Underwater image enhancement combining low-dimensional and global features-Reference-Cited by-同舟云学术

Underwater image enhancement combining low-dimensional and global features

Published:2022-05-20 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Qiao Nianzu^ORCID,Di Lamei

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-022-02510-5.pdf

Reference26 articles.

1. Ashish, K.B., et al.: A novel fuzzy clustering based histogram model for image contrast enhancement. IEEE T. Fuzzy. Syst. 28, 2009–2021 (2019)

2. Wei, S., et al.: Enhancement of underwater images with statistical model of background light and optimization of transmission map. IEEE Trans. Broadcast. 66, 153–169 (2020)

3. Derya, A., Tali, T.: Sea-thru: a method for removing water from underwater images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2019)

4. Ho, S.L., et al.: underwater image enhancement using successive color correction and superpixel dark channel prior. Symmetry. 12, 1220 (2020)

5. Jie, L., et al.: WaterGAN: unsupervised generative network to enable real-time color correction of monocular underwater images. IEEE Robot. Autom. Let. 99 (2017)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multi-color and multistage collaborative network guided by refined transmission prior for underwater image enhancement;The Visual Computer;2024-01-12

2. Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion;International Journal of Image and Data Fusion;2023-12-06

3. Enhanced visual perception for underwater images based on multistage generative adversarial network;The Visual Computer;2022-09-24