Nighttime image dehazing with local atmospheric light and weighted entropy

Dubok Park, David K. Han, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, we propose a novel framework for nighttime image dehazing based on a nighttime haze model which accounts for varying light sources and their glow. First, glow effects are decomposed using relative smoothness. Atmospheric light is then estimated by combining global and local atmospheric lights using a local atmospheric selection map. The transmission is estimated by maximizing an objective function designed with weighted entropy. Finally, haze is removed using two estimated parameters which are atmospheric light and transmission. Experimental results validate the proposed method can achieve haze-free results while alleviating the glow effect.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PublisherIEEE Computer Society
Pages2261-2265
Number of pages5
Volume2016-August
ISBN (Electronic)9781467399616
DOIs
Publication statusPublished - 2016 Aug 3
Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
Duration: 2016 Sep 252016 Sep 28

Other

Other23rd IEEE International Conference on Image Processing, ICIP 2016
CountryUnited States
CityPhoenix
Period16/9/2516/9/28

Keywords

  • Airlight
  • Dehazing
  • Layer separation
  • Transmission
  • Weighted entropy

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Park, D., Han, D. K., & Ko, H. (2016). Nighttime image dehazing with local atmospheric light and weighted entropy. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (Vol. 2016-August, pp. 2261-2265). [7532761] IEEE Computer Society. https://doi.org/10.1109/ICIP.2016.7532761