NDLI: A novel segmentation guided approach for single image dehazing

Content Provider	IEEE Xplore Digital Library
Author	Qingsong Zhu Pheng Ann Heng Ling Shao Xuelong Li
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong, China (Pheng Ann Heng) \|\| Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK (Ling Shao) \|\| Shenzhen Inst. of Adv. Technol., Chinese Univ. of Hong Kong, Shenzhen, China (Qingsong Zhu) \|\| Centre for Opt. IMagery Anal. & Learning (OPTIMAL), Xi'an Inst. of Opt. & Precision Mech., Xi'an, China (Xuelong Li)
Abstract	This paper presents a novel image haze removal approach from single image. In the algorithm, the constant albedo and dark channel prior methods are combined to represent the transmission model of hazed image. And then, the watershed segmentation approach is introduced to decompose the input image into some gray level consistent areas. Compared with traditional fixed image partition schemes, better estimation of the atmospheric light can be obtained as well as to avoid the problem of halo artifacts. With the improved haze image modeling approach and atmospheric light estimation, the dehazed image with better visual quality can be achieved.
Sponsorship	IEEE Robot. Autom. Soc.
Starting Page	2414
Ending Page	2417
File Size	6350461
Page Count	4
File Format	PDF
ISBN	9781479927449
DOI	10.1109/ROBIO.2013.6739832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Atmospheric modeling Image color analysis Mathematical model Equations Estimation Conferences
Content Type	Text
Resource Type	Article

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