DocumentCode :
2553451
Title :
Automatic Image Haze Removal Based on Luminance Component
Author :
Guo, Fan ; Cai, Zixing ; Xie, Bin ; Tang, Jin
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we propose a simple but effective method for visibility restoration from a single image. The main advantage of the proposed algorithm is no user interaction is needed, this allows our algorithm to be applied for practical applications, such as surveillance, intelligent vehicle, etc. Another advantage compared with others is its speed, since the cost of obtaining transmission map is greatly cut down by using Retinex algorithm on luminance component. A comparative study and quantitative evaluation is proposed with the main present-day methods which demonstrate that similar or better quality results are obtained.
Keywords :
computer vision; image restoration; Retinex algorithm; automatic image haze removal; luminance component; visibility restoration; Atmospheric modeling; Helium; Image color analysis; Image edge detection; Image restoration; Pixel; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
Type :
conf
DOI :
10.1109/WICOM.2010.5600632
Filename :
5600632
Link To Document :
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