An Image Dehazing Method Based On an Improved Retinex Theory
EbtesamMohameed Alharbi, Yilin Shan, Peng Ge, Hong Wang
Available Online September 2016.
- https://doi.org/10.2991/iccia-16.2016.21How to use a DOI?
- Image processing; Image reconstruction-restoration; Dehazing; Retinex theory.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/iccia-16.2016.21 ID - Alharbi2016/09 ER -