Single Image Defogging Method Based on Adaptive Modified Dark Channel Value

DOI

10.2991/msbda-19.2019.23How to use a DOI?

Keywords

Image defogging, Adaptive modification, Dark channel prior, Atmospheric scattering model

Abstract

In the conventional image defogging algorithm based on dark channel prior, the calculation deviation of dark channel value of image edge position could lead to halo effect on image. In this paper, a method for correcting dark channel value is proposed. Firstly, according to the gray difference between the minimum image and dark channel image, an adaptive threshold is obtained to determine the edge image pixels with drastic depth gray value changes. Secondly, with the threshold, the gray values are actively modified. Finally, clear fog-free image can be restored according to the atmospheric scattering model. The test results of several groups of foggy images show that after the application of the method, the halo effect effectively removed, the image color deviation corrected, and the contrast improved. The restored image looks clearer and more natural.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Peiling Li
AU  - Feng Wang
AU  - Yitao Liang
AU  - Xiao Zhang
PY  - 2019/08
DA  - 2019/08
TI  - Single Image Defogging Method Based on Adaptive Modified Dark Channel Value
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 148
EP  - 153
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.23
DO  - 10.2991/msbda-19.2019.23
ID  - Li2019/08
ER  -