Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Video Haze Removal Method in HLS Color Space

HLS 색상 공간에서 동영상의 안개제거 기법

  • An, Jae Won (Dept. of Mechatronics, Chungnam National University) ;
  • Ko, Yun-Ho (Dept. of Mechatronics, Chungnam National University)
  • Received : 2016.11.16
  • Accepted : 2016.12.28
  • Published : 2017.01.30
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Abstract

This paper proposes a new haze removal method for moving image sequence. Since the conventional dark channel prior haze removal method adjusts each color component separately in RGB color space, there can be severe color distortion in the haze removed output image. In order to resolve this problem, this paper proposes a new haze removal scheme that adjusts luminance and saturation components in HLS color space while retaining hue component. Also the conventional dark channel prior haze removal method is developed to obtain best haze removal performance for a single image. Therefore, if it is applied to a moving image sequence, the estimated parameter values change rapidly and the haze removed output image sequence shows unnatural glitter defects. To overcome this problem, a new parameter estimation method using Kalman filter is proposed for moving image sequence. Experimental results demonstrate that the haze removal performance of the proposed method is better than that of the conventional dark channel prior method.

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References

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