Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)

Foggy Day Image Sharpening Algorithm Based on Depth of Field Estimation

Authors
Changli Li, Qian Jia
Corresponding Author
Changli Li
Available Online March 2018.
DOI
https://doi.org/10.2991/acaai-18.2018.16How to use a DOI?
Keywords
Image dehazing; depth of field estimation; White balancing; feature extraction
Abstract

Traditional dehazing methods always use the dark channel a priori method to recover the original image, which leads to the calculation of the transmission is large and takes too much time. Therefore, in this paper, we present a fog-day-based image sharpening algorithm based on depth of field estimation. This approach makes use of white balancing, which eliminates the color cast that is caused by the atmospheric color. Then we extract the depth features of the haze image and construct the depth of field estimation model. Finally, the original image is restored by estimating the depth of field of each pixel of the image. The experimental results show that the method we developed has the capability to remove the haze efficiently, by which the finest details and edges are enhanced significantly.

Copyright
© 2018, 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)

Volume Title
Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-483-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/acaai-18.2018.16How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Changli Li
AU  - Qian Jia
PY  - 2018/03
DA  - 2018/03
TI  - Foggy Day Image Sharpening Algorithm Based on Depth of Field Estimation
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 64
EP  - 68
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.16
DO  - https://doi.org/10.2991/acaai-18.2018.16
ID  - Li2018/03
ER  -