Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems 


Vol. 39,  No. 1, pp. 28-35, Jan.  2014


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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.

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  Cite this article

[IEEE Style]

S. Shin, Y. Park, Y. Kim, "Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 1, pp. 28-35, 2014. DOI: .

[ACM Style]

Seung-ho Shin, Youn-sun Park, and Yong-sung Kim. 2014. Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems. The Journal of Korean Institute of Communications and Information Sciences, 39, 1, (2014), 28-35. DOI: .

[KICS Style]

Seung-ho Shin, Youn-sun Park, Yong-sung Kim, "Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 1, pp. 28-35, 1. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880