OPT OpenIR  > 动态光学成像研究室
Optimized design of fast single image dehazing algorithm
Yang, Lei1; Bian, He1; Feng, Jia1; Zhao, Lisha2; Wang, Hua1; Liu, Qing1; Wang, Hao1; Wang, Huawei1; Liao, Jiawen1
2017-10-20
Conference Name14th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017
Source Publication2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017
Volume2018-February
Pages171-174
Conference Date2017-12-15
Conference PlaceChengdu, Sichuan Province, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank1
AbstractImaging 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.
Department动态光学成像研究室
DOI10.1109/ICCWAMTIP.2017.8301472
Indexed ByEI
ISBN9781509061259
Language英语
EI Accession Number20183105636047
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30549
Collection动态光学成像研究室
Affiliation1.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
Recommended Citation
GB/T 7714
Yang, Lei,Bian, He,Feng, Jia,et al. Optimized design of fast single image dehazing algorithm[C]:Institute of Electrical and Electronics Engineers Inc.,2017:171-174.
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