DocumentCode :
3405535
Title :
Physics-based fast single image fog removal
Author :
Yu, Jing ; Xiao, Chuangbai ; Li, Dapeng
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
1048
Lastpage :
1052
Abstract :
Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze, fog and mist. Poor visibility becomes a major problem for most outdoor vision applications. In this paper, we propose a novel fast defogging method from a single image of a scene based on a fast bilateral filtering approach. The complexity of our method is only a linear function of the number of input image pixels and this thus allows a very fast implementation. Results on a variety of outdoor foggy images demonstrate that our method achieves good restoration for contrast and color fidelity, resulting in a large improvement in image visibility.
Keywords :
computer vision; filtering theory; fog; image colour analysis; image enhancement; color fidelity; contrast fidelity; fast bilateral filtering; fast defogging method; haze; image pixel; mist; outdoor vision application; physics-based fast single image fog removal; poor image visibility; poor weather; suspended particles; Atmospheric modeling; Estimation; Image color analysis; Image edge detection; Image restoration; Pixel; Scattering; atmospheric veil; bilateral filter; defog; visibility restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5655901
Filename :
5655901
Link To Document :
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