DocumentCode
620378
Title
Fast haze removal from a single image
Author
Qian Liu ; Maoyin Chen ; Donghua Zhou
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear
2013
fDate
25-27 May 2013
Firstpage
3780
Lastpage
3785
Abstract
Images of outdoor scenes show poor visibility in presence of haze. This results in poor performance of many outdoor images progressing systems. In this paper, we present a fast haze removal method using a single color or gray level image. Based on the analyses of physical-based model, we estimate airlight and atmospheric light utilizing the simple average filter. Our method is very simple and efficient and achieves real-time computation. Experiments demonstrate that our results achieve as good visibility as a few state-of-art algorithms´.
Keywords
filtering theory; image colour analysis; image denoising; image restoration; natural scenes; airlight estimation; atmospheric light; color image analysis; haze removal method; outdoor image progressing system; outdoor scene; physical-based model; simple average filter; Atmospheric modeling; Automation; Computational modeling; Educational institutions; Electronic mail; Program processors; Real-time systems; Haze removal; Physical-based model; Real-time; Visibility;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561607
Filename
6561607
Link To Document