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Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer

Chongyi Li, Jichang Guo, Chunle Guo
2018 IEEE Signal Processing Letters  

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2017 pre-print arXiv:1710.07084v2 fatcat:52dqaxnunfaapnlzvtbhgy35di

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2018 accepted
arXiv:1710.07084v3 fatcat:iwzezccf4zayrb7tzsxrnwnx5u
2017 pre-print
arXiv:1710.07084v1 fatcat:qdvikkixv5gvxjylrrzfftmdla
In this letter, we propose a weakly supervised color transfer method to correct color distortion, which relaxes the need of paired underwater images for training and allows for the underwater images unknown  ...  result the same as the input, but the color as if the image was taken without the water.  ...  In this letter, we present a novel weakly supervised solution for underwater image color correction, which is trained to transfer the color of underwater images by mapping them from the scenes of underwater  ... 
doi:10.1109/lsp.2018.2792050 fatcat:kjvmklagfzbx7kx62xayubdcpu
Multiple Versions
Citation

Chongyi Li, Jichang Guo, Chunle Guo. "Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer." IEEE Signal Processing Letters 25.3 (2018) 323-327

Airborne Hyperspectral Imaging for Submerged Archaeological Mapping in Shallow Water Environments

Alexandre Guyot, Marc Lennon, Nicolas Thomas, Simon Gueguen, Tristan Petit, Thierry Lorho, Serge Cassen, Laurence Hubert-Moy
2019 Remote Sensing  

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water-depth and water-bottom reflectance derived from the inversion of a radiative transfer model of the water column.  ...  In an underwater context, the difficulty of crossing the water column to reach the bottom and its potential archaeological information usually requires active remote-sensing technologies such as airborne  ...  Acknowledgments: The authors would like to thank Yves Menez for sharing his views on the current challenges in cultural heritage management that led to this research.  ... 
doi:10.3390/rs11192237 fatcat:llwml3m2dneezke7kexxvxrk5a
DOAJ Szczepanski
Citation

Alexandre Guyot, Marc Lennon, Nicolas Thomas, Simon Gueguen, Tristan Petit, Thierry Lorho, Serge Cassen, Laurence Hubert-Moy. "Airborne Hyperspectral Imaging for Submerged Archaeological Mapping in Shallow Water Environments." Remote Sensing 11.19 (2019) 2237

MetaUE: Model-based Meta-learning for Underwater Image Enhancement [article]

Zhenwei Zhang and Haorui Yan and Ke Tang and Yuping Duan
2023 arXiv   pre-print

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An efficient loss function is also designed to closely integrate the variables based on the underwater image model.  ...  The pre-trained model is then fine-tuned on real underwater datasets to obtain a reliable underwater image enhancement model, called MetaUE.  ...  images for color correction of underwater images.  ... 
arXiv:2303.06543v1 fatcat:kdzrgsip2fgknpjxdgjf55zy7i
Citation

Zhenwei Zhang and Haorui Yan and Ke Tang and Yuping Duan. "MetaUE: Model-based Meta-learning for Underwater Image Enhancement." arXiv (2023)

Generation and Processing of Simulated Underwater Images for Infrastructure Visual Inspection with UUVs

Olaya Álvarez-Tuñón, Alberto Jardón, Carlos Balaguer
2019 Sensors  

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The imaging simulation is based on a novel combination of the scattering model and style transfer techniques.  ...  However, extracting features from underwater images is challenging due to the presence of lighting defects, which need to be counteracted.  ...  The semantic color is learnt while preserving the content and structure of the image. The main interest of these algorithms relies on the use a weakly supervised model.  ... 
doi:10.3390/s19245497 pmid:31842503 pmcid:PMC6960551 fatcat:i5tiafo26vhpjihgdesn6qodv4
DOAJ
Citation

Olaya Álvarez-Tuñón, Alberto Jardón, Carlos Balaguer. "Generation and Processing of Simulated Underwater Images for Infrastructure Visual Inspection with UUVs." Sensors 19.24 (2019) 5497

Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement [article]

Yuan Zhou, Kangming Yan
2020 arXiv   pre-print

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Owing to refraction, absorption, and scattering of light by suspended particles in water, raw underwater images suffer from low contrast, blurred details, and color distortion.  ...  A new method for simulating underwater-like training dataset from RGB-D data by underwater image formation model is proposed.  ...  Li and Guo proposed an underwater image enhancement method based on dehazing and color correction [41] .  ... 
arXiv:2002.09315v1 fatcat:defskznpbjahlnjsuqi4qhgf3q
Citation

Yuan Zhou, Kangming Yan. "Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement." arXiv (2020)

Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery [article]

Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King, Steven H. Ostertag, Denton L. Woods, James L. Prater, Jermaine L. Kennedy, Timothy M. Marston, Jose C. Principe
2024 arXiv   pre-print

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The first part of our framework is trained in a supervised manner, on image-level labels, to uncover a set of semi-sparse, spatially-discriminative regions in each image.  ...  Content-addressable memories are inserted at various parts of our framework so that it can leverage features from previously seen images to improve segmentation performance for related images.  ...  by image-interpolation methods, since the flow fields only characterize motion, not changes in visual appearance.  ... 
arXiv:2401.11313v1 fatcat:dccckfscj5cnri2ftzlnbtyo5i
Open Access
Citation

Isaac J. Sledge, Dominic M. Byrne, Jonathan L. King, Steven H. Ostertag, Denton L. Woods, James L. Prater, Jermaine L. Kennedy, Timothy M. Marston, Jose C. Principe. "Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery." arXiv (2024)

Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders [article]

Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, Jose C. Principe
2021 arXiv   pre-print

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arXiv:2101.03603v1 fatcat:33ktdqvv3rc3bfzhbvvb2ixkgq
2021 pre-print
arXiv:2101.03603v2 fatcat:c6x4gkz6bvexvhwhnmcpf2cmve
2022 accepted
doi:10.1109/joe.2022.3152863 arXiv:2101.03603v4 fatcat:gwkjfqxjwfgy3alinblvpynozm
Our framework relies on a multi-branch, convolutional encoder-decoder network (MB-CEDN). The encoder portion of the MB-CEDN extracts visual contrast features from CSAS images.  ...  This illustrates that natural-image-based models may need to be altered to be effective for this imaging-sonar modality.  ...  Color contrast emerges from having facets with strong scattering directions that are different from those of surrounding regions.  ... 
arXiv:2101.03603v3 fatcat:plz7jnctrvcvjjmtovhoj6tjsq
Open Access Multiple Versions
Citation

Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, Jose C. Principe. "Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders." arXiv (2021)

Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey [article]

Alzayat Saleh, Marcus Sheaves, Dean Jerry, Mostafa Rahimi Azghadi
2022 arXiv   pre-print

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The tutorial also explains a step-by-step procedure on how DL algorithms should be developed for challenging applications such as underwater fish monitoring.  ...  We also discuss some challenges and opportunities in the emerging field of deep learning for fish habitat processing.  ...  An example of an alternative tracking method is presented in (Zhao et al., 2019) , where the image-based identification and tracking method for fish is designed based on biological water quality monitoring  ... 
arXiv:2206.05394v1 fatcat:eiu7nepqnrdzdo6awvzqkyk7oa
Open Access
Citation

Alzayat Saleh, Marcus Sheaves, Dean Jerry, Mostafa Rahimi Azghadi. "Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey." arXiv (2022)

Ultrasonic splitting of oil‐in‐water emulsions

Ralf König, Ewald Benes, Martin Gröschl, Jens Hald
1999 Journal of the Acoustical Society of America  

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., Computational Acoustics and its Environmental Applications-II ͑Computation on Mechanics Publications, Southampton, 1997͒, pp. 139-148͔ from Barron's revised theory ͓Barron et al., J. Acoust. Soc.  ...  From the analysis of these data important conclusions were otained about the behavior of the reverberant field versus source-receiver distance ͓J.  ...  The transfer functions are used to calculate emission spectra based on a known set of train spectra and corresponding transfer functions investigated elsewhere.  ... 
doi:10.1121/1.424512 fatcat:vtwriesktjcihcne2wjrqgpuu4
Citation

Ralf König, Ewald Benes, Martin Gröschl, Jens Hald. "Ultrasonic splitting of oil‐in‐water emulsions." Journal of the Acoustical Society of America 105.2 (1999) 1076-1077

Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond [article]

Shen Zheng, Yiling Ma, Jinqian Pan, Changjie Lu, Gaurav Gupta
2024 arXiv   pre-print

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2023 pre-print arXiv:2212.10772v4 fatcat:3rpgzjje4vg3rfwzqcdz7bd3au

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2022 pre-print
arXiv:2212.10772v1 fatcat:oetpcsy47vc4pomngkjzeb4ngq
2023 pre-print
arXiv:2212.10772v2 fatcat:zh7h3odqbreatjfizy5gyauxme
2023 pre-print
arXiv:2212.10772v3 fatcat:6xqnmjjpsbfwbco74qzrjtsxku
The survey concludes by highlighting emerging applications, discussing unresolved challenges, and suggesting future research directions within the LLIE community.  ...  This paper presents a comprehensive survey of low-light image and video enhancement, addressing two primary challenges in the field.  ...  Underwater Imaging Underwater imaging often occurs low-light conditions, since the lightening in deep water in very weak.  ... 
arXiv:2212.10772v5 fatcat:jjjrf3ragfcodbzhfiqpcexeiu
Multiple Versions
Citation

