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http://dx.doi.org/10.5573/ieie.2015.52.11.055

Robust Method of Video Contrast Enhancement for Sudden Illumination Changes  

Park, Jin Wook (Department of Computer Science and Engineering Hanyang University)
Moon, Young Shik (Department of Computer Science and Engineering Hanyang University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.11, 2015 , pp. 55-65 More about this Journal
Abstract
Contrast enhancement methods for a single image applied to videos may cause flickering artifacts because these methods do not consider continuity of videos. On the other hands, methods considering the continuity of videos can reduce flickering artifacts but it may cause unnecessary fade-in/out artifacts when the intensity of videos changes abruptly. In this paper, we propose a robust method of video contrast enhancement for sudden illumination changes. The proposed method enhances each frame by Fast Gray-Level Grouping(FGLG) and considers the continuity of videos by an exponential smoothing filter. The proposed method calculates the smoothing factor of an exponential smoothing filter using a sigmoid function and applies to each frame to reduce unnecessary fade-in/out effects. In the experiment, 6 measurements are used for the performance analysis of the proposed method and traditional methods. Through the experiment. it has been shown that the proposed method demonstrates the best quantitative performance of MSSIM and Flickering score and show the adaptive enhancement under sudden illumination change through the visual quality comparison.
Keywords
image processing; contrast enhancement; flickering artifacts; exponential smoothing; histogram grouping;
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Times Cited By KSCI : 2  (Citation Analysis)
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