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
Zotta, L.,
Matteoli, S.,
Diani, M.,
Corsini, G.,
AFRODiTE: A FluoRescence Lidar Simulator for Underwater Object
DeTEction Applications,
GeoRS(53), No. 6, June 2015, pp. 3022-3041.
IEEE DOI
1503
oceanographic regions
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
Chiang, J.Y.[John Y.],
Chen, Y.C.[Ying-Ching],
Underwater Image Enhancement by Wavelength Compensation and Dehazing,
IP(21), No. 4, April 2012, pp. 1756-1769.
IEEE DOI
1204
BibRef
Chiang, J.Y.[John Y.],
Chen, Y.C.[Ying-Ching],
Chen, Y.F.[Yung-Fu],
Underwater Image Enhancement:
Using Wavelength Compensation and Image Dehazing (WCID),
ACIVS11(372-383).
Springer DOI
1108
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
Lu, H.M.[Hui-Min],
Li, Y.J.[Yu-Jie],
Zhang, L.F.[Li-Feng],
Serikawa, S.[Seiichi],
Contrast enhancement for images in turbid water,
JOSA-A(32), No. 5, May 2015, pp. 886-893.
DOI Link
1505
BibRef
Earlier: A1, A2, A4, Only:
Underwater image enhancement using guided trigonometric bilateral
filter and fast automatic color correction,
ICIP13(3412-3416)
IEEE DOI
1402
Image enhancement; Imaging through turbid media.
Underwater imaging; bilateral filter; color correction; image enhancement
BibRef
Lu, H.M.[Hui-Min],
Li, Y.J.[Yu-Jie],
Xu, X.[Xing],
Li, J.R.[Jian-Ru],
Liu, Z.F.[Zhi-Fei],
Li, X.[Xin],
Yang, J.M.[Jian-Min],
Serikawa, S.[Seiichi],
Underwater image enhancement method using weighted guided
trigonometric filtering and artificial light correction,
JVCIR(38), No. 1, 2016, pp. 504-516.
Elsevier DOI
1605
Deep-sea imaging
BibRef
Li, C.Y.,
Guo, J.C.,
Cong, R.M.,
Pang, Y.W.,
Wang, B.,
Underwater Image Enhancement by Dehazing With Minimum Information
Loss and Histogram Distribution Prior,
IP(25), No. 12, December 2016, pp. 5664-5677.
IEEE DOI
1612
geophysical image processing
BibRef
Liu, X.P.[Xiao-Peng],
Zhong, G.[Guoqiang],
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
Park, D.[Dubok],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Enhancing Underwater Color Images via Optical Imaging Model and
Non-Local Means Denoising,
IEICE(E100-D), No. 7, July 2017, pp. 1475-1483.
WWW Link.
1708
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
Ancuti, C.O.[Codruta O.],
Ancuti, C.[Cosmin],
de Vleeschouwer, C.[Christophe],
Bekaert, P.[Philippe],
Color Balance and Fusion for Underwater Image Enhancement,
IP(27), No. 1, January 2018, pp. 379-393.
IEEE DOI
1712
cameras, image colour analysis, image denoising, image enhancement,
image fusion, image restoration, image segmentation,
white-balancing
See also Single Image Dehazing by Multi-Scale Fusion.
See also Single-Scale Fusion: An Effective Approach to Merging Images.
BibRef
Ancuti, C.[Cosmin],
Ancuti, C.O.[Codruta Orniana],
Haber, T.[Tom],
Bekaert, P.[Philippe],
Enhancing underwater images and videos by fusion,
CVPR12(81-88).
IEEE DOI
1208
BibRef
Earlier: A2, A1, A3, A4:
Fusion-based restoration of the underwater images,
ICIP11(1557-1560).
IEEE DOI
1201
BibRef
Ancuti, C.O.[Codruta O.],
Ancuti, C.[Cosmin],
de Vleeschouwer, C.,
Garcia, R.,
Bovik, A.C.,
Multi-scale underwater descattering,
ICPR16(4202-4207)
IEEE DOI
1705
Estimation, Image color analysis, Image restoration, Lighting,
Mathematical model, Optical imaging, Optical, scattering
BibRef
Ancuti, C.O.[Codruta O.],
Ancuti, C.[Cosmin],
de Vleeschouwer, C.,
Garcia, R.,
Locally Adaptive Color Correction for Underwater Image Dehazing and
Matching,
NTIRE17(997-1005)
IEEE DOI
1709
Attenuation, Channel estimation, Computer vision,
Image color analysis, Image restoration, Light sources, Lighting
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
Hou, G.J.[Guo-Jia],
Pan, Z.K.[Zhen-Kuan],
Huang, B.X.[Bao-Xiang],
Wang, G.D.[Guo-Dong],
Luan, X.[Xin],
Hue preserving-based approach for underwater colour image enhancement,
IET-IPR(12), No. 2, February 2018, pp. 292-298.
