Autonomous underwater vehicle visual enhancement using area-to-point kriging and multi-color spaces embedding
Author:
Funder
Shanghai Science and Program of Shanghai Academic/Technology Research Leader
Natural Science Foundation of Fujian Province of China
Science and Technology Commission of Shanghai Municipality
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05538-3.pdf
Reference43 articles.
1. Nakath D, She M, Song Y, Köser K (2021) In-situ joint light and medium estimation for underwater color restoration. In: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pp 3724–3733
2. Ancuti C, Ancuti CO, Haber T, Bekaert P (2012, June) Enhancing underwater images and videos by fusion. In: 2012 IEEE conference on computer vision and pattern recognition. IEEE, pp 81–88. https://doi.org/10.1109/CVPR.2012.6247661
3. Islam MJ, Xia Y, Sattar J (2020) Fast underwater image enhancement for improved visual perception[J]. IEEE Robot Autom Lett 5(2):3227–3234
4. Danckaers A, Seto ML (2020) Transmission of images by unmanned underwater vehicles[J]. Auton Robot 44(1):3–24
5. Hou G, Li J, Wang G et al (2020) A novel dark channel prior guided variational framework for underwater image restoration[J]. J Vis Commun Image Represent 66:102732
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