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Fast Single-Image Dehazing Algorithm Based on Piecewise Transformation in Optical Model
G. Bi; L. Wang; C. Chen; X. Zhang and G. Li
2021
发表期刊IEEE Photonics Journal
ISSN19430655
卷号13期号:2
摘要Single-image dehazing techniques are extensively used in outdoor optical image acquisition equipment. Most existing methods pay attention to use various priors to estimate scene transmission. In this paper, a fast single-image dehazing algorithm is proposed based on a piecewise transformation model between the minimum channels of the hazy image and the haze-free image in optical model. The minimum channel of the haze-free image is obtained by the piecewise transformation, which is a quadratic function model that we establish for the dark region, and a linear transformation model is established for the bright region. Using the minimum channels of the hazy image and the haze-free image, a transmission estimation model is established based on the haze optical model with adjustment variables. To obtain an accurate estimation of atmospheric light, we estimate the atmospheric light twice. Finally, the haze-free image is restored. Experimental results show that the proposed algorithm has minimal halo artifacts and color distortion in various depths of field, flat areas and sky areas. From the subjective evaluation, objective evaluation and running time analysis, it can be seen that the algorithm in this paper is superior to most existing technologies. 2009-2012 IEEE.
DOI10.1109/JPHOT.2021.3071384
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收录类别SCI ; EI
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/65244
专题中国科学院长春光学精密机械与物理研究所
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GB/T 7714
G. Bi,L. Wang,C. Chen,et al. Fast Single-Image Dehazing Algorithm Based on Piecewise Transformation in Optical Model[J]. IEEE Photonics Journal,2021,13(2).
APA G. Bi,L. Wang,C. Chen,&X. Zhang and G. Li.(2021).Fast Single-Image Dehazing Algorithm Based on Piecewise Transformation in Optical Model.IEEE Photonics Journal,13(2).
MLA G. Bi,et al."Fast Single-Image Dehazing Algorithm Based on Piecewise Transformation in Optical Model".IEEE Photonics Journal 13.2(2021).
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