DOI Link
1801
BibRef
Li, C.,
Guo, J.,
Guo, C.,
Emerging From Water: Underwater Image Color Correction Based on
Weakly Supervised Color Transfer,
SPLetters(25), No. 3, March 2018, pp. 323-327.
IEEE DOI
1802
Atmospheric modeling, Image color analysis, Loss measurement,
Scattering, Training, Visualization, Color casts,
underwater image
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
Nomura, K.,
Sugimura, D.,
Hamamoto, T.,
Underwater Image Color Correction using Exposure-Bracketing Imaging,
SPLetters(25), No. 6, June 2018, pp. 893-897.
IEEE DOI
1806
BibRef
Earlier:
Color correction of underwater images based on multi-illuminant
estimation with exposure bracketing imaging,
ICIP17(705-709)
IEEE DOI
1803
geophysical image processing, image colour analysis,
image fusion, oceanographic techniques, regression analysis,
underwater image.
Attenuation, Distortion, Estimation,
Imaging, Optical distortion, Color correction,
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],
Bruno, F.[Fabio],
Cozza, M.[Marco],
Agrafiotis, P.[Panagiotis],
Skarlatos, D.[Dimitrios],
Guidelines for Underwater Image Enhancement Based on Benchmarking of
Different Methods,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
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
Sun, X.[Xin],
Liu, L.[Lipeng],
Li, Q.[Qiong],
Dong, J.Y.[Jun-Yu],
Lima, E.[Estanislau],
Yin, R.Y.[Rui-Ying],
Deep pixel-to-pixel network for underwater image enhancement and
restoration,
IET-IPR(13), No. 3, February 2019, pp. 469-474.
DOI Link
1903
BibRef
Tang, C.[Chong],
von Lukas, U.F.[Uwe Freiherr],
Vahl, M.[Matthias],
Wang, S.[Shuo],
Wang, Y.[Yu],
Tan, M.[Min],
Efficient underwater image and video enhancement based on Retinex,
SIViP(13), No. 5, July 2019, pp. 1011-1018.
Springer DOI
1906
BibRef
Sánchez-Ferreira, C.,
Coelho, L.S.,
Ayala, H.V.H.,
Farias, M.C.Q.,
Llanos, C.H.,
Bio-inspired optimization algorithms for real underwater image
restoration,
SP:IC(77), 2019, pp. 49-65.
Elsevier DOI
1906
Underwater image processing, Bio-inspired optimization,
Image quality assessment, Image formation models
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.[Keyan],
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
Gao, S.,
Zhang, M.,
Zhao, Q.,
Zhang, X.,
Li, Y.,
Underwater Image Enhancement Using Adaptive Retinal Mechanisms,
IP(28), No. 11, November 2019, pp. 5580-5595.
IEEE DOI
1909
Image color analysis, Retina, Radio frequency, Ganglia,
Photoreceptors, Adaptation models, Image edge detection,
color correction
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
Li, C.Y.[Chong-Yi],
Anwar, S.[Saeed],
Porikli, F.M.[Fatih M.],
Underwater scene prior inspired deep underwater image and video
enhancement,
PR(98), 2020, pp. 107038.
Elsevier DOI
1911
Underwater image and video enhancement and restoration,
Underwater image synthesis, Pattern recognition, Deep learning
BibRef
Anwar, S.[Saeed],
Li, C.Y.[Chong-Yi],
Diving deeper into underwater image enhancement: A survey,
SP:IC(89), 2020, pp. 115978.
Elsevier DOI
2010
Survey, Underwater Images. Underwater image enhancement, Deep learning,
Convolutional neural networks (CNNs), Survey
BibRef
Purohit, K.[Kuldeep],
Mandal, S.[Srimanta],
Rajagopalan, A.N.,
Multilevel weighted enhancement for underwater image dehazing,
JOSA-A(36), No. 6, June 2019, pp. 1098-1108.
DOI Link
1912
Attenuation coefficient, Forward scattering, Image processing,
Image quality, Light transmission, Underwater imaging
BibRef
Yang, M.[Miao],
Hu, K.[Ke],
Du, Y.X.[Yi-Xiang],
Wei, Z.Q.[Zhi-Qiang],
Sheng, Z.B.[Zhi-Bin],
Hu, J.T.[Jin-Tong],
Underwater Image Enhancement Based on Conditional Generative
Adversarial Network,
SP:IC(81), 2020, pp. 115723.
