A novel dual-fusion algorithm of single image dehazing based on anisotropic diffusion and Gaussian filter. (21st February 2023)

• Record Type: Journal Article
• Authors: Xiao, Kaihan; Tang, Qingshan; Liu, Si; Li, Sijie; Huang, Jiayi; Huang, Tao
• Is Part Of: International journal of computational science and engineering. Volume 26:Number 1(2023)
• Page Start: 54
• Page End: 64
• Publication Date: 2023-02-21
• Subjects: image dehazing -- dark channel prior -- DCP -- anisotropic diffusion -- fast explicit diffusion -- FED -- image fusion; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

Dark channel prior (DCP) is a widely used method in single image dehazing technology. Here, we propose a novel dual-fusion algorithm of single image dehazing based on anisotropic diffusion and Gaussian filter to suppress the halo effect or colour distortion in traditional DCP algorithms. Anisotropic diffusion is used to edge-preserving smooth images and a Gaussian filter is to smooth the local white objects. A dual-fusion strategy is conducted to optimise the atmospheric veil. Besides, the fast explicit diffusion (FED) scheme is used to accelerate the numerical solution of the anisotropic diffusion to reduce time consumption. The subjective and objective evaluation of the experiment shows that the proposed algorithm can effectively suppress the halo effect and colour distortion, and has good dehazing performance on evaluation metrics. The proposed algorithm also reduces the time consumption by 54.2% than DCP with guided filter. This study provides an effective solution for single image dehazing.