DocumentCode :
3011755
Title :
Contrast Restoration for Fog-Degraded Images
Author :
Zhai, Yishu ; Zhang, Yong
Author_Institution :
Coll. of Sci., Tianjin Univ. of Technol. & Educ., Tianjin, China
Volume :
1
fYear :
2009
fDate :
11-14 Dec. 2009
Firstpage :
619
Lastpage :
623
Abstract :
Under foggy weather conditions, the contrast of outdoor scene images is often drastically degraded. In this paper, we address the question of restoring the contrast of outdoor scene images from just one degraded image. A simple modified model was derived firstly based on atmospheric scattering models, which describes the mechanism that the apparent contrast of scenes degrades under foggy conditions, and then we estimated the optimal weight parameter vector in modified model by using genetic algorithm. Finally, we described the contrast restoration method for fog-degraded image without using any weather or exact depth information, and the experiment results illustrate its effectiveness.
Keywords :
fog; genetic algorithms; image restoration; atmospheric scattering; fog-degraded image; foggy weather condition; genetic algorithm; image contrast restoration; optimal weight parameter vector; outdoor scene image; Atmospheric modeling; Degradation; Educational institutions; Genetic algorithms; Image restoration; Layout; Light scattering; Particle scattering; Pixel; Scattering parameters; atmospherical scattering model; contrast restoration; fog-degraded images; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
Type :
conf
DOI :
10.1109/CIS.2009.243
Filename :
5375861
Link To Document :
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