Single Maritime Image Defogging Based on Illumination Decomposition Using Texture and Structure Priors

  • Nguyen, Thuong Van
  • Thanh Nhat Mai, Truong
  • Lee, Chul
Citations

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22
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SCOPUS

28

초록

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.

키워드

LightingScatteringImage color analysisAtmospheric modelingPeriodic structuresLicensesLaplace equationsMaritime image defoggingsingle image defoggingimage restorationimage enhancementillumination decompositionQUALITY ASSESSMENTALGORITHM
제목
Single Maritime Image Defogging Based on Illumination Decomposition Using Texture and Structure Priors
저자
Nguyen, Thuong VanThanh Nhat Mai, TruongLee, Chul
DOI
10.1109/ACCESS.2021.3060439
발행일
2021
유형
Article
저널명
IEEE Access
9
페이지
34590 ~ 34603