Fast single image dehazing using iterative bilateral filter

Kang Sun*, Bo Wang, Zhihui Zheng, Zhiqiang Zhou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

In this paper, we present a simple but efficient iterative method for increasing scene visibility and recovering haze-free scene contrast from a single hazy image. Using the dark channel prior with the haze imaging model, we directly estimate the coarse transmission map at first, then an iterative refinement module based on bilateral filter is applied to refine the transmission map. The main advantage of our algorithm compared with others is its speed and efficiency for both color and gray level images. At last, a comparative study with other state-of-art algorithms is proposed to demonstrate that similar or better quality results of our scheme are obtained with only a tiny fraction time consumption.

Original languageEnglish
Title of host publication2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Information Engineering and Computer Science, ICIECS 2010 - Wuhan, China
Duration: 25 Dec 201026 Dec 2010

Publication series

Name2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010

Conference

Conference2nd International Conference on Information Engineering and Computer Science, ICIECS 2010
Country/TerritoryChina
CityWuhan
Period25/12/1026/12/10

Keywords

  • Bilateral filter
  • Dehazing
  • Iterative
  • Transmission map refinement

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