Dong, Y.T.[Yan-Ting],
Carin, L.[Lawrence],
Rate-distortion analysis of discrete-HMM pose estimation via
multiaspect scattering data,
PAMI(25), No. 7, July 2003, pp. 872-883.
IEEE Abstract.
0307
Pose from sequence of scattered waveforms.
Apply to underwater.
BibRef
Li, Q.Z.[Qing-Zhong],
Wang, W.J.[Wen-Jin],
Low-bit-rate coding of underwater color image using improved wavelet
difference reduction,
JVCIR(21), No. 7, October 2010, pp. 762-769.
Elsevier DOI
1003
Wavelet difference reduction (WDR), Underwater image compression;
Wavelet transform, Low-bit-rate coding, Underwater acoustic channel;
Underwater color image, Underwater observation, Wavelet tree, Image
transmission
BibRef
Telem, G.[Gili],
Filin, S.[Sagi],
Photogrammetric modeling of underwater environments,
PandRS(65), No. 5, September 2010, pp. 433-444.
Elsevier DOI
1003
Underwater photogrammetry, Close-range, Calibration, Estimation
BibRef
Telem, G.[Gili],
Filin, S.[Sagi],
Photogrammetric modeling of the relative orientation in underwater
environments,
PandRS(86), No. 1, 2013, pp. 150-156.
Elsevier DOI
1312
Underwater photogrammetry
BibRef
Garaba, S.P.[Shungudzemwoyo P.],
Voß, D.[Daniela],
Zielinski, O.[Oliver],
Physical, Bio-Optical State and Correlations in North-Western
European Shelf Seas,
RS(6), No. 6, 2014, pp. 5042-5066.
DOI Link
1407
Understanding underwater properties by color.
BibRef
Liu, X.P.[Xiao-Peng],
Zhong, G.Q.[Guo-Qiang],
Liu, C.[Cong],
Dong, J.Y.[Jun-Yu],
Underwater image colour constancy based on DSNMF,
IET-IPR(11), No. 1, January 2017, pp. 38-43.
DOI Link
1703
BibRef
Churnside, J.H.[James H.],
Marchbanks, R.D.[Richard D.],
Lembke, C.[Chad],
Beckler, J.[Jordon],
Optical Backscattering Measured by Airborne Lidar and Underwater
Glider,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Li, C.Y.[Chong-Yi],
Guo, J.C.[Ji-Chang],
Guo, C.L.[Chun-Le],
Cong, R.M.[Run-Min],
Gong, J.C.[Jia-Chang],
A hybrid method for underwater image correction,
PRL(94), No. 1, 2017, pp. 62-67.
Elsevier DOI
1708
Underwater, image, correction
BibRef
Emberton, S.[Simon],
Chittka, L.[Lars],
Cavallaro, A.[Andrea],
Underwater image and video dehazing with pure haze region
segmentation,
CVIU(168), 2018, pp. 145-156.
Elsevier DOI
1804
Dehazing, Image processing, Segmentation, Underwater,
White balancing, Video processing
BibRef
Jian, M.[Muwei],
Qi, Q.A.[Qi-Ang],
Dong, J.Y.[Jun-Yu],
Yin, Y.L.[Yi-Long],
Lam, K.M.[Kin-Man],
Integrating QDWD with pattern distinctness and local contrast for
underwater saliency detection,
JVCIR(53), 2018, pp. 31-41.
Elsevier DOI
1805
Underwater image, Saliency detection, QDWD,
Pattern distinctness, Local contrast
BibRef
Barros, W.[Wagner],
Nascimento, E.R.[Erickson R.],
Barbosa, W.V.[Walysson V.],
Campos, M.F.M.[Mario F.M.],
Single-shot underwater image restoration: A visual quality-aware
method based on light propagation model,
JVCIR(55), 2018, pp. 363-373.
Elsevier DOI
1809
Image restoration, Underwater vision, Feature-preserving,
Visibility, Inverse problem
BibRef
Mangeruga, M.[Marino],
Casavola, A.[Alessandro],
Pupo, F.[Francesco],
Bruno, F.[Fabio],
An Underwater Pathfinding Algorithm for Optimised Planning of Survey
Dives,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Zhou, Y.,
Wu, Q.,
Yan, K.,
Feng, L.,
Xiang, W.,
Underwater Image Restoration Using Color-Line Model,
CirSysVideo(29), No. 3, March 2019, pp. 907-911.
IEEE DOI
1903
Image color analysis, Degradation, Image restoration, Estimation,
Atmospheric modeling, Mathematical model, Atmospheric waves,
ocean optics
BibRef
Elnashef, B.[Bashar],
Filin, S.[Sagi],
Direct linear and refraction-invariant pose estimation and
calibration model for underwater imaging,
PandRS(154), 2019, pp. 259-271.
Elsevier DOI
1907
Flat refractive, Underwater, Imaging, Pose estimation, Calibration
BibRef
Wang, K.Y.[Ke-Yan],
Hu, Y.[Yan],
Chen, J.[Jun],
Wu, X.Y.[Xian-Yun],
Zhao, X.[Xi],
Li, Y.S.[Yun-Song],
Underwater Image Restoration Based on a Parallel Convolutional Neural
Network,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Raihan, A.J.[A. Jarina],
Abas, P.E.[Pg Emeroylariffion],
de Silva, L.C.[Liyanage C.],
Review of underwater image restoration algorithms,
IET-IPR(13), No. 10, 22 August 2019, pp. 1587-1596.
DOI Link
1909
BibRef
Hou, G.J.[Guo-Jia],
Li, J.M.[Jing-Ming],
Wang, G.D.[Guo-Dong],
Yang, H.[Huan],
Huang, B.X.[Bao-Xiang],
Pan, Z.K.[Zhen-Kuan],
A novel dark channel prior guided variational framework for
underwater image restoration,
JVCIR(66), 2020, pp. 102732.
Elsevier DOI
2003
Underwater image restoration, Dehazing and denoising, UTV, ADMM, UDCP
BibRef
Chadebecq, F.[François],
Vasconcelos, F.[Francisco],
Lacher, R.[René],
Maneas, E.[Efthymios],
Desjardins, A.[Adrien],
Ourselin, S.[Sébastien],
Vercauteren, T.[Tom],
Stoyanov, D.[Danail],
Refractive Two-View Reconstruction for Underwater 3D Vision,
IJCV(128), No. 5, May 2020, pp. 1101-1117.
Springer DOI
2005
BibRef
Dudhane, A.,
Hambarde, P.,
Patil, P.,
Murala, S.,
Deep Underwater Image Restoration and Beyond,
SPLetters(27), 2020, pp. 675-679.
