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Underwater image enhancement (UIE) is challenging since image degradation in aquatic environments is complicated and changing over time.
A computer model for underwater camera systems
McGlamery, B. 1980 · 1980
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Computer modeling and the design of optimal underwater imaging systems
Jaffe, J. S. 1990 · 1990
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Recognition of fish species by colour and shape
Strachan, N. 1993 · 1993
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Equilibrium free energy differences from nonequilibrium measurements: a master equation approach
Jarzynski; and C. 1997 · 1997
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Applications of geo-referenced underwater photo mosaics in marine biology and archaeology
Ludvigsen, M.; Sortland, B.; Johnsen, G.; and Singh, H. 2007 · 2007
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Image quality metrics: PSNR vs. SSIM
Horé, A.; and Ziou, D. 2010 · 2010
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Optical turbulence on underwater image degradation in natural environments
Hou, W.; Woods, S.; Jarosz, E.; Goode, W.; and Weidemann, A. 2012 · 2012
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Peak signal-to-noise ratio revisited: Is simple beautiful?
Korhonen, J.; and You, J. 2012 · 2012
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Transmission Estimation in Underwater Single Images
Paulo Drews, J. R.; Nascimento, E.; Moraes, F.; Botelho, S.; and Campos, M. 2013 · 2013
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Generative adversarial nets
Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; and Bengio, Y. 2014 · 2014
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Automatic red-channel underwater image restoration
Galdran, A.; Pardo, D.; Picón, A.; and Alvarez-Gila, A. 2015 · 2015
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Sohl-Dickstein, J.; Weiss, E. A.; Maheswaranathan, N.; and Ganguli, S. 2015 · 2015
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Underwater depth estimation and image restoration based on single images
Drews, P. L.; Nascimento, E. R.; Botelho, S. S.; and Campos, M. F. M. 2016 · 2016
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The use of underwater hyperspectral imaging deployed on remotely operated vehicles-methods and applications
Johnsen, G.; Ludvigsen, M.; Sørensen, A.; and Aas, L. M. S. 2016 · 2016
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Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior
Li, C.-Y.; Guo, J.-C.; Cong, R.-M.; Pang, Y.-W.; and Wang, B. 2016 · 2016
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Underwater image restoration based on contrast enhancement
Liu, H.; and Chau, L.-P. 2016 · 2016
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Enhancement of deep-sea floor images obtained by an underwater vehicle and its evaluation by crab recognition
Ahn, J.; Yasukawa, S.; Sonoda, T.; Ura, T.; and Ishii, K. 2017 · 2017
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What is the space of attenuation coefficients in underwater computer vision?
Akkaynak, D.; Treibitz, T.; Shlesinger, T.; Loya, Y.; Tamir, R.; and Iluz, D. 2017 · 2017
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Underwater image enhancement based on conditional generative adversarial network
Yang, M.; Hu, K.; Du, Y.; Wei, Z.; and Hu, J. 2019 · 2019
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Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
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Fast underwater image enhancement for improved visual perception
Islam, M. J.; Xia, Y.; and Sattar, J. 2020 · 2020
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Denoising diffusion implicit models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2020
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Diffusion models beat gans on image synthesis
Dhariwal, P.; and Nichol, A. 2021 · 2021
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Underwater image enhancement via medium transmission-guided multi-color space embedding
Li, C.; Anwar, S.; Hou, J.; Cong, R.; Guo, C.; and Ren, W. 2021 · 2021
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Underwater image restoration based on image blurriness and light absorption
Peng, Y.-T.; and Cosman, P. C. 2017 · 2017
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Single underwater image restoration using adaptive attenuation-curve prior
Wang, Y.; Liu, H.; and Chau, L.-P. 2017 · 2017
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A revised underwater image formation model
Akkaynak, D.; and Treibitz, T. 2018 · 2018
Cited alongside, same era.
Emerging from water: Underwater image color correction based on weakly supervised color transfer
Li, C.; Guo, J.; and Guo, C. 2018 · 2018
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Generalization of the dark channel prior for single image restoration
Peng, Y.-T.; Cao, K.; and Cosman, P. C. 2018 · 2018
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Sea-thru: A method for removing water from underwater images
Akkaynak, D.; and Treibitz, T. 2019 · 2019
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Underwater image enhancement using a multiscale dense generative adversarial network
Guo, Y.; Li, H.; and Zhuang, P. 2019 · 2019
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Underwater image enhancement via learning water type desensitized representations
Fu, Z.; Lin, X.; Wang, W.; Huang, Y.; and Ding, X. 2022 · 2022
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Maxim: Multi-axis mlp for image processing
Tu, Z.; Talebi, H.; Zhang, H.; Yang, F.; Milanfar, P.; Bovik, A.; and Li, Y. 2022 · 2022
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Restormer: Efficient transformer for high-resolution image restoration
Zamir, S. W.; Arora, A.; Khan, S.; Hayat, M.; Khan, F. S.; and Yang, M.-H. 2022 · 2022
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Diffusion models in vision: A survey
Croitoru, F.-A.; Hondru, V.; Ionescu, R. T.; and Shah, M. 2023 · 2023
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Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
Li, S.; Higashita, R.; Fu, H.; Li, H.; Niu, J.; and Liu, J. 2023 · 2023
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More control for free! image synthesis with semantic diffusion guidance
Liu, X.; Park, D. H.; Azadi, S.; Zhang, G.; Chopikyan, A.; Hu, Y.; Shi, H.; Rohrbach, A.; and Darrell, T. 2023 · 2023
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U-shape transformer for underwater image enhancement
Peng, L.; Zhu, C.; and Bian, L. 2023 · 2023
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