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Underwater video enhancement (UVE) aims to improve the visibility and frame quality of underwater videos, which has significant implications for marine research and exploration.
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2012
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Drews, P., Nascimento, E., Moraes, F., Botelho, S., Campos, M.: Transmission estimation in underwater single images. In: Proceedings of the IEEE international conference on computer vision workshops. pp. 825–830 (2013)
2013
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Hitam, M.S., Awalludin, E.A., Yussof, W.N.J.H.W., Bachok, Z.: Mixture contrast limited adaptive histogram equalization for underwater image enhancement. In: 2013 International conference on computer applications technology (ICCAT). pp. 1–5. IEEE (2013)
2013
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Lu, H., Li, Y., Serikawa, S.: Underwater image enhancement using guided trigonometric bilateral filter and fast automatic color correction. In: 2013 IEEE international conference on image processing. pp. 3412–3416. IEEE (2013)
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Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: International Conference on Learning Representations (2014)
2014
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Galdran, A., Pardo, D., Picón, A., Alvarez-Gila, A.: Automatic red-channel underwater image restoration. Journal of Visual Communication and Image Representation 26
2015
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Ghani, A.S.A., Isa, N.A.M.: Enhancement of low quality underwater image through integrated global and local contrast correction. Applied Soft Computing 37
2015
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Li, Z., Tan, P., Tan, R.T., Zou, D., Zhiying Zhou, S., Cheong, L.F.: Simultaneous video defogging and stereo reconstruction. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4988–4997 (2015)
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Panetta, K., Gao, C., Agaian, S.: Human-visual-system-inspired underwater image quality measures. IEEE Journal of Oceanic Engineering 41
2015
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Yang, M., Sowmya, A.: An underwater color image quality evaluation metric. IEEE Transactions on Image Processing 24
2015
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Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016)
2016
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Qing, C., Yu, F., Xu, X., Huang, W., Jin, J.: Underwater video dehazing based on spatial–temporal information fusion. Multidimensional Systems and Signal Processing 27
2016
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Shi, W., Caballero, J., Huszár, F., Totz, J., Aitken, A.P., Bishop, R., Rueckert, D., Wang, Z.: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1874–1883 (2016)
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2016
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Ancuti, C.O., Ancuti, C., De Vleeschouwer, C., Bekaert, P.: Color balance and fusion for underwater image enhancement. IEEE Transactions on image processing 27
2017
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Fu, X., Fan, Z., Ling, M., Huang, Y., Ding, X.: Two-step approach for single underwater image enhancement. In: 2017 international symposium on intelligent signal processing and communication systems (ISPACS). pp. 789–794. IEEE (2017)
2017
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2017
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Li, J., Skinner, K.A., Eustice, R.M., Johnson-Roberson, M.: Watergan: Unsupervised generative network to enable real-time color correction of monocular underwater images. IEEE Robotics and Automation letters 3
2017
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Su, S., Delbracio, M., Wang, J., Sapiro, G., Heidrich, W., Wang, O.: Deep video deblurring for hand-held cameras. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1279–1288 (2017)
2017
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Fabbri, C., Islam, M.J., Sattar, J.: Enhancing underwater imagery using generative adversarial networks. In: 2018 IEEE international conference on robotics and automation (ICRA). pp. 7159–7165. IEEE (2018)
2018
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Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 7132–7141 (2018)
2018
Cited alongside, same era.
Hu, K., Weng, C., Zhang, Y., Jin, J., Xia, Q.: An overview of underwater vision enhancement: From traditional methods to recent deep learning. Journal of Marine Science and Engineering 10
2022
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Jiang, Q., Zhang, Y., Bao, F., Zhao, X., Zhang, C., Liu, P.: Two-step domain adaptation for underwater image enhancement. Pattern Recognition 122
2022
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2022
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Liu, Z., Mao, H., Wu, C.Y., Feichtenhofer, C., Darrell, T., Xie, S.: A convnet for the 2020s. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 11976–11986 (2022)
2022
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Akkaynak, D., Treibitz, T.: Sea-thru: A method for removing water from underwater images. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 1682–1691 (2019)
2019
Cited alongside, same era.