IEEE DOI
2005
Image restoration, Image color analysis, Image enhancement,
Distortion, Feature extraction, Image databases, Task analysis,
underwater haze
BibRef
Jiang, Q.[Qin],
Chen, Y.[Yang],
Wang, G.Y.[Guo-Yu],
Ji, T.T.[Ting-Ting],
A novel deep neural network for noise removal from underwater image,
SP:IC(87), 2020, pp. 115921.
Elsevier DOI
2007
Underwater image, Noise removal,
Generative adversarial network, Self-attention, Spectral normalization
BibRef
Helmholz, P.[Petra],
Lichti, D.D.[Derek D.],
Investigation of Chromatic Aberration and Its Influence on the
Processing of Underwater Imagery,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Jian, M.[Muwei],
Liu, X.Y.[Xiang-Yu],
Luo, H.J.[Han-Jiang],
Lu, X.W.[Xiang-Wei],
Yu, H.[Hui],
Dong, J.Y.[Jun-Yu],
Underwater image processing and analysis: A review,
SP:IC(91), 2021, pp. 116088.
Elsevier DOI
2012
Underwater image, Marine environment,
Underwater saliency detection, Color? constancy
BibRef
Yuan, F.[Fei],
Zhan, L.H.[Li-Hui],
Pan, P.[Panwang],
Cheng, E.[En],
Low bit-rate compression of underwater image based on human visual
system,
SP:IC(91), 2021, pp. 116082.
Elsevier DOI
2012
Underwater image compression, Chroma masking, Visual masking,
Hybrid wavelets and directional filter banks(DFBs)
BibRef
Reggiannini, M.[Marco],
Moroni, D.[Davide],
The Use of Saliency in Underwater Computer Vision: A Review,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Lin, Y.,
Shen, L.,
Wang, Z.,
Wang, K.,
Zhang, X.,
Attenuation Coefficient Guided Two-Stage Network for Underwater Image
Restoration,
SPLetters(28), 2021, pp. 199-203.
IEEE DOI
2102
Distortion, Attenuation, Image restoration, Estimation, Absorption,
Scattering, Optical distortion,
underwater physical model
BibRef
Wang, H.[Huan],
Wu, H.[Hao],
Hu, Q.[Qian],
Chi, J.N.[Jian-Ning],
Yu, X.S.[Xiao-Sheng],
Wu, C.D.[Cheng-Dong],
Underwater image super-resolution using multi-stage information
distillation networks,
JVCIR(77), 2021, pp. 103136.
Elsevier DOI
2106
Underwater image, Super-resolution,
Visually-guided underwater robots, Convolutional neural network
BibRef
Fayaz, S.[Sheezan],
Parah, S.A.[Shabir A.],
Qureshi, G.J.,
Kumar, V.[Vijaya],
Underwater image restoration: A state-of-the-art review,
IET-IPR(15), No. 2, 2021, pp. 269-285.
DOI Link
2106
BibRef
Berman, D.[Dana],
Levy, D.[Deborah],
Avidan, S.[Shai],
Treibitz, T.[Tali],
Underwater Single Image Color Restoration Using Haze-Lines and a New
Quantitative Dataset,
PAMI(43), No. 8, August 2021, pp. 2822-2837.
IEEE DOI
2107
Image color analysis, Attenuation, Image restoration,
Channel estimation, Cameras,
image color analysis
See also Single Image Dehazing Using Haze-Lines.
BibRef
Levy, D.[Deborah],
Levy, D.[Deborah],
Belfer, Y.[Yuval],
Osherov, E.[Elad],
Bigal, E.[Eyal],
Scheinin, A.P.[Aviad P.],
Nativ, H.[Hagai],
Tchernov, D.[Dan],
Treibitz, T.[Tali],
Automated Analysis of Marine Video with Limited Data,
Environmental18(1466-14668)
IEEE DOI
1812
Detectors, Training, Organisms, Object detection, Task analysis,
Feature extraction, Lighting
BibRef
Akkaynak, D.,
Treibitz, T.,
A Revised Underwater Image Formation Model,
CVPR18(6723-6732)
IEEE DOI
1812
Attenuation, Scattering, Atmospheric modeling,
Image color analysis, Mathematical model, Oceans, Absorption
BibRef
Montes-Herrera, J.C.[Juan C.],
Cimoli, E.[Emiliano],
Cummings, V.[Vonda],
Hill, N.[Nicole],
Lucieer, A.[Arko],
Lucieer, V.[Vanessa],
Underwater Hyperspectral Imaging (UHI): A Review of Systems and
Applications for Proximal Seafloor Ecosystem Studies,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Ding, X.Y.[Xue-Yan],
Liang, Z.[Zheng],
Wang, Y.[Yafei],
Fu, X.P.[Xian-Ping],
Depth-aware total variation regularization for underwater image
dehazing,
SP:IC(98), 2021, pp. 116408.
Elsevier DOI
2109
Underwater image dehazing, Optimization function, Normalized scene depth
BibRef
Li, X.B.[Xin-Bin],
Lei, C.B.[Cheng-Bo],
Yu, H.F.[Hai-Feng],
Feng, Y.K.[Yan-Kai],
Underwater image restoration by color compensation and color-line
model,
SP:IC(101), 2022, pp. 116569.
Elsevier DOI
2201
Underwater image restoration, Color-line model,
Color compensation, Attenuation coefficient
BibRef
Gangisetty, S.[Shankar],
Rai, R.R.[Raghu Raj],
FloodNet:
Underwater image restoration based on residual dense learning,
SP:IC(104), 2022, pp. 116647.
Elsevier DOI
2204
Underwater image restoration, Residual dense block,
Global feature fusion, Convolutional neural network, UIEB dataset
BibRef
Vasilkov, A.[Alexander],
Krotkov, N.[Nickolay],
Haffner, D.[David],
Fasnacht, Z.[Zachary],
Joiner, J.[Joanna],
Estimates of Hyperspectral Surface and Underwater UV Planar and
Scalar Irradiances from OMI Measurements and Radiative Transfer
Computations,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Vasilkov, A.[Alexander],
Krotkov, N.[Nickolay],
Bandel, M.[Matthew],
Jethva, H.[Hiren],
Haffner, D.[David],
Fasnacht, Z.[Zachary],
Torres, O.[Omar],
Ahn, C.W.[Chang-Woo],
Joiner, J.[Joanna],
Absorbing Aerosol Effects on Hyperspectral Surface and Underwater UV
Irradiances from OMI Measurements and Radiative Transfer Computations,
RS(17), No. 3, 2025, pp. 562.
