Single-image dehazing using scene radiance constraint and color gradient guided filter
H. N. Han; F. Qian and B. Zhang
刊名Signal Image and Video Processing
2022
卷号16期号:5页码:1297-1304
ISSN号1863-1703
DOI10.1007/s11760-021-02081-3
英文摘要Haze and other types of atmospheric particles limit visibility and reduce image contrast, which will seriously influence the visual system. In recent years, most existing single-image dehazing algorithms have made significant progress. However, most of the existing dehazing algorithms suffer from under- or over-enhancement, color distortion and halo artifacts. The dark channel prior which is widely recognized also has such problems due to improper assumptions or operations. To solve these problems, in this paper, a scene radiance constraint is proposed to remove haze and a color gradient guided filter is proposed to refine the initial transmission map. From the experimental results, it is demonstrated that the proposed method achieves excellent performance compared with the representative dehazing methods in terms of image's visibility and color restoration.
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语种英语
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/67085]  
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
H. N. Han,F. Qian and B. Zhang. Single-image dehazing using scene radiance constraint and color gradient guided filter[J]. Signal Image and Video Processing,2022,16(5):1297-1304.
APA H. N. Han,&F. Qian and B. Zhang.(2022).Single-image dehazing using scene radiance constraint and color gradient guided filter.Signal Image and Video Processing,16(5),1297-1304.
MLA H. N. Han,et al."Single-image dehazing using scene radiance constraint and color gradient guided filter".Signal Image and Video Processing 16.5(2022):1297-1304.
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