Optimized design of fast single image dehazing algorithm

doi:10.1109/ICCWAMTIP.2017.8301472

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 动态光学成像研究室

	Optimized design of fast single image dehazing algorithm
	Yang, Lei 1; Bian, He 1; Feng, Jia 1; Zhao, Lisha 2; Wang, Hua 1; Liu, Qing 1; Wang, Hao 1; Wang, Huawei 1; Liao, Jiawen 1
	2017-10-20
会议日期	2017-12-15
会议地点	Chengdu, Sichuan Province, China
卷号	2018-February
DOI	10.1109/ICCWAMTIP.2017.8301472
页码	171-174
英文摘要	Imaging in the atmosphere presents the phenomenons of low contrast, low saturation and hue offset due to atmospheric particles such as haze and fog. In this paper, an optimized design method is proposed to remove haze from a single image. Based on the atmospheric scattering model, dark channel prior is used to estimate the value of global atmospheric light by an interval. Meanwhile, the initial estimation of medium transmission is obtained. And the white balance is performed to simplify the atmospheric scattering model. Then, to deal with the invalid case of the dark channel, we exploit a scheme to identify bright area based on dual threshold and develop a way to correct transmission rate, which enables the dark channel prior to be more applicable. Finally, enhanced processing is introduced by adopting nonlinear contrast stretching, which improves the visual effect of dehazing images. The experimental results show that the proposed method can achieve a faster processing speed, effectively improve the visibility and contrast of the restored image, and obtain good color effect. © 2017 IEEE.
产权排序	1
会议录	2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
语种	英语
ISBN号	9781509061259
内容类型	会议论文
源URL	[http://ir.opt.ac.cn/handle/181661/30549]
专题	西安光学精密机械研究所_动态光学成像研究室
作者单位	1.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; 2.Xing Zhi College of Xi'an, University of Finance and Economics, Xi'an; 710038, China
推荐引用方式 GB/T 7714	Yang, Lei,Bian, He,Feng, Jia,et al. Optimized design of fast single image dehazing algorithm[C]. 见:. Chengdu, Sichuan Province, China. 2017-12-15.