KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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A Novel Image Dehazing Algorithm Based on Dual-tree Complex Wavelet Transform

  • Huang, Changxin (School of Aeronautics and Astronautics, Sichuan University) ;
  • Li, Wei (School of Aeronautics and Astronautics, Sichuan University) ;
  • Han, Songchen (School of Aeronautics and Astronautics, Sichuan University) ;
  • Liang, Binbin (School of Aeronautics and Astronautics, Sichuan University) ;
  • Cheng, Peng (School of Aeronautics and Astronautics, Sichuan University)
  • Received : 2017.12.10
  • Accepted : 2018.04.15
  • Published : 2018.10.31
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Abstract

The quality of natural outdoor images captured by visible camera sensors is usually degraded by the haze present in the atmosphere. In this paper, a fast image dehazing method based on visible image and near-infrared fusion is proposed. In the proposed method, a visible and a near-infrared (NIR) image of the same scene is fused based on the dual-tree complex wavelet transform (DT-CWT) to generate a dehazed color image. The color of the fusion image is regulated through haze concentration estimated by dark channel prior (DCP). The experiment results demonstrate that the proposed method outperforms the conventional dehazing methods and effectively solves the color distortion problem in the dehazing process.

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References

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