DOI Link
2502
BibRef
Xie, J.[Jun],
Hou, G.J.[Guo-Jia],
Wang, G.D.[Guo-Dong],
Pan, Z.K.[Zhen-Kuan],
A Variational Framework for Underwater Image Dehazing and Deblurring,
CirSysVideo(32), No. 6, June 2022, pp. 3514-3526.
IEEE DOI
2206
Scattering, Image restoration, Image color analysis,
Channel estimation, Kernel, Cameras, Estimation, Complete UIFM, ADMM
BibRef
He, Y.T.[Yun-Tao],
Liu, Y.J.[Yong-Jun],
Liu, C.[Chang],
Li, D.[Duan],
Analysis of Transmission Depth and Photon Number in Monte Carlo
Simulation for Underwater Laser Transmission,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Gu, C.J.[Chang-Jun],
Cong, Y.[Yang],
Sun, G.[Gan],
Gao, Y.J.[Ya-Jun],
Tang, X.[Xu],
Zhang, T.[Tao],
Fan, B.J.[Bao-Jie],
MedUCC: Medium-Driven Underwater Camera Calibration for Refractive
3-D Reconstruction,
SMCS(52), No. 9, September 2022, pp. 5937-5948.
IEEE DOI
2208
Cameras, Calibration, Glass, Solid modeling, Computational modeling,
Robot vision systems, Pose estimation,
underwater vision
BibRef
Han, J.L.[Jun-Lin],
Shoeiby, M.[Mehrdad],
Malthus, T.[Tim],
Botha, E.[Elizabeth],
Anstee, J.[Janet],
Anwar, S.[Saeed],
Wei, R.[Ran],
Armin, M.A.[Mohammad Ali],
Li, H.D.[Hong-Dong],
Petersson, L.[Lars],
Underwater Image Restoration via Contrastive Learning and a
Real-World Dataset,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Chen, J.[Jian],
Wu, H.T.[Hao-Tian],
Lu, L.[Lu],
Luo, X.Y.[Xiang-Yang],
Hu, J.K.[Jian-Kun],
Single underwater image haze removal with a learning-based approach
to blurriness estimation,
JVCIR(89), 2022, pp. 103656.
Elsevier DOI
2212
Underwater image, Image dehazing, Image restoration, Image enhancement
BibRef
Elnashef, B.[Bashar],
Filin, S.[Sagi],
Geometry, calibration, and robust centering procedures for refractive
dome-port based imaging systems,
PandRS(194), 2022, pp. 132-151.
Elsevier DOI
2212
Underwater imaging, Dome ports, Calibration, Pose estimation, Centering
BibRef
Zhang, C.[Chendi],
Sun, A.[Ao'ran],
Hassan, M.A.[Marwan A.],
Qin, C.[Chao],
Assessing Through-Water Structure-from-Motion Photogrammetry in
Gravel-Bed Rivers under Controlled Conditions,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Zhang, Y.B.[Yan-Bao],
Liu, Y.[Yike],
Yi, J.[Jia],
Least-Squares Reverse-Time Migration of Water-Bottom-Related
Multiples,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Mei, X.K.[Xin-Kui],
Ye, X.F.[Xiu-Fen],
Zhang, X.F.[Xiao-Feng],
Liu, Y.S.[Yu-Song],
Wang, J.T.[Jun-Ting],
Hou, J.[Jun],
Wang, X.L.[Xu-Li],
UIR-Net: A Simple and Effective Baseline for Underwater Image
Restoration and Enhancement,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Liu, B.[Bohan],
Men, S.J.[Shao-Jie],
Ding, Z.J.[Zhong-Jun],
Li, D.[Dewei],
Zhao, Z.G.[Zhi-Gang],
He, J.H.[Jia-Hao],
Ju, H.C.[Hao-Chen],
Shen, M.L.[Meng-Ling],
Yu, Q.[Qiuyuan],
Liu, Z.J.[Zhao-Jun],
Underwater Hyperspectral Imaging System with Liquid Lenses,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Hao, J.Y.[Jun-Yu],
Yang, H.B.[Hong-Bo],
Hou, X.[Xia],
Zhang, Y.[Yang],
Two-Stage Underwater Image Restoration Algorithm Based on Physical
Model and Causal Intervention,
SPLetters(30), 2023, pp. 120-124.
IEEE DOI
2303
Degradation, Image restoration, Attenuation,
Generative adversarial networks, Generators, Correlation, Training,
causal intervention
BibRef
Li, M.Y.[Meng-Yao],
Shen, L.Q.[Li-Quan],
Lin, Y.F.[Yu-Fei],
Wang, K.[Kun],
Chen, J.[Jinbo],
Extreme Underwater Image Compression Using Physical Priors,
CirSysVideo(33), No. 4, April 2023, pp. 1937-1951.
IEEE DOI
2304
Image coding, Bit rate, Image reconstruction, Image color analysis,
Wavelet transforms, Feature extraction, Codecs,
conditional generator adversarial network (cGAN)
BibRef
Fang, Z.K.[Zheng-Kai],
Shen, L.Q.[Li-Quan],
Li, M.Y.[Meng-Yao],
Wang, Z.Y.[Zheng-Yong],
Jin, Y.L.[Yan-Liang],
Prior-Guided Contrastive Image Compression for Underwater Machine
Vision,
CirSysVideo(33), No. 6, June 2023, pp. 2950-2961.
IEEE DOI
2306
Image coding, Feature extraction, Machine vision, Task analysis,
Degradation, Image reconstruction, Image recognition,
contrastive learning
BibRef
Gao, S.[Shuaibo],
Wu, W.H.[Wen-Hui],
Li, H.[Hua],
Zhu, L.W.[Lin-Wei],
Wang, X.[Xu],
Atmospheric Scattering Model Induced Statistical Characteristics
Estimation for Underwater Image Restoration,
SPLetters(30), 2023, pp. 658-662.
IEEE DOI
2306
Image restoration, Image color analysis, Atmospheric modeling,
Estimation, Feature extraction, Convolutional neural networks,
convolutional neural network
BibRef
Du, L.[Libin],
Li, H.[Huming],
Wang, L.[Lei],
Lin, X.[Xu],
Lv, Z.C.[Zhi-Chao],
Research on High Robustness Underwater Target Estimation Method Based
on Variational Sparse Bayesian Inference,
RS(15), No. 13, 2023, pp. 3222.
DOI Link
2307
BibRef
Gonzalez-Sabbagh, S.P.[Salma P.],
Robles-Kelly, A.[Antonio],
A Survey on Underwater Computer Vision,
Surveys(55), No. 13s, July 2023, pp. xx-yy.
