EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 328 (2025) EPJ Web Conf., 328 (2025) 01027 References
Open Access
Issue
EPJ Web Conf.
Volume 328, 2025
First International Conference on Engineering and Technology for a Sustainable Future (ICETSF-2025)
Article Number 01027
Number of page(s) 15
DOI https://doi.org/10.1051/epjconf/202532801027
Published online 18 June 2025
  1. C. Li, S. Anwar, J. Hou, R. Cong, C. Guo, W. Ren, Underwater image enhancement via medium transmission-guided multi-color space embedding, IEEE Trans. Image Process. PP, 1–1 (2021). https://doi.org/10.1109/TIP.2021.3076367 [Google Scholar]
  2. S. Anwar, C. Li, Diving deeper into underwater image enhancement: A survey, Signal Process. Image Commun. 89, 115978 (2020). https://doi.org/10.1016/j.image.2020.115978 [Google Scholar]
  3. X. Zhou, M. Peng, Q. Jiang, R. Cong, J. Wang, Y. Chen, CA-Net: Cascaded adaptive network for underwater image enhancement, IEEE J. Ocean. Eng. PP, 1–19 (2025). https://doi.org/10.1109/JOE.2024.3501399 [Google Scholar]
  4. W. Zhang, P. Zhuang, H.-H. Sun, G. Li, S. Kwong, C. Li, Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement, IEEE Trans. Image Process. 31, 3997–4010 (2022). https://doi.org/10.1109/TIP.2022.3177129 [Google Scholar]
  5. Z. Huang, J. Li, Z. Hua, Underwater image enhancement via LBP-based attention residual network, IET Image Process. 16, 158–175 (2021). https://doi.org/10.1049/ipr2.12341 [Google Scholar]
  6. X. Fan, X. Zhou, H. Chen, Y. Xin, P. Shi, An underwater image enhancement model combining physical priors and residual network, Electron. Lett. 59, e13001 (2023). https://doi.org/10.1049/ell2.13001 [Google Scholar]
  7. D. Xiang, H. Wang, Z. Zhou, H. Zhao, P. Gao, J. Zhang, C. Shan, Underwater image enhancement based on weighted guided filter image fusion, Multimedia Syst. 30, 5 (2024). https://doi.org/10.1007/s00530-024-01432-7 [Google Scholar]
  8. C. Wu, S. Yu, Q. Hu, J. Xu, L. Zhang, Underwater image enhancement via dehazing and color restoration, arXiv preprint arXiv:2409.09779 (2024) [Google Scholar]
  9. X. Cong, Y. Zhao, J. Gui, J. Hou, D. Tao, A comprehensive survey on underwater image enhancement based on deep learning, arXiv preprint arXiv:2405.19684 (2024) [Google Scholar]
  10. X. Chen, P. Zhang, L. Quan, C. Yi, C. Lu, Underwater image enhancement based on deep learning and image formation model, arXiv preprint arXiv:2101.00991 (2021) [Google Scholar]
  11. Q. Ta, H. Xie, B. Su, Z. Zhao, Z. Zhou, Underwater image enhancement based on adaptive correction and fusion, in Proc. 2022 4th Int. Conf. Robot. Intell. Control Artif. Intell. (RICAI '22), ACM, New York, NY, USA, 308–314 (2023). https://doi.org/10.1145/3584376.3584433 [Google Scholar]
  12. Y. Lei, J. Yu, Y. Dong, C. Gong, Z. Zhou, C.-M. Pun, UIE-UnFold: Deep unfolding network with color priors and vision transformer for underwater image enhancement, arXiv preprint arXiv:2408.10653 (2024). [Google Scholar]
  13. S. Zhang, D. Li, R. Zhao, PDCFNet: Enhancing underwater images through pixel difference convolution, arXiv preprint arXiv:2409.19269 (2024). [Google Scholar]
  14. Y. Liu, Q. Jiang, X. Wang, T. Luo, J. Zhou, Underwater image enhancement with cascaded contrastive learning, arXiv preprint arXiv:2411.10682 (2024). [Google Scholar]
  15. Z. Zhang, Z. Jiang, J. Liu, X. Fan, R. Liu, WaterFlow: Heuristic normalizing flow for underwater image enhancement and beyond, arXiv preprint arXiv:2308.00931 (2023). [Google Scholar]
  16. Y.L. Lai, T.F. Ang, U.A. Bhatti, C.S. Ku, Q. Han, L.Y. Por, Color correction methods for underwater image enhancement: A systematic literature review, PLoS ONE 20, e0317306 (2025). https://doi.org/10.1371/journal.pone.0317306PLOS [CrossRef] [PubMed] [Google Scholar]
  17. X. Fan, X. Zhou, H. Chen, Y. Xin, P. Shi, An underwater image enhancement model combining physical priors and residual network, Electron. Lett. 59, e13001 (2023). https://doi.org/10.1049/ell2.13001 [Google Scholar]
  18. D. Xiang, H. Wang, Z. Zhou, H. Zhao, P. Gao, J. Zhang, C. Shan, Underwater image enhancement based on weighted guided filter image fusion, Multimedia Syst. 30, 5 (2024). https://doi.org/10.1007/s00530-024-01432-7 [Google Scholar]
  19. C. Wu, S. Yu, Q. Hu, J. Xu, L. Zhang, Underwater image enhancement via dehazing and color restoration, arXiv preprint arXiv:2409.09779 (2024). [Google Scholar]
  20. X. Cong, Y. Zhao, J. Gui, J. Hou, D. Tao, A comprehensive survey on underwater image enhancement based on deep learning, arXiv preprint arXiv:2405.19684 (2024). [Google Scholar]
  21. X. Chen, P. Zhang, L. Quan, C. Yi, C. Lu, Underwater image enhancement based on deep learning and image formation model, arXiv preprint arXiv:2101.00991 (2021). [Google Scholar]
  22. Q. Ta, H. Xie, B. Su, Z. Zhao, Z. Zhou, Underwater image enhancement based on adaptive correction and fusion, in Proc. 2022 4th Int. Conf. Robot. Intell. Control Artif. Intell. (RICAI '22), ACM, New York, NY, USA, 308–314 (2023). https://doi.org/10.1145/3584376.3584433 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.