4.11.2.9 Underwater Imaging, Restoration

Chapter Contents (Back)
Underwater.
See also Image Enhancement for Underwater Images.
See also Underwater Images, Color Correction.
See also Bathymetric Mapping, Analysis, Underwater Terrain.
See also Underwater Object Detection.
See also Refraction, Refractive Geometry.
See also Refractive, Water, Underwater Camera Calibration. Navigation:
See also Underwater Autonomous Vehicles, Marine Surface Vehicles.

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


Khan, M.R.[Md Raqib], Negi, A.[Anshul], Kulkarni, A.[Ashutosh], Phutke, S.S.[Shruti S.], Vipparthi, S.K.[Santosh Kumar], Murala, S.[Subrahmanyam],
Phaseformer: Phase-Based Attention Mechanism for Underwater Image Restoration and Beyond,
WACV25(9618-9629)
IEEE DOI 2505
Degradation, Training, Attention mechanisms, Object detection, Feature extraction, Transformers, Image restoration, SQUIDs, Underwater Image Restoration 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 .


Last update:Jul 7, 2025 at 14:35:55