Aerial image dehazing using improved dark channel prior

doi:10.3788/OPE.20202806.1387

CIOMP OpenIR

	Aerial image dehazing using improved dark channel prior
	H.-N. Han, F. Qian, J.-W. Lu and B. Zhang
	2020
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	1004924X
卷号	28 期号:6 页码:1387-1394
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.
DOI	10.3788/OPE.20202806.1387
URL	查看原文
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	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.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Aerial image dehazin（2127KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载