DocumentCode :
571250
Title :
A RETINEX based haze removal method
Author :
Parthasarathy, Sudharsan ; Sankaran, Praveen
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol. Calicut, Calicut, India
fYear :
2012
fDate :
6-9 Aug. 2012
Firstpage :
1
Lastpage :
6
Abstract :
One of the most interesting problems in recent times in image processing and computer vision is fog, haze and rain removal from images. In this paper we shall consider the problem of haze removal. One of the latest haze removal algorithms proposed by Kaiming et al. [1] uses a dark channel prior based approach for haze removal. Though this approach gives very good results, this method is computationally complex. In this paper we propose a RETINEX based approach that gives good results and is also computationally simpler.
Keywords :
computer vision; geophysical image processing; image processing; RETINEX; computer vision; dark channel prior based approach; fog removal; haze removal algorithm; haze removal method; image processing; rain removal; Atmospheric modeling; Computational modeling; Equations; Estimation; Image color analysis; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2012 7th IEEE International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-2603-2
Type :
conf
DOI :
10.1109/ICIInfS.2012.6304767
Filename :
6304767
Link To Document :
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