The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Visibility Enhancement of Underwater Image Using a Color Transform Model

색상 변환 모델을 이용한 수중 영상의 가시성 개선

  • Received : 2015.05.19
  • Accepted : 2015.05.23
  • Published : 2015.05.31
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Abstract

In underwater, such as fish farm and sea, turbidity is increased by water droplets and various suspended, therefore light attenuation occurs depending on the depth also caused by the scattering effect of light float. In this paper, in order to improve the visibility of underwater images obtained from these aquatic environment, we propose a visibility enhancement method using a haze removal method based on dark channel prior and a trained color transform model. In order to train a color transform model, we used underwater pattern images captured from Pohang and Yeosu, and to measure the performance of the proposed method, we carried out experiment of visibility enhancement using underwater images collected from Yeosu, Geomundo and Philippines. The results show that the proposed method can improve the visibility of underwater images of various locations.

양식장 또는 바다와 같은 수중은 물방울과 다양한 부유물에 의하여 탁도가 높아지므로, 깊이에 따라 빛의 감쇠가 발생하고 부유물에 의한 빛의 산란 효과도 발생한다. 본 논문에서는 이러한 수중 환경에서 획득한 수중 영상의 가시성을 개선하기 위하여, dark channel prior 개념을 이용한 안개 제거 방법과 학습된 색상 변환 모델을 이용하여 색을 복원하는 수중 영상의 가시성 개선 방법을 제안하였다. 색상 변환 모델을 학습하기 위하여 여수와 포항에서 획득한 수중 패턴 영상을 사용하였으며, 제안 방법의 제안된 방법의 성능을 측정하기 위하여 여수, 거문도, 필리핀 등에서 수집한 수중 영상을 사용하여 가시성 개선 실험을 수행하였다. 실험 결과 제안 방법이 다양한 장소에서 수집된 수중 영상의 가시성을 개선시킴을 확인하였다.

Keywords

References

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