Title: An image fusion dehazing algorithm based on dark channel prior and retinex

Authors: Zhongliang Wei; Guangli Zhu; Xingzhu Liang; Wenjuan Liu

Addresses: School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China ' School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China ' School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China ' School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China

Abstract: The dehazing algorithm for image processing is widely used to improve image quality, which aims to reduce the impact of hazy weather. The typical dehazing algorithm using dark channel prior (DCP) can carry out image dehazing efficiently. However, the processed image only by using DCP will lead to the low lightness and the weak colour of the image, which cannot meet the visual characteristics of the human eye in some extent. To solve this problem, this paper proposes an image fusion dehazing algorithm based on DCP and retinex. First, the original image is processed by the DCP dehazing algorithm to get the dehazed image. Then, the dehazed image is processed by using the retinex algorithm to get the enhanced image. Finally, the dehazed image and the enhanced image are fused using a linear fusion method, which is expected to improve the lightness and colour of the image after dehazing. Experimental results show that the algorithm proposed in this paper not only achieves good results for image dehazing, but also enhances its lightness and colour.

Keywords: image dehazing; dark channel prior; DCP; retinex; image fusion.

DOI: 10.1504/IJCSE.2020.110556

International Journal of Computational Science and Engineering, 2020 Vol.23 No.2, pp.115 - 123

Received: 11 Jul 2020
Accepted: 28 Aug 2020
Published online: 23 Oct 2020 *

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