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Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems
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 Title & Authors
Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems
Shin, Seung-Ho; Park, Youn-Sun; Kim, Yong-Sung;
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 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;
 Language
Korean
 Cited by
1.
다중크기 회색계 알고리즘 기반의 통합된 보정 계수를 이용한 바랜 영상 개선,경왕준;김대철;하영호;

한국통신학회논문지, 2014. vol.39A. 8, pp.459-466 crossref(new window)
2.
다운 스케일 영상을 이용한 적응적인 비국부 평균 노이즈 제거 방식,응웬 뚜안안;김동영;홍민철;

한국통신학회논문지, 2015. vol.40. 1, pp.55-57 crossref(new window)
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