DocumentCode :
2156017
Title :
Fast single image fog removal using edge-preserving smoothing
Author :
Yu, Jing ; Liao, Qingmin
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
1245
Lastpage :
1248
Abstract :
Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defogging method from a single image of a scene based on the atmospheric scattering model. In the inference process of the atmospheric veil, the coarser estimate is refined using a fast edge-preserving smoothing approach. The complexity of the proposed method is only a linear function of the number of image pixels and this thus allows a very fast implementation. Results on a variety of outdoor foggy images demonstrate that the proposed method achieves good restoration for contrast and color fidelity resulting in a great improvement in image visibility.
Keywords :
atmospheric techniques; fog; geophysical image processing; image colour analysis; smoothing methods; atmospheric scattering model; color fidelity; fast defogging method; fast edge-preserving smoothing approach; fast single image fog removal; image pixels; image visibility; inference process; linear function; scene based method; Atmospheric modeling; Image color analysis; Image edge detection; Image restoration; Pixel; Scattering; Smoothing methods; atmospheric scattering model; atmospheric veil; defog; edge-preserving smoothing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946636
Filename :
5946636
Link To Document :
بازگشت