International journal of advanced smart convergence

  • 제9권3호
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  • Pages.118-126
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  • 2020
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  • 2288-2847(pISSN)
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  • 2288-2855(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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Single Image Fog Removal based on JBDC and Pixel-based Transmission Estimation

  • Kim, Jongho (Department of Multimedia Engineering, Sunchon National University)
  • 투고 : 2020.07.08
  • 심사 : 2020.07.19
  • 발행 : 2020.09.30
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초록

In this paper, we present an effective single image fog removal by using the Joint Bright and Dark Channel (JBDC) and pixel-based transmission estimation to enhance the visibility of outdoor images susceptible to degradation due to weather and environmental conditions. The conventional methods include refinement process of coarse transmission with heavy computational complexity. The proposed transmission estimation reveals excellent edge-preserving performance and does not require the refinement process. We estimate the atmospheric light in pixel-based fashion, which can improve the transmission estimation performance and visual quality of the restored image. Moreover, we propose an adaptive transmission estimation to enhance the visual quality specifically in sky regions. Comprehensive experiments on various fog images show that the proposed method exhibits reduced computational complexity and excellent fog removal performance, compared with the existing methods; thus, it can be applied to various fields including real-time devices.

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참고문헌

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