Elsevier DOI
1912
Underwater image enhancement,
Conditional generative adversarial networks, Deep learning
BibRef
Li, C.,
Guo, C.,
Ren, W.,
Cong, R.,
Hou, J.,
Kwong, S.,
Tao, D.,
An Underwater Image Enhancement Benchmark Dataset and Beyond,
IP(29), 2020, pp. 4376-4389.
IEEE DOI
2002
Image enhancement, Image color analysis, Benchmark testing,
Image restoration, Training, deep learning
BibRef
Hou, G.[Guojia],
Li, J.[Jingming],
Wang, G.D.[Guo-Dong],
Yang, H.[Huan],
Huang, B.[Baoxiang],
Pan, Z.[Zhenkuan],
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
Fu, X.Y.[Xue-Yang],
Cao, X.Y.[Xiang-Yong],
Underwater image enhancement with global-local networks and
compressed-histogram equalization,
SP:IC(86), 2020, pp. 115892.
Elsevier DOI
2006
Underwater image, Deep learning, Image enhancement, CNNs
BibRef
Kannan, S.[Srividhya],
Intelligent object recognition in underwater images using
evolutionary-based Gaussian mixture model and shape matching,
SIViP(14), No. 5, July 2020, pp. 877-885.
Springer DOI
2006
BibRef
Jiang, Q.[Qin],
Chen, Y.[Yang],
Wang, G.[Guoyu],
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
Szymak, P.[Piotr],
Piskur, P.[Pawel],
Naus, K.[Krzysztof],
The Effectiveness of Using a Pretrained Deep Learning Neural Networks
for Object Classification in Underwater Video,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Ye, X.,
Li, Z.,
Sun, B.,
Wang, Z.,
Xu, R.,
Li, H.,
Fan, X.,
Deep Joint Depth Estimation and Color Correction From Monocular
Underwater Images Based on Unsupervised Adaptation Networks,
CirSysVideo(30), No. 11, November 2020, pp. 3995-4008.
IEEE DOI
2011
Image color analysis, Estimation, Task analysis, Color,
Visualization, Robots, Atmospheric modeling, Underwater image,
domain adapatation
BibRef
Zhang, W.D.[Wei-Dong],
Dong, L.L.[Li-Li],
Zhang, T.[Tong],
Xu, W.H.[Wen-Hai],
Enhancing underwater image via color correction and Bi-interval
contrast enhancement,
SP:IC(90), 2021, pp. 116030.
Elsevier DOI
2012
Underwater image enhancement, Color correctio,
Contrast enhancement, Enhancing details
BibRef
Liu, R.,
Fan, X.,
Zhu, M.,
Hou, M.,
Luo, Z.,
Real-World Underwater Enhancement: Challenges, Benchmarks, and
Solutions Under Natural Light,
CirSysVideo(30), No. 12, December 2020, pp. 4861-4875.
IEEE DOI
2012
Image color analysis, Image enhancement, Task analysis, Histograms,
Benchmark testing, Imaging, Degradation,
object detection
BibRef
Deng, J.J.[Jun-Jie],
Luo, G.[Gege],
Zhao, C.D.[Cai-Dan],
UCT-GAN: underwater image colour transfer generative adversarial
network,
IET-IPR(14), No. 14, December 2020, pp. 3613-3622.
DOI Link
2012
BibRef
Liu, J.,
Zhang, X.,
Parameter-Adaptive Compensation (PAC) for Processing Underwater
Selective Absorption,
SPLetters(27), 2020, pp. 2178-2182.
IEEE DOI
2012
Image color analysis,
Picture archiving and communication systems, Attenuation,
underwater image enhancement
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
Huang, Y.F.[Yi-Fan],
Liu, M.Y.[Man-Yu],
Yuan, F.[Fei],
Color correction and restoration based on multi-scale recursive
network for underwater optical image,
SP:IC(93), 2021, pp. 116174.
Elsevier DOI
2103
Underwater image, Style transfer, Color correction,
Image enhancement, Convolutional neural network
BibRef
Li, Y.[Yang],
Chen, R.[Rong],
SE-RWNN: an synergistic evolution and randomly wired neural
network-based model for adaptive underwater image enhancement,
IET-IPR(14), No. 16, 19 December 2020, pp. 4349-4358.
