Single Maritime Image Defogging Based on Illumination Decomposition Using Texture and Structure Priorsopen access
- Authors
- Nguyen, Thuong Van; Thanh Nhat Mai, Truong; Lee, 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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- Appears in
Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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