Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Enhancement Method of CCTV Video Quality Based on SRGAN

SRGAN 기반의 CCTV 영상 화질 개선 기법

  • Ha, Hyunsoo (Dept. of Computer Eng., Graduate School, The Catholic University of Korea) ;
  • Hwang, Byung-Yeon (Dept. of Computer Eng., Graduate School, The Catholic University of Korea)
  • Received : 2017.11.27
  • Accepted : 2018.02.08
  • Published : 2018.09.30
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Abstract

CCTV has been known to possess high level of objectivity and utility. Hence, the government has recently focused on replacing low quality CCTV with higher quality ones or even by adding high resolution CCTV. However, converting all existing low-quality CCTV to high quality can be extremely costly. Furthermore, low quality videos prior to CCTV replacement are likely to be of poor quality and thus not utilized correctly. In order to solve these problems, this paper proposes a method to improve videos quality of images using SRGAN(Super Resolution Generative Advisory Networks). Through experiments, we have proven that it is possible to improve low quality CCTV videos clearly. For this experiment, a total of 4 types of CCTV videos were used and 10,000 images were sampled from each type. Those images could then be used for machine learning. The fact that the pre-process for machine learning has been done manually and the long time that required for machine learning seems to be complementary.

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References

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