DocumentCode :
2821349
Title :
An effecive night video enhancement algorithm
Author :
Rao, Yunbo ; Chen, Zhongho ; Sun, Ming-Ting ; Hsu, Yu-Feng ; Zhang, Zhengyou
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Night video enhancement is important for video surveillance since many objects or activities of interest occur in a dark environment which cannot be seen easily without enhancement. In this paper, we discuss several problems of existing techniques for illumination-fusion based night video enhancement, which fuses video frames from day-time backgrounds and night-time video. We then present a simple enhancement algorithm without these problems. The algorithm uses an additive enhancement term with foreground object extraction and constrained low-passed object illumination to avoid light-inversion and sensitivity problems and to reduce ghost patterns. Experimental results show the effectiveness and robustness of the proposed algorithm.
Keywords :
feature extraction; image enhancement; image fusion; video signal processing; video surveillance; additive enhancement term; constrained low-passed object illumination; effective night video enhancement algorithm; foreground object extraction; ghost pattern reduction; illumination fusion; light-inversion; sensitivity problems; video frame fusion; video surveillance; Filtering; Image fusion; Lighting; Noise; Sensitivity; Video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6115933
Filename :
6115933
Link To Document :
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