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