DOI Link
2309
Survey, Underwater Vision. underwater image restoration, Underwater computer vision,
underwater image formation models,
underwater image enhancement
BibRef
Zhuang, L.[Lihao],
Shen, L.Q.[Li-Quan],
Wang, Z.Y.[Zheng-Yong],
Li, Y.[Yinyi],
UCSNet: Priors Guided Adaptive Compressive Sensing Framework for
Underwater Images,
CirSysVideo(33), No. 10, October 2023, pp. 5587-5604.
IEEE DOI
2310
BibRef
Yan, S.Z.[Shuai-Zheng],
Chen, X.Y.[Xing-Yu],
Wu, Z.X.[Zheng-Xing],
Tan, M.[Min],
Yu, J.Z.[Jun-Zhi],
HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater
Image Restoration,
IP(32), 2023, pp. 5004-5016.
IEEE DOI
2310
BibRef
Lin, Z.[Zaifa],
Shangguan, M.J.[Ming-Jia],
Cao, F.Q.[Fu-Qing],
Yang, Z.F.[Zhi-Feng],
Qiu, Y.[Ying],
Weng, Z.[Zhenwu],
Underwater Single-Photon Lidar Equipped with High-Sampling-Rate
Multi-Channel Data Acquisition System,
RS(15), No. 21, 2023, pp. 5216.
DOI Link
2311
BibRef
Zhang, X.D.[Xu-Dong],
Cui, L.W.[Li-Wen],
Fan, Z.G.[Zhi-Guo],
Sun, R.[Rui],
Li, Y.[Yang],
Multi-cues underwater image restoration algorithm combined with light
field technology,
IET-IPR(17), No. 14, 2023, pp. 4116-4128.
DOI Link
2312
focusing, image restoration, light polarisation
BibRef
Gonzalez-Sabbagh, S.[Salma],
Robles-Kelly, A.[Antonio],
Gao, S.[Shang],
DGD-cGAN: A dual generator for image dewatering and restoration,
PR(148), 2024, pp. 110159.
Elsevier DOI
2402
Underwater image restoration, Generative adversarial network, Deep learning
BibRef
Hou, G.J.[Guo-Jia],
Li, N.[Nan],
Zhuang, P.X.[Pei-Xian],
Li, K.[Kunqian],
Sun, H.[Haihan],
Li, C.Y.[Chong-Yi],
Non-Uniform Illumination Underwater Image Restoration via
Illumination Channel Sparsity Prior,
CirSysVideo(34), No. 2, February 2024, pp. 799-814.
IEEE DOI Code:
WWW Link.
2402
Lighting, Image color analysis, Image restoration, Imaging,
Image quality, Estimation, Channel estimation, NUID
BibRef
Vlachos, M.[Marinos],
Skarlatos, D.[Dimitrios],
Self-Adaptive Colour Calibration of Deep Underwater Images Using FNN
and SfM-MVS-Generated Depth Maps,
RS(16), No. 7, 2024, pp. 1279.
DOI Link
2404
BibRef
Li, M.Y.[Meng-Yao],
Shen, L.Q.[Li-Quan],
Hua, X.[Xia],
Tian, Z.[Zhaoyi],
EUICN: An Efficient Underwater Image Compression Network,
CirSysVideo(34), No. 7, July 2024, pp. 6474-6488.
IEEE DOI
2407
Image coding, Imaging, Feature extraction, Correlation,
Quantization (signal), Entropy coding, Oceans, entropy model
BibRef
Kumar, K.P.[Kattela Pavan],
Rao, M.V.G.[Matcha Venu Gopala],
Venkatanarayana, M.[Moram],
A Novel Image Recovery from Moving Water Surface Using Multi-Objective
Bispectrum Method,
IJIG(24), No. 4, July 2024, pp. 2450038.
DOI Link
2408
BibRef
Li, J.R.[Jian-Ru],
Zhu, X.[Xu],
Zheng, Y.C.[Yu-Chao],
Lu, H.M.[Hui-Min],
Li, Y.J.[Yu-Jie],
Underwater image restoration based on light attenuation prior and
color-contrast adaptive correction,
IVC(150), 2024, pp. 105217.
Elsevier DOI
2409
Underwater image restoration, Attenuation ratio,
Adaptive color-contrast correction
BibRef
Zhu, J.C.[Jia-Cheng],
Wen, J.J.[Jun-Jie],
Hong, D.[Duanqin],
Lin, Z.P.[Zhan-Peng],
Hong, W.X.[Wen-Xing],
UIR-ES: An unsupervised underwater image restoration framework with
equivariance and stein unbiased risk estimator,
IVC(151), 2024, pp. 105285.
Elsevier DOI
2411
Underwater image restoration, Unsupervised learning,
Equivariance, Stein unbiased risk estimator
BibRef
Hao, Y.S.[Yan-Sheng],
Yuan, Y.Y.[Yao-Yao],
Zhang, H.[Hongman],
Zhang, Z.[Ze],
Underwater Optical Imaging: Methods, Applications and Perspectives,
RS(16), No. 20, 2024, pp. 3773.
DOI Link
2411
BibRef
González-Sabbagh, S.[Salma],
Robles-Kelly, A.[Antonio],
Gao, S.[Shang],
Scene-cGAN: A GAN for underwater restoration and scene depth
estimation,
CVIU(250), 2025, pp. 104225.
Elsevier DOI
2501
Generative adversarial network, Underwater image restoration,
Underwater scene depth estimation
BibRef
Yao, J.R.[Jin-Ren],
Elamassie, M.[Mohammed],
Korotkova, O.[Olga],
Spatial power spectrum of natural water turbulence with any average
temperature, salinity concentration, and light wavelength,
JOSA-A(37), No. 10, October 2020, pp. 1614-1621.
DOI Link
2503
Light propagation, Optical turbulence, Refractive index,
Salinity, Scintillation index, Signal transmission
BibRef
Ata, Y.[Yalcin],
Korotkova, O.[Olga],
Adaptive optics correction in natural turbulent waters,
JOSA-A(38), No. 4, April 2021, pp. 587-594.
DOI Link
2503
Adaptive optics, Laser communications, Oceanic turbulence,
Refractive index, Scintillation index, Spatial filtering
BibRef
Chen, Y.H.[Yong-Hao],
Liu, X.Y.[Xiao-Yun],
Jiang, J.Y.[Jin-Yang],
Gao, S.[Siyu],
Liu, Y.[Ying],
Jiang, Y.[Yueqiu],
Reconstruction of degraded image transmitting through ocean
turbulence via deep learning,
JOSA-A(40), No. 12, December 2023, pp. 2215-2222.
