DocumentCode
1790461
Title
Video dehazing without flicker artifacts using adaptive temporal average
Author
Do Kyoung Shin ; Yong Min Kim ; Ki Tae Park ; Dong-Seok Lee ; Wonju Choi ; Young Shik Moon
Author_Institution
Dept. of Radiat. Oncology, Case Western Reserve Univ., Cleveland, OH, USA
fYear
2014
fDate
22-25 June 2014
Firstpage
1
Lastpage
2
Abstract
In this paper we propose an effective video dehazing technique to reduce flicker artifacts by using adaptive temporal average. When applying a dehazing method for still image to a video sequence, flicker artifacts may occur because atmospheric values calculated independently for each frame change frame by frame. In existing approaches flicker artifacts are reduced by yielding highly correlated transmission values between adjacent frames. However, since flickering artifacts can also be caused by atmospheric light values which frequently change in a video sequence, it is necessary to effectively calculate atmospheric light values considering the correlation between adjacent frames. In this paper, we propose an approach to calculating atmospheric light values based on adaptive temporal averaging between adjacent frames. Experimental results have shown that the proposed method achieves better performance of video dehazing with less flicker artifact than existing methods.
Keywords
image enhancement; image sequences; video signal processing; adaptive temporal average; atmospheric light value; correlated transmission value; flicker artifacts; still image; video dehazing; video sequence; Abstracts; Computer science; Educational institutions; Flowcharts; Oncology; Sun; Video sequences; Flickering artifact; Temporal average; Video dehazing;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location
JeJu Island
Type
conf
DOI
10.1109/ISCE.2014.6884454
Filename
6884454
Link To Document