A Single Image Dehazing Method Based on Adaptive Gamma Correction

Image dehazing is an important task in control systems of autonomous vehicles. It is necessary to increase accuracy and performance of road obstacles recognition. In this paper, we propose a single image dehazing method based on adaptive gamma correction (DAGC). The DAGC method processes haze on the...

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Bibliographic Details
Published in2019 6th NAFOSTED Conference on Information and Computer Science (NICS) pp. 558 - 562
Main Authors Hong, Nguyen Minh, Chi Thanh, Nguyen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2019
Subjects
Adaptive Gamma Correction
Computer science
Conferences
Defogging
Dehazing
Density functional theory
Gamma Correction
Image color analysis
Image Processing
Image quality
Image Restoration
Task analysis
Transforms
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DOI10.1109/NICS48868.2019.9023882

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Summary:Image dehazing is an important task in control systems of autonomous vehicles. It is necessary to increase accuracy and performance of road obstacles recognition. In this paper, we propose a single image dehazing method based on adaptive gamma correction (DAGC). The DAGC method processes haze on the Value band of the HSV color space by using the Gamma-correction with estimating the adaptive parameter based on the weighting cumulative density function. Otherwise, it also improves the Saturation band. In the experiments, we tested the DAGC method on the dehazing dataset of TAU and compare with other similar dehazing methods. The results showed that, the proposed method outperformed other methods.
DOI:10.1109/NICS48868.2019.9023882