DOI Link
2503
Computational imaging, Deep learning, Laser beam propagation,
Laser imaging, Neural networks, Optical imaging
BibRef
Zhao, G.Q.[Guo-Qing],
Zhang, Y.X.[Yi-Xin],
Yan, Q.Z.[Qing-Ze],
Yu, L.[Lin],
Zhu, Y.[Yun],
Hu, L.[Lifa],
Information propagation of focus wave mode localized waves in
anisotropic turbulent seawater,
JOSA-A(41), No. 6, June 2024, pp. B106-B115.
DOI Link
2503
Bit error rate, Mode division multiplexing, Optical signals,
Optical systems, Optical transceivers, Wave propagation
BibRef
Ferlic, N.A.[Nathaniel A.],
Laux, A.E.[Alan E.],
Mullen, L.J.[Linda J.],
Optical phase and amplitude measurements of underwater turbulence via
self-heterodyne detection,
JOSA-A(41), No. 6, June 2024, pp. B95-B105.
DOI Link
2503
Heterodyne detection, Laser beams, Light propagation,
Optical turbulence, Phase noise, Phase shift
BibRef
Nair, A.[Anjali],
Li, Q.[Qin],
Stechmann, S.N.[Samuel N.],
Estimating the time-evolving refractivity of a turbulent medium using
optical beam measurements: a data assimilation approach,
JOSA-A(41), No. 6, June 2024, pp. B73-B84.
DOI Link
2503
Computer simulation, Free space optics, Inverse design,
Light beams, Optical signals, Refractive index
BibRef
Zhang, Y.[Yingluo],
Cheng, Q.[Qian],
Zhang, Y.[Yike],
Han, F.[Fei],
Image-restoration algorithm based on an underwater polarization
imaging visualization model,
JOSA-A(39), No. 5, May 2022, pp. 855-865.
DOI Link
2503
Imaging systems, Imaging techniques, Laser imaging,
Optical imaging, Polarimetric imaging, Underwater imaging
BibRef
Liao, Z.D.[Zi-Dong],
Lu, Z.[Zheng],
Li, J.[Jian],
Wang, Q.[Qin],
Robust 3D imaging based on regularization by denoising,
JOSA-A(39), No. 11, November 2022, pp. 2001-2008.
DOI Link
2503
Imaging techniques, Photon counting, Photon echoes,
Three dimensional imaging, Underwater imaging, Wavelet transforms
BibRef
Yang, J.[Junyi],
Cai, M.[Mudan],
Wang, C.[Chao],
Zheng, M.[Minhui],
Chen, S.[Sheng],
Underwater image illumination estimation via an evolving extreme
learning machine by an improved salp swarm algorithm,
JOSA-A(40), No. 3, March 2023, pp. 560-572.
DOI Link
2503
Chromatic aberration, Image metrics, Light sources,
Machine vision, Neural networks, Underwater imaging
BibRef
Lang, L.Y.[Li-Ying],
Zhang, J.H.[Jing-Han],
Feng, H.Y.[Hao-Yi],
Pang, Y.J.[Ya-Jun],
Research of the underwater polarization imaging process based on the
Oren-Nayar polarization bidirectional reflection distribution
function,
JOSA-A(41), No. 11, November 2024, pp. 2041-2053.
DOI Link
2503
Imaging systems, Imaging techniques, Laser imaging,
Polarimetric imaging, Systems design, Underwater imaging
BibRef
Quero, C.O.[Carlos Osorio],
Rondon, I.[Irving],
Martinez-Carranza, J.[Jose],
Improving NIR single-pixel imaging: using deep image prior and GANs,
JOSA-A(42), No. 2, February 2025, pp. 201-210.
DOI Link
2503
Ghost imaging, Neural networks, Single pixel imaging,
Spatial light modulators, Three dimensional imaging, Underwater imaging
BibRef
Nie, B.[Binyu],
Lu, W.J.[Wen-Jie],
Feng, Y.X.[Yun-Xuan],
Gao, H.W.[Hao-Wen],
Lin, K.Y.[Kai-Yang],
Removing multi-path echoes in underwater 3D reconstruction via
multi-view consistency,
PRL(189), 2025, pp. 48-55.
Elsevier DOI Code:
WWW Link.
2503
Multi-path effect, Underwater perception,
Multi-view consistency, Reconstruction
BibRef
Purnima, K.[Kuruma],
Kumar, C.S.[C. Siva],
Devising a comprehensive synthetic underwater image dataset,
JVCIR(107), 2025, pp. 104386.
Elsevier DOI
2503
Backscatter, Color cast, Contrast reduction, Focus metric,
Light attenuation, Underwater dataset
BibRef
Kapoor, M.[Meghna],
Satya, B.N.[Bhargava N.],
Subudhi, B.N.[Badri N.],
Jakhetiya, V.[Vinit],
Bansal, A.[Ankur],
Underwater surveillance using spatially curated perceptual loss and
graph refactored network,
PR(162), 2025, pp. 111388.
Elsevier DOI
2503
Underwater surveillance, Graph convolution network, Underwater image enhancement
BibRef
Guo, X.J.[Xiao-Jiao],
Chen, X.[Xuhang],
Wang, S.Q.[Shu-Qiang],
Pun, C.M.[Chi-Man],
Underwater Image Restoration Through a Prior Guided Hybrid Sense
Approach and Extensive Benchmark Analysis,
CirSysVideo(35), No. 5, May 2025, pp. 4784-4800.
IEEE DOI Code:
WWW Link.
2505
Image restoration, Image color analysis, Benchmark testing,
Deep learning, Green products, Distortion, Transformers,
multi-scales hybridization
BibRef
Li, Y.F.[Ya-Feng],
Chen, Y.[Yuehan],
Zhang, J.Q.[Ji-Qing],
Li, Y.D.[Yu-Dong],
Fu, X.P.[Xian-Ping],
An Underwater Image Restoration Method With Polarization Imaging
Optimization Model for Poor Visible Conditions,
CirSysVideo(35), No. 5, May 2025, pp. 3924-3939.
IEEE DOI Code:
WWW Link.
2505
Image restoration, Backscatter, Scattering, Image color analysis,
Optimization, Optical imaging, Image quality,
adaptive contrast enhancement
BibRef
Ruan, R.[Rui],
Zhang, W.D.[Wei-Dong],
Liang, Z.[Zheng],
Underwater image restoration using Joint Local-Global Polarization
Complementary Network,
IVC(159), 2025, pp. 105546.
Elsevier DOI
2505
Polarization imaging, Deep learning, Image recovery,
Generative adversarial networks
BibRef
Ma, Y.Z.[Yuan-Zheng],
Xia, F.[Fan],
Lin, L.W.[Li-Wei],
Guan, X.[Xun],
LEGO: LLM-enhanced genetic optimization for underwater robot image
restoration,
PR(168), 2025, pp. 111782.
