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A Variational Framework for Underwater Image Dehazing and Deblurring.

, , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (6): 3514-3526 (2022)

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A Variational Framework for Underwater Image Dehazing and Deblurring., , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (6): 3514-3526 (2022)Image Segmentation via the Continuous Max-Flow Method Based on Chan-Vese Model., , , , and . IGTA, volume 757 of Communications in Computer and Information Science, page 232-242. Springer, (2017)Efficient L1-based nonlocal total variational model of Retinex for image restoration., , , , , and . J. Electronic Imaging, 27 (05): 051207 (2018)A novel dark channel prior guided variational framework for underwater image restoration., , , , , and . J. Vis. Commun. Image Represent., (2020)Hue preserving-based approach for underwater colour image enhancement., , , , and . IET Image Process., 12 (2): 292-298 (2018)An Enhanced High-Order Variational Model Based on Speckle Noise Removal With $G^0$ Distribution., , , , , and . IEEE Access, (2019)Variational total curvature model for multiplicative noise removal., , , , , and . IET Comput. Vis., 12 (4): 542-552 (2018)A Training-Based Blind Underwater Image Quality Evaluation Metric., , , , , and . ICBDT, page 236-241. ACM, (2022)A Hybrid Framework for Underwater Image Enhancement., , , and . IEEE Access, (2020)