An improved sharpening algorithm for foggy picture based on dark-channel prior

DOI

10.2991/iiicec-15.2015.457How to use a DOI?

Keywords

Image defogging; atmosphere scattering model; Dark-channel prior; Joint bilateral filter

Abstract

In order to improve the clarity of degraded image in foggy weather, an improved image defogging method based on dark-channel prior is proposed. The original algorithm is sensitive to bright region and needs more computation time. An improved algorithm is proposed based on the work of previous researchers for defogging. Firstly, the sky area is adaptively selected to compute the Atmospheric light intensity. Then, fast bilateral filtering algorithm is used to refine the transmission map which greatly reduces the complexity of the algorithm. Since the color of image after haze removal is lower than the real scene, we propose a simple and effective method to adjust brightness. Experimental results indicate that the algorithm can effectively eliminate the impact of gray and bright areas on the calculations of atmospheric light and transmittance to recover the true color and clarity of the scene, while the time complexity of the algorithm is only a linear function of the input image size that can improve computing speed obviously.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Hui Liu
AU  - Peng He
PY  - 2015/03
DA  - 2015/03
TI  - An improved sharpening algorithm for foggy picture based on dark-channel prior
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 2099
EP  - 2104
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.457
DO  - 10.2991/iiicec-15.2015.457
ID  - Liu2015/03
ER  -