Elsevier DOI
2506
Underwater robot, Image restoration, Large language model,
Robot vision, Genetic algorithm
BibRef
Nathan, O.B.[Opher Bar],
Levy, D.[Deborah],
Treibitz, T.[Tali],
Rosenbaum, D.[Dan],
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration,
ECCV24(LXII: 302-319).
Springer DOI
2412
BibRef
Sauder, J.[Jonathan],
Tuia, D.[Devis],
Self-supervised Underwater Caustics Removal and Descattering via Deep
Monocular SLAM,
ECCV24(LXXXIV: 214-232).
Springer DOI
2412
BibRef
Ikeda, T.[Takaki],
Iwaguchi, T.[Takafumi],
Thomas, D.[Diego],
Kawasaki, H.[Hiroshi],
A Practical Calibration Method for Cameras and Multiple Line-Lasers
in Light Sectioning Systems for Underwater Environments,
ICIP24(1602-1608)
IEEE DOI
2411
Laser theory, Solid modeling, Accuracy, Computational modeling,
Measurement by laser beam, Laser modes, Underwater 3D scan, ROV,
light-sectioning method
BibRef
Zhao, C.[Chen],
Cai, W.L.[Wei-Ling],
Dong, C.Y.[Chen-Yu],
Hu, C.W.[Cheng-Wei],
Wavelet-based Fourier Information Interaction with Frequency
Diffusion Adjustment for Underwater Image Restoration,
CVPR24(8281-8291)
IEEE DOI Code:
WWW Link.
2410
Degradation, Visualization, Wavelet domain, Codes,
Frequency-domain analysis, Diffusion models,
Fourier Information
BibRef
Zhang, F.[Fan],
You, S.[Shaodi],
Li, Y.[Yu],
Fu, Y.[Ying],
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion,
CVPR24(11852-11861)
IEEE DOI Code:
WWW Link.
2410
Training, Deep learning, Pipelines, Estimation, Lighting,
Diffusion models, underwater depth estimation
BibRef
Boittiaux, C.[Clémentin],
Marxer, R.[Ricard],
Dune, C.[Claire],
Arnaubec, A.[Aurélien],
Ferrera, M.[Maxime],
Hugel, V.[Vincent],
SUCRe: Leveraging Scene Structure for Underwater Color Restoration,
3DV24(1488-1497)
IEEE DOI
2408
Image resolution, Codes, Image color analysis, Scattering,
Distance measurement, Image restoration, Texturing
BibRef
Wang, Z.[Zhe],
Yu, H.Y.[Hai-Yang],
Peng, J.[Jin],
Underwater image recovery method considering target polarization
characteristics,
CVIDL23(123-127)
IEEE DOI
2403
Parameter estimation, Optical polarization, Image color analysis,
Filtering, Imaging, Manuals, Filtering algorithms, image enhancement
BibRef
Li, X.[Xiang],
Kou, Y.[Yejun],
Liang, Y.C.[Yan-Chun],
Binocular Matching Method for Detecting and Locating Marine Resources
Using Binocular Cameras and Deep Learning,
CVIDL23(381-384)
IEEE DOI
2403
Deep learning, Autonomous underwater vehicles, Target tracking,
Heuristic algorithms, Robot vision systems, Neural networks,
Underwater vision
BibRef
Peng, J.[Jin],
Yu, H.Y.[Hai-Yang],
Wang, Z.[Zhe],
Underwater Image Color Analysis and Indicators Based on Statistical
Characteristics,
CVIDL23(1-7)
IEEE DOI
2403
Water, Deep learning, Histograms,
Image color analysis, Statistical analysis, Attenuation,
qualitative and quantitative analysis
BibRef
Rensen, T.[Tim],
Green, R.[Richard],
Identifying Sources of Error in Underwater Photogrammetry via
Sensitivity Analysis,
IVCNZ23(1-6)
IEEE DOI
2403
Systematics, Sensitivity analysis, Measurement uncertainty,
Optical variables measurement, Cameras, sizing
BibRef
Li, M.Y.[Meng-Yao],
Shen, L.Q.[Li-Quan],
Ye, P.[Peng],
Feng, G.R.[Guo-Rui],
Wang, Z.[Zheyin],
RFD-ECNet: Extreme Underwater Image Compression with Reference to
Feature Dictionary,
ICCV23(12934-12943)
IEEE DOI
2401
BibRef
Huang, S.R.[Shi-Rui],
Wang, K.[Keyan],
Liu, H.[Huan],
Chen, J.[Jun],
Li, Y.S.[Yun-Song],
Contrastive Semi-Supervised Learning for Underwater Image Restoration
via Reliable Bank,
CVPR23(18145-18155)
IEEE DOI
2309
BibRef
Zhou, J.C.[Jing-Chun],
Liu, D.[Dingshuo],
Zhang, D.[Dehuan],
Zhang, W.S.[Wei-Shi],
Light Attenuation and Color Fluctuation for Underwater Image
Restoration,
ACCV22(III:374-389).
Springer DOI
2307
BibRef
Desai, C.[Chaitra],
Benur, S.[Sujay],
Tabib, R.A.[Ramesh Ashok],
Patil, U.[Ujwala],
Mudenagudi, U.[Uma],
DepthCue: Restoration of Underwater Images Using Monocular Depth as a
Clue,
Maritime23(196-205)
IEEE DOI
2302
Degradation, Deep learning, Training, Image color analysis,
Absorption, Neural networks, Scattering
BibRef
Zhao, W.F.[Wen-Feng],
Rong, S.H.[Sheng-Hui],
Ma, J.K.[Jian-Kang],
He, B.[Bo],
Nonuniform illumination correction for underwater images through a
pseudo-siamese network,
ICPR22(1329-1335)
IEEE DOI
2212
Training, Image quality, Imaging, Estimation, Artificial light,
Data models, Underwater image enhancement, CABM.
