COLOR-PRESERVING DEFOG METHOD FOR FOGGY OR HAZY SCENES

Dongbin Xu, Chuangbai Xiao, Jing Yu

Abstract

Bad weather, such as fog and haze, can significantly degrade the imaging quality, which becomes a major problem for many applications of computer vision. In this paper, we propose a novel color-preserving defog method based on the Retinex theory, using a single image as an input without user interactions. In the proposed method, we apply the Retinex theory to fog/haze removal form foggy/hazy images, and conceive a new strategy of fog/haze estimation. Experiment results demonstrate that the proposed method can not only remove fog or haze present in foggy or hazy images, but also restore real color of clear-day counterparts, without color distortion. Besides, the proposed method has very fast implementation.

References

  1. Kim J. Y., Kim L. S. and Hwang S. H. (2002). An advanced contrast enhancement using partially overlapped sub-block histogram equalization. IEEE Trans. on Circuits and Systems for Video Technology, 11(4): 475-484.
  2. Land E. (1998). An alternative technique for the computation of the designator in the retinex theory of color vision. In: Proceedings of National Academy of Sciences, 83: 3078-3080.
  3. Narasimhan S. and Nayar S. K. (2003a). Contrast restoration of weather degraded images. IEEE Trans. on PAMI, 25(6): 713-724.
  4. Narasimhan S. and Nayar S. K. (2003b). Interactive (De) weathering of an image using physical models. In: Proceedings of ICCV Workshop on Color and Photometric Method in Computer Vision, 25(6): 713- 723.
  5. Narasimhan S. and Nayar S. K. (2003c). Shedding light on the weather. In: Proceedings of IEEE CVPR, 1: 665- 672.
  6. Schechenr Y. Y., Narasimhan S. G. and Nayar S. K. (2001). Instant dehazing of images using polarization. In: Proceedings of IEEE CVPR, 1: 325-332.
  7. Shwartz S., Namer E. and Schechner Y. (2006). Blind haze separation. In: Proceedings of IEEE CVPR, 2: 1984-1991.
  8. Stark J. A. (2001). Adaptive image contrast enhancement using generalizations ofhistogram equalization. IEEE Trans. on Image processing, 9(5): 889-896.
  9. Tan R.T. (2007). Visibility enhancement for roads with foggy or hazy scenes. In: Proceedings of the IEEE Intelligent Vehicles Symposium, 19-24.
  10. Tan R.T. (2008). Visibility in bad weather from a single image. In: Proceedings of IEEE CVPR, 1-8.
Download


Paper Citation


in Harvard Style

Xu D., Xiao C. and Yu J. (2009). COLOR-PRESERVING DEFOG METHOD FOR FOGGY OR HAZY SCENES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 69-73. DOI: 10.5220/0001776200690073


in Bibtex Style

@conference{visapp09,
author={Dongbin Xu and Chuangbai Xiao and Jing Yu},
title={COLOR-PRESERVING DEFOG METHOD FOR FOGGY OR HAZY SCENES },
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={69-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001776200690073},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - COLOR-PRESERVING DEFOG METHOD FOR FOGGY OR HAZY SCENES
SN - 978-989-8111-69-2
AU - Xu D.
AU - Xiao C.
AU - Yu J.
PY - 2009
SP - 69
EP - 73
DO - 10.5220/0001776200690073