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http://dx.doi.org/10.7840/kics.2014.39C.1.28

Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems  

Shin, Seung-Ho (SK텔레콤 미래기술원 Video Tech. Lab)
Park, Youn-Sun (SK텔레콤 미래기술원 Video Tech. Lab)
Kim, Yong-Sung (SK텔레콤 미래기술원 Video Tech. Lab)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39C, no.1, 2014 , pp. 28-35 More about this Journal
Abstract
Surveillance cameras in national border and coastline area often occur the video distortion because of rapidly changing weather and light environments. It is positively necessary to enhance the distorted video quality for keeping surveillance. In this paper, we propose an adaptive video enhancement algorithm in the various environment changes. To solve an unstable performance problem of the existing method, the proposed method is based on Retinex algorithm and uses enhanced curves which is adapted in foggy and low-light conditions. In addition, we mixture the weighted HSV color model to keep color constancy and reduce noise to obtain clear images. As a results, the proposed algorithm improves the performance of well-balanced contrast enhancement and effective color restoration without any quality loss compared with the existing algorithm. We expect that this method will be used in surveillance camera systems and offer help of national defence with reliability.
Keywords
video processing; video enhancement; video surveillance; retinex algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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