BibRef
Hodne, L.M.[Lars Martin],
Leikvoll, E.[Eirik],
Yip, M.[Mauhing],
Teigen, A.L.[Andreas Langeland],
Stahl, A.[Annette],
Mester, R.[Rudolf],
Detecting and Suppressing Marine Snow for Underwater Visual SLAM,
IMW22(5097-5105)
IEEE DOI
2210
Training, Visualization, Simultaneous localization and mapping,
Snow, Roads, Pipelines
BibRef
Ye, T.[Tian],
Chen, S.X.[Si-Xiang],
Liu, Y.[Yun],
Ye, Y.[Yi],
Chen, E.[Erkang],
Li, Y.[Yuche],
Underwater Light Field Retention:
Neural Rendering for Underwater Imaging,
NTIRE22(487-496)
IEEE DOI
2210
Measurement, Image synthesis, Neural networks,
Water quality, Rendering (computer graphics), Visual effects
BibRef
Desai, C.[Chaitra],
Reddy, B.S.S.[Badduri Sai Sudheer],
Tabib, R.A.[Ramesh Ashok],
Patil, U.[Ujwala],
Mudenagudi, U.[Uma],
AquaGAN: Restoration of Underwater Images,
PBVS22(295-303)
IEEE DOI
2210
Measurement, Training, Learning systems, Image color analysis,
Computational modeling, Benchmark testing, Attenuation
BibRef
Thapa, S.[Simron],
Li, N.Z.[Nian-Zyi],
Ye, J.[Jinwei],
Learning to Remove Refractive Distortions from Underwater Images,
ICCV21(4987-4996)
IEEE DOI
2203
Training, Image analysis, Fluctuations, Distortion,
Generative adversarial networks, Prediction algorithms,
Computational photography
BibRef
Menna, F.,
Nocerino, E.,
Chemisky, B.,
Remondino, F.,
Drap, P.,
Accurate Scaling and Levelling in Underwater Photogrammetry with A
Pressure Sensor,
ISPRS21(B2-2021: 667-672).
DOI Link
2201
BibRef
Nakath, D.[David],
She, M.[Mengkun],
Song, Y.F.[Yi-Fan],
Köser, K.[Kevin],
In-Situ Joint Light and Medium Estimation for Underwater Color
Restoration,
OceanVision21(3724-3733)
IEEE DOI
2112
Sea surface, Parameter estimation, Image color analysis,
Endoscopes, Estimation, Scattering, Ray tracing
BibRef
Desai, C.[Chaitra],
Tabib, R.A.[Ramesh Ashok],
Reddy, S.S.[Sai Sudheer],
Patil, U.[Ujwala],
Mudenagudi, U.[Uma],
RUIG: Realistic Underwater Image Generation Towards Restoration,
WiCV21(2181-2189)
IEEE DOI
2109
Image synthesis, Wavelength measurement,
Current measurement, Scattering, Attenuation
BibRef
Li, L.[Lei],
Komuro, T.[Takashi],
Enomoto, K.[Koichiro],
Toda, M.[Masashi],
Removal of Floating Particles from Underwater Images Using Image
Transformation Networks,
CVAUI20(414-421).
Springer DOI
2103
BibRef
Song, Y.F.[Yi-Fan],
Nakath, D.[David],
She, M.[Mengkun],
Elibol, F.[Furkan],
Köser, K.[Kevin],
Deep Sea Robotic Imaging Simulator,
CVAUI20(375-389).
Springer DOI
2103
BibRef
Song, Y.F.[Yi-Fan],
Sticklus, J.[Jan],
Nakath, D.[David],
Wenzlaff, E.[Emanuel],
Koch, R.[Reinhard],
Köser, K.[Kevin],
Optimization of Multi-led Setups for Underwater Robotic Vision Systems,
CVAUI20(390-397).
Springer DOI
2103
BibRef
Wang, J.T.[Jiang-Tao],
Li, B.H.[Bai-Hua],
Zhou, Y.[Yang],
Rocco, E.[Emanuele],
Meng, Q.G.[Qing-Gang],
Compact and Fast Underwater Segmentation Network for Autonomous
Underwater Vehicles,
ACCV20(III:688-703).
Springer DOI
2103
BibRef
She, M.,
Köser, K.,
Considering Spherical Refraction in Visual Ocean Gas Release
Quantification,
CVIDL20(64-69)
IEEE DOI
2102
bubbles, calibration, cameras, flow visualisation,
image matching, light refraction,
Underwater Camera Calibration
BibRef
Ishihara, S.,
Asano, Y.,
Zheng, Y.,
Sato, I.,
Underwater Scene Recovery Using Wavelength-Dependent Refraction of
Light,
3DV20(32-40)
IEEE DOI
2102
Surface reconstruction, Surface waves, Cameras,
Image reconstruction, Shape, refraction
BibRef
Calantropio, A.,
Chiabrando, F.,
Seymour, B.,
Kovacs, E.,
Lo, E.,
Rissolo, D.,
Image Pre-processing Strategies for Enhancing Photogrammetric 3d
Reconstruction of Underwater Shipwreck Datasets,
ISPRS20(B2:941-948).
DOI Link
2012
BibRef
Ballarin, M.,
Costa, E.,
Piemonte, A.,
Piras, M.,
Losč, L.T.[L. Teppati],
Underwater Photogrammetry: Potentialities and Problems Results of The
Benchmark Session of the 2019 Sifet Congress,
ISPRS20(B2:925-931).
DOI Link
2012
BibRef
Menna, F.,
Nocerino, E.,
Ural, S.,
Gruen, A.,
Mitigating Image Residuals Systematic Patterns In Underwater
Photogrammetry,
ISPRS20(B2:977-984).
DOI Link
2012
BibRef
Nocerino, E.,
Menna, F.,
Chemisky, B.,
Drap, P.,
3d Sequential Image Mosaicing for Underwater Navigation and Mapping,
ISPRS20(B2:991-998).
DOI Link
2012
BibRef
Rofallski, R.,
Tholen, C.,
Helmholz, P.,
Parnum, I.,
Luhmann, T.,
Measuring Artificial Reefs Using A Multi-camera System for Unmanned
Underwater Vehicles,
ISPRS20(B2:999-1008).
