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http://dx.doi.org/10.13067/JKIECS.2021.16.6.1303

Effective Single Image Haze Removal using Edge-Preserving Transmission Estimation and Guided Image Filtering  

Kim, Jong-Ho (Dept. ICT Convergence Engineering, Sunchon National University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.16, no.6, 2021 , pp. 1303-1310 More about this Journal
Abstract
We propose an edge-preserving transmission estimation by comparing the patch-based dark channel and the pixel-based dark channel near the edge, in order to improve the quality of outdoor images deteriorated by conditions such as fog and smog. Moreover, we propose a refinement that applies the Guided Image Filtering (GIF), a kind of edge-preserving smoothing filtering methods, to edges using Laplacian operation for natural restoration of image objects and backgrounds, so that we can dehaze a single image and improve the visibility effectively. Experimental results carried out on various outdoor hazy images that show the proposed method has less computational complexity than the conventional methods, while reducing distortion such as halo effect, and showing excellent dehazing performance. In It can be confirmed that the proposed method can be applied to various fields including devices requiring real-time performance.
Keywords
Haze Removal; Transmission Estimation; Edge-Preserving Refinement; Guided Image Filtering; Image Enhancement;
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