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Single image haze removal based on luminance weight prior
Cui T(崔童); Qu LQ(屈靓琼); Tian JD(田建东); Tang YD(唐延东)
Department机器人学研究室
Conference Name6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
Conference DateJune 19-22, 2016
Conference PlaceChengdu, China
Source Publication6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2016
Pages332-336
Indexed ByEI ; CPCI(ISTP)
EI Accession number20164302940190
WOS IDWOS:000389835200061
Contribution Rank1
ISSN2379-7711
ISBN978-1-5090-2732-3
AbstractIn this paper, we propose a simple and effective luminance weight prior for single image dehazing. This prior is based on the observation that the atmospheric airlight closely relates to luminance of haze-free image. Plenty of statistical experiments validates that, at each pixel, the normalized luminance of input image can represent the portion of global atmospheric light that reaches the camera. The luminance weight prior utilizes the normalized luminance matrix to approach the weight map of the atmospheric airlight. After refining the pixel-wise rough luminance weight map by guided filter, with an adaptive postprocessing method we adjust the range of the luminance weight matrix to handle the dense hazy images. Our experimental results and comparative experiments demonstrate that our physically-based algorithm can get clear and high contrast haze-free images, even for dense hazy images.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19305
Collection机器人学研究室
Corresponding AuthorCui T(崔童)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation
GB/T 7714
Cui T,Qu LQ,Tian JD,et al. Single image haze removal based on luminance weight prior[C]. Piscataway, NJ, USA:IEEE,2016:332-336.
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