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Single Image Haze Removal Technique via Pixel-based Joint BDCP and Hierarchical Bilateral Filter

픽셀 기반 Joint BDCP와 계층적 양방향 필터를 적용한 단일 영상 기반 안개 제거 기법

  • 오원근 (순천대학교 멀티미디어공학과) ;
  • 김종호 (순천대학교 멀티미디어공학과)
  • Received : 2018.12.20
  • Accepted : 2019.02.15
  • Published : 2019.02.28

Abstract

This paper presents a single image haze removal method via a pixel-based joint BDCP (bright and dark channel prior) and a hierarchical bilateral filter in order to reduce computational complexity and memory requirement while improving the dehazing performance. Pixel-based joint BDCP reduces the computational complexity compared to the patch-based DCP, while making it possible to estimate the atmospheric light in pixel unit and the transmission more accurately. Moreover the bilateral filter, which can smooth an image effectively while preserving edges, refines the transmission to reduce the halo effects, and its hierarchical structure applied to edges only prevents the increase of complexity from the iterative application. Experimental results on various hazy images show that the proposed method exhibits excellent haze removal performance with low computational complexity compared to the conventional methods, and thus it can be applied in various fields.

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그림 1. 안개 영상 획득의 광학적 모델 Fig. 1 Optical model for hazy image acquisition

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그림 2. Manhattan 영상에 대한 안개 제거 결과. (a) 안개 영상, (b) Tan의 방법, (c) Fattal의 방법, (d) He의 방법, (e) 제안한 방법 Fig. 2 Haze removal results for Manhattan image. (a) Input hazy image, (b) Tan's method, (c) Fattal's method, (d) He's method, (e) Proposed method

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그림 3. Yosemite 영상에 대한 안개 제거 결과. (a) 안개 영상, (b) Tan의 방법, (c) Fattal의 방법, (d) He의 방법, (e) 제안한 방법 Fig. 3 Haze removal results for Yosemite image. (a) Input hazy image, (b) Tan's method, (c) Fattal's method, (d) He's method, (e) Proposed method

표 1. 안개 제거 기법의 실행시간 비교 Table 1. Execution time comparison of each haze removal method

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Acknowledgement

Supported by : 한국연구재단

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