DOI Link
2012
BibRef
Taipalmaa, J.,
Passalis, N.,
Raitoharju, J.,
Different Color Spaces In Deep Learning-Based Water Segmentation For
Autonomous Marine Operations,
ICIP20(3169-3173)
IEEE DOI
2011
Image color analysis, Training, Image segmentation, Cameras,
Robustness, Testing, Unmanned aerial vehicles, Water Segmentation,
Autonomous Navigation
BibRef
Liu, Y.,
Rong, S.,
Cao, X.,
Li, T.,
He, B.,
Underwater Image Dehazing Using The Color Space Dimensionality
Reduction Prior,
ICIP20(1013-1017)
IEEE DOI
2011
Image color analysis, Estimation, Dimensionality reduction,
Image restoration, Indexes, Optical imaging, Adaptive optics,
transmission estimation
BibRef
James, J.G.,
Rajwade, A.,
Fourier Based Pre-Processing For Seeing Through Water,
WACV20(109-117)
IEEE DOI
2006
Optical surface waves, Surface waves, Distortion, Tracking, Cameras,
Trajectory, Strain
BibRef
James, J.G.,
Agrawal, P.,
Rajwade, A.,
Restoration of Non-Rigidly Distorted Underwater Images Using a
Combination of Compressive Sensing and Local Polynomial Image
Representations,
ICCV19(7838-7847)
IEEE DOI
2004
compressed sensing, discrete Fourier transforms,
feature extraction, image representation, image restoration, Optical imaging
BibRef
Ueda, T.,
Yamada, K.,
Tanaka, Y.,
Underwater Image Synthesis from RGB-D Images and its Application to
Deep Underwater Image Restoration,
ICIP19(2115-2119)
IEEE DOI
1910
Underwater image restoration, deep neural network, underwater image synthesis
BibRef
Ichimaru, K.,
Kawasaki, H.,
Underwater Stereo Using Refraction-Free Image Synthesized From Light
Field Camera,
ICIP19(1039-1043)
IEEE DOI
1910
Stereo vision, Refraction, Light field, Underwater shape reconstruction
BibRef
Yu, X.L.[Xiao-Li],
Qu, Y.Y.[Yan-Yun],
Hong, M.[Ming],
Underwater-GAN: Underwater Image Restoration via Conditional Generative
Adversarial Network,
CVAUI18(66-75).
Springer DOI
1901
BibRef
Cao, K.,
Peng, Y.,
Cosman, P.C.,
Underwater Image Restoration using Deep Networks to Estimate
Background Light and Scene Depth,
Southwest18(1-4)
IEEE DOI
1809
Image restoration, Estimation, Training, Network architecture,
Image color analysis, Cameras, Attenuation, Underwater images,
convolutional neural networks
BibRef
Varghese, V.,
Bryson, M.,
Pizarro, O.,
Williams, S.B.,
Dansereau, D.G.,
Light Field Image Restoration for Vision in Scattering Media,
ICIP18(1093-1097)
IEEE DOI
1809
Image restoration, Backscatter, Scattering, Image color analysis,
Media, Imaging, Pipelines, Image restoration, image enhancement,
underwater imaging
BibRef
Li, C.Y.,
Cavallaro, A.,
Background Light Estimation for Depth-Dependent Underwater Image
Restoration,
ICIP18(1528-1532)
IEEE DOI
1809
Image color analysis, Image restoration, Attenuation, Cameras,
Channel estimation, Estimation, Scattering, Spectral distortion,
colour correction
BibRef
Gautam, S.,
Gandhi, T.K.,
Panigrahi, B.K.,
An Advanced Visibility Restoration Technique for Underwater Images,
ICIP18(1757-1761)
IEEE DOI
1809
Image restoration, Image color analysis, Atmospheric modeling,
Estimation, Channel estimation, Scattering, Imaging,
visibility enhancement
BibRef
Chadebecq, F.[François],
Vasconcelos, F.[Francisco],
Dwyer, G.[George],
Lacher, R.[Reé],
Ourselin, S.[Sébastien],
Vercauteren, T.[Tom],
Stoyanov, D.[Danail],
Refractive Structure-from-Motion Through a Flat Refractive Interface,
ICCV17(5325-5333)
IEEE DOI
1802
Underwater images.
cameras, geometry, geophysical image processing,
image motion analysis, image sensors, light propagation,
BibRef
Palmér, T.[Tobias],
Ĺström, K.[Kalle],
Frahm, J.M.[Jan-Michael],
The Misty Three Point Algorithm for Relative Pose,
CVPR17(4551-4559)
IEEE DOI
1711
Applied to underwater images.
Attenuation, Cameras, Estimation, Geometry, Image color analysis,
Mathematical, model
BibRef
Skinner, K.A.,
Johnson-Roberson, M.,
Underwater Image Dehazing with a Light Field Camera,
LightField17(1775-1782)
IEEE DOI
1709
Atmospheric modeling, Attenuation, Backscatter, Cameras, Lighting,
Storage, tanks
BibRef
Ponce-Hinestroza, A.N.,
Torres-Méndez, L.A.,
Drews, P.,
Using a MRF-BP model with color adaptive training for underwater
color restoration,
ICPR16(787-792)
IEEE DOI
1705
Adaptation models, Image color analysis, Image restoration,
Markov random fields, Robots, Training, Video, sequences
BibRef
Digumarti, S.T.,
Chaurasia, G.,
Taneja, A.,
Siegwart, R.,
Thomas, A.,
Beardsley, P.,
Underwater 3D capture using a low-cost commercial depth camera,
WACV16(1-9)
IEEE DOI
1511
Atmospheric modeling
BibRef
Emberton, S.[Simon],
Chittka, L.[Lars],
Cavallaro, A.[Andrea],
Hierarchical rank-based veiling light estimation for underwater
dehazing,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Maas, H.G.[Hans-Gerd],
A Modular Geometric Model for Underwater Photogrammetry,
Underwater15(139-141).
DOI Link
1508
BibRef
Mulsow, C.[Christian],
Maas, H.G.[Hans-Gerd],
A Universal Approach for Geometric Modelling in Underwater Stereo
Image Processing,
CVAUI14(49-56)
IEEE DOI
1402
Cameras
BibRef
Stephan, T.[Thomas],
Beyerer, J.[Jurgen],
Computergraphical Model for Underwater Image Simulation and
Restoration,
CVAUI14(73-79)
IEEE DOI
1402
Computational modeling
BibRef
Drap, P.,
Merad, D.,
Mahiddine, A.,
Seinturier, J.,
Gerenton, P.,
Peloso, D.,
Boď, P.M.,
Bianchimani, O.,
Garrabou, J.,
Automating the Measurement of Red Coral in Situ Using Underwater
Photogrammetry and Coded Targets,
CIPA13(231-236).
DOI Link
1311
BibRef
Schechner, Y.Y.,
Diner, D.J.,
Martonchik, J.V.,
Spaceborne underwater imaging,
ICCP11(1-8).
IEEE DOI
1208
BibRef
Barngrover, C.[Christopher],
Belongie, S.J.[Serge J.],
Kastner, R.[Ryan],
JBoost Optimization of Color Detectors for Autonomous Underwater
Vehicle Navigation,
CAIP11(II: 155-162).
Springer DOI
1109
BibRef
Ĺhlén, J.,
Sundgren, D.,
Lindell, T.,
Bengtsson, E.,
Dissolved Organic Matters Impact on Colour Reconstruction in Underwater
Images,
SCIA05(1148-1156).
Springer DOI
0506
BibRef
Stewart, W.K.,
Remote-sensing issues for intelligent underwater systems,
CVPR91(230-235).
IEEE DOI
0403
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Image Enhancement for Underwater Images .