中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Aerial image dehazing using improved dark channel prior

文献类型:期刊论文

作者H.-N. Han, F. Qian, J.-W. Lu and B. Zhang
刊名Guangxue Jingmi Gongcheng/Optics and Precision Engineering
出版日期2020
卷号28期号:6页码:1387-1394
ISSN号1004924X
DOI10.3788/OPE.20202806.1387
英文摘要Most existing dehazing algorithms suffer from under-or over-enhancement, color distortion, and halo artifacts. An improved method of atmospheric light estimation using quad-tree subdivision and an improved guided filter were proposed to solve these problems. First, a more faithful estimate of global atmospheric light was produced by quad-tree subdivision using a non-overlapped dark channel. Then, the reasons for the existence of halo artifacts in edge regions were discussed and an adaptive weight was added to the guided image filter. The improved guided image filter was used to refine the raw transmission map. Finally, based on the atmospheric scattering model, a dehazed image was obtained using the estimated atmospheric light value and refined transmission map. Experimental results indicate that the color of the dehazed image is more reliable and halo artifacts in edge regions are reduced. The proposed algorithm performs better than state-of-the-art haze removal algorithms in terms of color fidelity and detail enhancement. 2020, Science Press. All right reserved.
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源URL[http://ir.ciomp.ac.cn/handle/181722/64292]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
H.-N. Han, F. Qian, J.-W. Lu and B. Zhang. Aerial image dehazing using improved dark channel prior[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2020,28(6):1387-1394.
APA H.-N. Han, F. Qian, J.-W. Lu and B. Zhang.(2020).Aerial image dehazing using improved dark channel prior.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,28(6),1387-1394.
MLA H.-N. Han, F. Qian, J.-W. Lu and B. Zhang."Aerial image dehazing using improved dark channel prior".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 28.6(2020):1387-1394.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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