Shen Zheng, Yiling Ma, Jinqian Pan, Changjie Lu, Gaurav Gupta. "Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond." arXiv (2024)

Design of a horizontal axis wind turbine for experimental investigation in a large water towing tank

Sascha Krumbein
2023 Zenodo  

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In the future, the UBeRT test rig will enable unique underwater particle image velocimetry measurements of inherent instabilities of the tip vortex helix.  ...  This thesis presents the engineering workflow for designing a 1.3 m-diameter horizontal axis wind turbine model for measuring tip vortex instabilities in a large water towing tank (Underwater Berlin Research  ...  One corrective measure is to implement an actuator for changing the blade pitch depending on the operating point.  ... 
doi:10.5281/zenodo.10844601 fatcat:xspsi7taxvd6dm277mq6eiuwfi
Open Access
Citation

Sascha Krumbein. "Design of a horizontal axis wind turbine for experimental investigation in a large water towing tank." Zenodo (2023)

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review [article]

Ebenezer Olaniyi, Dong Chen, Yuzhen Lu, Yanbo Huang
2022 arXiv   pre-print

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2022 pre-print
arXiv:2204.04707v1 fatcat:5jykfb44erfg7pbizyh3mqiqse
In agricultural image analysis, optimal model performance is keenly pursued for better fulfilling visual recognition tasks (e.g., image classification, segmentation, object detection and localization),  ...  Since 2017, there has been a growth of research into GANs for image augmentation or synthesis in agriculture for improved model performance.  ...  adverse poor underwater conditions (e.g., poor illumination and object visibility in turbid water, cluttered background) that make acquiring high-fidelity/-contrast images difficult.  ... 
arXiv:2204.04707v2 fatcat:wcvmq3vl35fo7on2pqyblbzcku
Multiple Versions
Citation

Ebenezer Olaniyi, Dong Chen, Yuzhen Lu, Yanbo Huang. "Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review." arXiv (2022)

LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges [chapter]

Alexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Jean-Christophe Lombardo, Robert Planqué, Simone Palazzo, Henning Müller
2017 Lecture Notes in Computer Science  

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Unfortunately, the performance of the state-of-the-art analysis techniques on such data is still not well understood and far from reaching real world requirements.  ...  Each task is based on large volumes of real-world data and the measured challenges are defined in collaboration with biologists and environmental stakeholders to reflect realistic usage scenarios.  ...  Subtask 3 -Marine Animal Species Recognition using Weakly-Labelled Images and Relevance Ranking: Contrary to the previous subtasks, this one aims at classifying marine animals from 2D images.  ... 
doi:10.1007/978-3-319-65813-1_24 fatcat:wj5fxb7shradtglvplvibjggsm
Citation

Alexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Jean-Christophe Lombardo, Robert Planqué, Simone Palazzo, Henning Müller. "LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges." Lecture Notes in Computer Science (2017) 255-274

The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding

Genevieve Patterson, Chen Xu, Hang Su, James Hays
2014 International Journal of Computer Vision  

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Next, we build the "SUN attribute database" on top of the diverse SUN categorical database. We use crowdsourcing to annotate attributes for 14,340 images from 707 scene categories.  ...  , semantic image search, and parsing natural images.  ...  Techniques from weakly supervised object recognition might have success at discovering the spatial support of our global attributes where applicable.  ... 
doi:10.1007/s11263-013-0695-z fatcat:e4ewdhvnq5grvelyuyyua5nwhu
Citation

Genevieve Patterson, Chen Xu, Hang Su, James Hays. "The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding." International Journal of Computer Vision 108.1-2 (2014) 59-81

Medical Image Analysis using Deep Relational Learning [article]

Zhihua Liu
2023 arXiv   pre-print

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In this thesis, we propose two novel solutions to this problem based on deep relational learning.  ...  In the past ten years, with the help of deep learning, especially the rapid development of deep neural networks, medical image analysis has made remarkable progress.  ...  I cannot repay the support from my family, and it is also my biggest motivation to continue scientific research. Acknowledgements iv  ... 
arXiv:2303.16099v1 fatcat:kh5umd3h5jbjfa55cywdhozfty
Citation

Zhihua Liu. "Medical Image Analysis using Deep Relational Learning." arXiv (2023)

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