A multi-color and multistage collaborative network guided by refined transmission prior for underwater image enhancement

Author:

Ouyang Ting,Zhang YongjunORCID,Zhao Haoliang,Cui Zhongwei,Yang Yitong,Xu Yujie

Funder

Natural science research project of Guizhou Provincial Department of Education

Key Disciplines of Guizhou Province-Computer Science and Technology

Publisher

Springer Science and Business Media LLC

Reference53 articles.

1. Ancuti, C.O., Ancuti, C., De Vleeschouwer, C., Bekaert, P.: Color balance and fusion for underwater image enhancement. IEEE Trans. Image Process. 27, 379–393 (2017)

2. Berman, D., Levy, D., Avidan, S., Treibitz, T.: Underwater single image color restoration using haze-lines and a new quantitative dataset. IEEE Trans. Pattern Anal. Mach. Intell. 43, 2822–2837 (2020)

3. Bouguer, P.: Essai d’optique, sur la gradation de la lumiere. Claude Jombert (1729)

4. Charbonnier, P., Blanc-Feraud, L., Aubert, G., Barlaud, M.: Two deterministic half-quadratic regularization algorithms for computed imaging. In: Proceedings of 1st International Conference on Image Processing pp. 168–172. IEEE (1994)

5. Chiang, J.Y., Chen, Y.C.: Underwater image enhancement by wavelength compensation and dehazing. IEEE Trans. Image Process. 21, 1756–1769 (2011)

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