Single image dehazing via a dual-fusion method

被引:17
作者
Gao, Yin [1 ]
Li, Qiming [1 ]
Li, Jun [1 ]
机构
[1] Chinese Acad Sci, Quanzhou Inst Equipment Mfg, Quanzhou, Peoples R China
关键词
Image dehazing; Multi-region fusion; Exposure fusion; New speckle reducing anisotropic diffusion model; ENHANCEMENT; VISION; VISIBILITY;
D O I
10.1016/j.imavis.2019.103868
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Single image dehazing is a challenging task because of the hue and brightness distortion problems. In this paper, we propose a dual-fusion method for single image dehazing. By a segmentation method creating two divided regions, the sky and non-sky regions can be obtained. To properly optimize the transmission, a multi-region fusion method is proposed for single image smooth. An exposure fusion method is constructed by the brightness transform function to effectively remove the haze from a single image. Experimental results show that this method outperforms state-of-the-art dehazing methods in terms of both efficiency and the dehazing effect. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
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