An Image Dehazing Method Based On an Improved Retinex Theory

DOI

10.2991/iccia-16.2016.21How to use a DOI?

Keywords

Image processing; Image reconstruction-restoration; Dehazing; Retinex theory.

Abstract

Image quality is often affected in many ways by the atmosphere, especially in foggy weather conditions. Dehazing is a highly demanded operation within the domain of image processing for various applications. The paper proposes a new single-image dehazing algorithm based on the single scale retinex (SSR) algorithm, combined with the theory of atmospheric scattering. Compared with the SSR algorithm, the proposed algorithm is shown to effectively take advantage of the abundance of information within an image and offers a clearer dehazing output within distant image scenes. Compared with the histogram equalization algorithm, our algorithm achieves a higher degree of natural colour restoration and hence yields a high color fidelity. Additionally, the algorithm exhibits a higher efficiency in recovering image features from objective and subjective points of view.

Copyright

© 2016, 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  - EbtesamMohameed Alharbi
AU  - Yilin Shan
AU  - Peng Ge
AU  - Hong Wang
PY  - 2016/09
DA  - 2016/09
TI  - An Image Dehazing Method Based On an Improved Retinex Theory
BT  - Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 108
EP  - 114
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.21
DO  - 10.2991/iccia-16.2016.21
ID  - Alharbi2016/09
ER  -