Multimedia Tools and Applications

, Volume 78, Issue 2, pp 1831–1856 | Cite as

Visibility dehazing based on channel-weighted analysis and illumination tuning

  • Jung-San LeeEmail author
  • Chih-Hsuan Li
  • Hsin-Yu Lee


The air pollution and foggy weather often result in serious distortion while taking photos or recognizing patterns. He et al. have introduced the dark channel prior to solve this dehazing problem. Unfortunately, it cannot function well once the color difference of target image is large. More precisely, the dehazed result looks unnatural. Thus, we aim to develop a brand-new visibility dehazing technique based on the channel-weighted analysis and illumination tuning. The channel-weighted analysis is adopted to eliminate the unnatural effect, while the illumination tuning is applied to refine the details. Simulation results have demonstrated that the new method can guarantee the readability of a hazed image after removing noise, including the foggy photo and sandstorm one.


Visibility Dehaze Dark channel Illumination Fog Sandstorm 



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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Information Engineering and Computer ScienceFeng Chia UniversityTaichungTaiwan

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