Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

An Improved Method of Removing Fog and Haze Effect From Images

Authors
Jia Shi, Ke-jian Yang
Corresponding Author
Jia Shi
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.307How to use a DOI?
Keywords
Image dehazing; Histogram equalization;Blocking effect; Interpolation
Abstract

To process the fog and haze image,a local histogram equalization based on distant scale factor interpolation method to deal with the blocking effect was proposed .In this paper,We analyzed the basic features of the haze image,that is, low brightness and low contrast. And then,for these features we choose local histogram equalization and proposed an improved interpolation method to eliminate the blocking effect.The simulation results demonstrated that the proposed method can reduce time consumption,while suppressing the color distortion,improving the image contrast and getting satisfactory results.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
10.2991/icmmita-16.2016.307
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.307How to use a DOI?
Copyright
© 2017, 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  - Jia Shi
AU  - Ke-jian Yang
PY  - 2017/01
DA  - 2017/01
TI  - An Improved Method of Removing Fog and Haze Effect From Images
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1367
EP  - 1372
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.307
DO  - 10.2991/icmmita-16.2016.307
ID  - Shi2017/01
ER  -