IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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Variational Image Dehazing using a Fuzzy Membership Function

  • Park, Hasil (Image Processing and Intelligent System Laboratory, Graduate School of Advanced Imaging Science and Film, Chung-Ang University) ;
  • Park, Jinho (Image Processing and Intelligent System Laboratory, Graduate School of Advanced Imaging Science and Film, Chung-Ang University) ;
  • Kim, Heegwang (Image Processing and Intelligent System Laboratory, Graduate School of Advanced Imaging Science and Film, Chung-Ang University) ;
  • Paik, Joonki (Image Processing and Intelligent System Laboratory, Graduate School of Advanced Imaging Science and Film, Chung-Ang University)
  • Received : 2016.12.12
  • Accepted : 2017.02.27
  • Published : 2017.04.30
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Abstract

This paper presents a dehazing method based on a fuzzy membership function and variational method. The proposed algorithm consists of three steps: i) estimate transmission through a pixel-based operation using a fuzzy membership function, ii) refine the transmission using an L1-norm-based regularization method, and iii) obtain the result of haze removal based on a hazy image formation model using the refined transmission. In order to prevent color distortion of the sky region seen in conventional methods, we use a trapezoid-type fuzzy membership function. The proposed method acquires high-quality images without halo artifacts and loss of color contrast.

Keywords

References

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