Title :
Fast haze removal from a single image
Author :
Qian Liu ; Maoyin Chen ; Donghua Zhou
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561607