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Cited 15 time in webofscience Cited 22 time in scopus
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Single Maritime Image Defogging Based on Illumination Decomposition Using Texture and Structure Priorsopen access

Authors
Nguyen, Thuong VanThanh Nhat Mai, TruongLee, Chul
Issue Date
2021
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Lighting; Scattering; Image color analysis; Atmospheric modeling; Periodic structures; Licenses; Laplace equations; Maritime image defogging; single image defogging; image restoration; image enhancement; illumination decomposition
Citation
IEEE ACCESS, v.9, pp 34590 - 34603
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
9
Start Page
34590
End Page
34603
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/5636
DOI
10.1109/ACCESS.2021.3060439
ISSN
2169-3536
Abstract
Removing fog components from maritime images is more challenging than removing them from land images because of the complicated scattering effects. In this paper, we propose a single maritime image defogging algorithm based on illumination decomposition. First, we decompose a foggy input image into glow and glow-free layers by formulating an optimization problem and then solving it effectively, where the optimization variables are updated by closed-form solutions. Then, the fog components in the glow-free layer are removed using a defogging algorithm. Finally, the natural illumination in the glow layer is recovered using a compensation scheme to obtain the final fog-free image. Experimental results on real test images demonstrate that the proposed algorithm outperforms state-of-the-art algorithms in terms of both subjective and objective evaluation criteria.
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