Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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A Dehazing Algorithm using the Prediction of Adaptive Transmission Map for Each Pixel

화소 단위 적응적 전달량 예측을 이용한 효율적인 안개 제거 기술

  • Received : 2016.12.08
  • Accepted : 2016.01.11
  • Published : 2017.01.30
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Abstract

We propose the dehazing algorithm which consists of two main parts, the derivation of the Atmospheric light and adaptive transmission map. In the getting the Atmospheric light value, we utilize the quad-tree partitioning where the depth of the partitioning is decided based on the difference between the averaged pixel values of the parent and children blocks. The proposed transmission map is adaptive for each pixel by using the parameter ${\beta}(x)$ to make the histogram of the pixel values in the map uniform. The simulation results showed that the proposed algorithm outperforms the conventional methods in the respect of the visual quality of the dehazed images and the computational complexity.

본 논문에서는 안개가 제거된 영상의 색상 왜곡을 방지하기 위해서 영역 분할 방법이 적용된 대기값 추정 방법을 제안한다. 이때, 효과적인 영역 분할을 수행하기 위해서 문턱치 값을 이용하여 영역 분할을 수행할지 중단할지를 결정한다. 또한, 효율적인 전달량 맵을 얻기 위해서, 적응적 가중치 계수를 사용하여 픽셀 단위마다 적응적으로 전달량 예측을 수행한다. 이를 통해 색상이 안정적이면서 후광 효과가 발생하지 않는 안개제거 알고리즘을 제안한다.

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References

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