DOI Link
2103
BibRef
Yang, N.[Ning],
Zhong, Q.H.[Qi-Hang],
Li, K.[Kun],
Cong, R.M.[Run-Min],
Zhao, Y.[Yao],
Kwong, S.[Sam],
A reference-free underwater image quality assessment metric in
frequency domain,
SP:IC(94), 2021, pp. 116218.
Elsevier DOI
2104
Underwater image, Reference-free image quality assessment,
Frequency domain, Dark channel prior weighting, New dataset
BibRef
Xue, X.W.[Xin-Wei],
Hao, Z.H.[Zhen-Hua],
Ma, L.[Long],
Wang, Y.[Yi],
Liu, R.S.[Ri-Sheng],
Joint Luminance and Chrominance Learning for Underwater Image
Enhancement,
SPLetters(28), 2021, pp. 818-822.
IEEE DOI
2105
BibRef
Hou, M.J.[Min-Jun],
Liu, R.S.[Ri-Sheng],
Fan, X.[Xin],
Luo, Z.X.[Zhong-Xuan],
Joint Residual Learning for Underwater Image Enhancement,
ICIP18(4043-4047)
IEEE DOI
1809
Image color analysis, Training, Image quality, Attenuation,
Convolution, Image enhancement, Task analysis,
illumination balance
BibRef
Li, C.Y.[Chong-Yi],
Anwar, S.[Saeed],
Hou, J.H.[Jun-Hui],
Cong, R.M.[Run-Min],
Guo, C.[Chunle],
Ren, W.Q.[Wen-Qi],
Underwater Image Enhancement via Medium Transmission-Guided
Multi-Color Space Embedding,
IP(30), 2021, pp. 4985-5000.
IEEE DOI
2106
Image color analysis, Image enhancement, Imaging, Visualization,
Decoding, Feature extraction, Scattering, Underwater imaging,
scattering removal
BibRef
Yang, X.[Xi],
Li, H.[Hui],
Chen, R.[Rong],
Underwater image enhancement with image colorfulness measure,
SP:IC(95), 2021, pp. 116225.
Elsevier DOI
2106
Deep learning, Underwater enhancement
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
Li, H.Y.[Han-Yu],
Zhuang, P.X.[Pei-Xian],
DewaterNet: A fusion adversarial real underwater image enhancement
network,
SP:IC(95), 2021, pp. 116248.
Elsevier DOI
2106
Real underwater image enhancement,
Generative adversarial network, Benchmark dataset, Deep learning
BibRef
Wang, Y.D.[Yu-Dong],
Guo, J.C.[Ji-Chang],
Gao, H.[Huan],
Yue, H.[Huihui],
UIEC^2-Net: CNN-based underwater image enhancement using two color
space,
SP:IC(96), 2021, pp. 116250.
Elsevier DOI
2106
Underwater image enhancement, HSV color space, Deep learning
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
Li, Y.[Yang],
Chen, R.[Rong],
UDA-Net: Densely attention network for underwater image enhancement,
IET-IPR(15), No. 3, 2021, pp. 774-785.
DOI Link
2106
BibRef
Zhang, H.Q.[Hui-Qing],
Sun, L.[Luyu],
Wu, L.F.[Li-Fang],
Gu, K.[Ke],
DuGAN: An effective framework for underwater image enhancement,
IET-IPR(15), No. 9, 2021, pp. 2010-2019.
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
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Image color analysis, Cameras, Mathematical model,
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ICIP20(1971-1975)
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Training, Detectors, Feature extraction, Task analysis,
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Image color analysis, Estimation, Dimensionality reduction,
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compressed sensing, discrete Fourier transforms,
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WACV19(1433-1439)
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affine transforms, covariance analysis, image colour analysis,
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IEEE DOI
1809
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1809
Image restoration, Backscatter, Scattering, Image color analysis,
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1809
Image color analysis, Image restoration, Attenuation, Cameras,
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1809
Image restoration, Image color analysis, Atmospheric modeling,
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Barbosa, W.V.,
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1809
Image restoration, Measurement, Training, Visualization,
Image quality, Cameras, Media, Underwater Vision, Image Restoration,
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Zhang, W.,
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VCIP17(1-4)
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1804
image colour analysis, image enhancement, color cast,
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Attenuation, Colored noise, Estimation, Image color analysis,
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1803
Absorption, Colored noise, Estimation, Image color analysis,
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Attenuation, Distortion, Feature extraction, Image color analysis,
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Correlation, Covariance matrices, Discrete cosine transforms,
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LightField17(1775-1782)
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Adaptation models, Image color analysis, Image restoration,
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Color Sensors, Sensor Models .