. 10, no. 1, pp. 155-164, Mar. 2009.
24. S. Mahlke and D. Rösler, "Evaluation of six night vision enhancement systems: Qualitative and quantitative support for intelligent image processing," Hum. Factors, vol. 49, no. 3, pp. 518-531, 2007. (Pubitemid 46801617)
25. A. Livingston and V. Asari, "A visibility improvement system for low vision drivers by nonlinear enhancement of fused visible and infrared video," in Proc. 2005 IEEE Computer Society Conf. Computer Vision and Pattern Recognition (CVPR'05)-Workshops, p. 25.
26. Y. Hsu, "A generalization of Piéron's law to include background intensity and latency distribution," J. Math. Psychol., vol. 49, no. 6, pp. 450-463, Dec. 2005. (Pubitemid 43046069)
27. J. Bossu, D. Gruyer, J.-C. Smal, and J.-M. Blosseville, "Validation and benchmarking for pedestrian video detection based on a sensors simulation platform," in Proc. IEEE Intelligent Vehicles Symp. (IV'2010), San Diego, CA, 2010.
28. R. Brémond, J.-P. Tarel, E. Dumont, and N. Hautiére. (2010, Oct.-Dec.). Vision models for image quality assessment: One is not enough. J. Electron. Imag. [Online]. 19(4). Available: http://perso.lcpc.fr/tarel. jeanphilippe/publis/jei10.html
29. M. Gazzi, T. Georgiadis, and V. Vicentini, "Distant contrast measurements through fog and thick haze," Atmospher. Environ., vol. 35, pp. 5143-5149, 2001. (Pubitemid 32846577)