Jiang, H., Zheng, Y.: Learning to see moving objects in the dark. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 7324–7333 (2019)
2019
Cited alongside, same era.
Li, C., Guo, C., Ren, W., Cong, R., Hou, J., Kwong, S., Tao, D.: An underwater image enhancement benchmark dataset and beyond. IEEE Transactions on Image Processing 29
2019
Cited alongside, same era.
Nah, S., Baik, S., Hong, S., Moon, G., Son, S., Timofte, R., Mu Lee, K.: Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. pp. 0–0 (2019)
2019
Cited alongside, same era.
Tang, C., von Lukas, U.F., Vahl, M., Wang, S., Wang, Y., Tan, M.: Efficient underwater image and video enhancement based on retinex. Signal, Image and Video Processing 13
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Wang, X., Chan, K.C., Yu, K., Dong, C., Change Loy, C.: Edvr: Video restoration with enhanced deformable convolutional networks. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops. pp. 0–0 (2019)
2019
Cited alongside, same era.
Xue, T., Chen, B., Wu, J., Wei, D., Freeman, W.T.: Video enhancement with task-oriented flow. International Journal of Computer Vision 127
2019
Cited alongside, same era.
Ye, T., Chen, S., Liu, Y., Ye, Y., Chen, E., Li, Y.: Underwater light field retention: Neural rendering for underwater imaging. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. pp. 488–497 (June 2022)
2022
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Zhang, W., Zhuang, P., Sun, H.H., Li, G., Kwong, S., Li, C.: Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement. IEEE Transactions on Image Processing 31
2022
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Cong, R., Yang, W., Zhang, W., Li, C., Guo, C.L., Huang, Q., Kwong, S.: Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators. IEEE Transactions on Image Processing (2023)
2023
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2023
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Guo, C., Wu, R., Jin, X., Han, L., Zhang, W., Chai, Z., Li, C.: Underwater ranker: Learn which is better and how to be better. In: Proceedings of the AAAI conference on artificial intelligence. vol. 37, pp. 702–709 (2023)
2023
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2023
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Li, D., Shi, X., Zhang, Y., Cheung, K.C., See, S., Wang, X., Qin, H., Li, H.: A simple baseline for video restoration with grouped spatial-temporal shift. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9822–9832 (2023)
2023
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Peng, L., Zhu, C., Bian, L.: U-shape transformer for underwater image enhancement. IEEE Transactions on Image Processing (2023)
2023
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Truong, Q.T., Vu, T.A., Ha, T.S., Lokoč, J., Wong, Y.H., Joneja, A., Yeung, S.K.: Marine video kit: a new marine video dataset for content-based analysis and retrieval. In: International Conference on Multimedia Modeling. pp. 539–550 (2023)
2023
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Varghese, N., Kumar, A., Rajagopalan, A.: Self-supervised monocular underwater depth recovery, image restoration, and a real-sea video dataset. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 12248–12258 (2023)
2023
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Wang, Z., Shen, L., Xu, M., Yu, M., Wang, K., Lin, Y.: Domain adaptation for underwater image enhancement. IEEE Transactions on Image Processing 32
2023
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Xu, J., Hu, X., Zhu, L., Dou, Q., Dai, J., Qiao, Y., Heng, P.A.: Video dehazing via a multi-range temporal alignment network with physical prior. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 18053–18062 (2023)
2023
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Zhou, J., Zhang, D., Zhang, W.: Cross-view enhancement network for underwater images. Engineering Applications of Artificial Intelligence 121
2023
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Liu, Y., Zhao, H., Chan, K.C., Wang, X., Loy, C.C., Qiao, Y., Dong, C.: Temporally consistent video colorization with deep feature propagation and self-regularization learning. Computational Visual Media 10
2024
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