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

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Effective Single Image Haze Removal using Edge-Preserving Transmission Estimation and Guided Image Filtering

에지 보존 전달량 추정 및 Guided Image Filtering을 이용한 효과적인 단일 영상 안개 제거

  • Kim, Jong-Ho (Dept. ICT Convergence Engineering, Sunchon National University)
  • 김종호 (순천대학교 ICT융합공학부)
  • Received : 2021.10.18
  • Accepted : 2021.12.17
  • Published : 2021.12.31
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Abstract

We propose an edge-preserving transmission estimation by comparing the patch-based dark channel and the pixel-based dark channel near the edge, in order to improve the quality of outdoor images deteriorated by conditions such as fog and smog. Moreover, we propose a refinement that applies the Guided Image Filtering (GIF), a kind of edge-preserving smoothing filtering methods, to edges using Laplacian operation for natural restoration of image objects and backgrounds, so that we can dehaze a single image and improve the visibility effectively. Experimental results carried out on various outdoor hazy images that show the proposed method has less computational complexity than the conventional methods, while reducing distortion such as halo effect, and showing excellent dehazing performance. In It can be confirmed that the proposed method can be applied to various fields including devices requiring real-time performance.

본 논문에서는 안개 및 스모그 등의 조건에 의해 열화된 실외영상의 화질을 개선하기 위하여 에지 근처에서 패치(patch) 단위 및 픽셀 단위의 dark channel을 비교하여 에지 정보를 보존하는 전달량 추정 방법을 제안한다. 또한 영상의 객체와 배경의 자연스러운 복원을 위하여 라플라시안 연산을 이용한 에지 정보에 Guided Image Filtering (GIF)을 적용하는 정련 과정을 통해 효과적인 단일 영상 기반 안개 제거 방법을 제안한다. 안개가 포함된 다양한 실외영상에 대해 수행한 실험 결과는 제안한 방법이 기존의 방법에 비해 적은 계산 복잡도를 갖는 동시에 후광효과와 같은 왜곡이 감소하고 우수한 안개 제거 성능을 보여 실시간성이 요구되는 기기를 포함한 다양한 분야에 적용될 수 있음을 확인할 수 있다.

Keywords

Acknowledgement

본 논문은 2021년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업의 결과임 (NRF-2021R1I1A3056637)

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