Translator Disclaimer
3 February 2021 Single-image dehazing based on dark channel prior and fast weighted guided filtering
Author Affiliations +
Abstract

Haze scatters light transmitted in the air and reduces image quality, which greatly decreases the interpretability and intelligibility of an image. To solve these problems, we propose an improved real-time image dehazing algorithm based on dark channel prior and fast weighted guided filtering. First, the image is divided into dark areas and bright areas by the K-means clustering algorithm, and the atmospheric light value is calculated according to the proportion of the bright area in the whole image. Second, the fast weighted guided filtering algorithm is employed to generate a refined transmission map, which removes the halo artifact from around the sharp edges. Finally, the gamma correction and automatic contrast enhancement algorithms are used to adjust the brightness and contrast of the dehazing image. Experimental results demonstrate that the proposed method can effectively remove the halo artifacts, improve the color deviation, and retain more details in the images.

© 2021 SPIE and IS&T 1017-9909/2021/$28.00 © 2021 SPIE and IS&T
Fuxin Sun, Shufeng Wang, Gang Zhao, and Manxiang Chen "Single-image dehazing based on dark channel prior and fast weighted guided filtering," Journal of Electronic Imaging 30(2), 021005 (3 February 2021). https://doi.org/10.1117/1.JEI.30.2.021005
Received: 14 August 2020; Accepted: 11 January 2021; Published: 3 February 2021
JOURNAL ARTICLE
16 PAGES


SHARE
Advertisement
Advertisement
Back to Top