Hybrid single image dehazing with bright channel and dark channel priors

This paper proposes a novel method combining dark channel prior (DCP) and bright channel prior (BCP) for single image dehazing. The proposed method achieves airlight approximations by implementing numerical proximity of atmospheric light, which use the average value of the DCP and BCP. Meanwhile, in...

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Bibliographic Details
Published in2017 2nd International Conference on Image, Vision and Computing (ICIVC) pp. 381 - 385
Main Authors Jackson, Jehoiada, Ariyo, Oluwasanmi, Acheampong, Kingsley, Boakye, Maxwell, Frimpong, Enoch, Ashalley, Eric, Yunbo Rao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2017
Subjects
Approximation algorithms
bright channel prior
Channel estimation
dark channel prior
Estimation
fast guided filter
Filtering algorithms
Image color analysis
image dehazing
Optical filters
Programmable logic arrays
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Summary:This paper proposes a novel method combining dark channel prior (DCP) and bright channel prior (BCP) for single image dehazing. The proposed method achieves airlight approximations by implementing numerical proximity of atmospheric light, which use the average value of the DCP and BCP. Meanwhile, in order to reduce computational time, a fast guided filtration method is used for the transmission map refinement. Experimental results on a variety of outdoor hazy images show the effectiveness and robustness of the proposed algorithm.
DOI:10.1109/ICIVC.2017.7984582