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.[Chongyi],
Guo, J.[Jichang],
Guo, C.[Chunle],
Cong, R.[Runmin],
Gong, J.[Jiachang],
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
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
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.[Chongyi],
Anwar, S.[Saeed],
Porikli, F.[Fatih],
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
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
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
Neyer, F.,
Nocerino, E.,
Gruen, A.,
Image Quality Improvements in Low-cost Underwater Photogrammetry,
Underwater19(135-142).
DOI Link
1904
BibRef
Protasiuk, R.,
Bibi, A.,
Ghanem, B.,
Local Color Mapping Combined with Color Transfer for Underwater Image
Enhancement,
WACV19(1433-1439)
IEEE DOI
1904
affine transforms, covariance analysis, image colour analysis,
image enhancement, local color mapping, affine transform model,
Lighting
BibRef
Marques, T.P.[Tunai Porto],
Albu, A.B.[Alexandra Branzan],
Hoeberechts, M.[Maia],
Enhancement of Low-Lighting Underwater Images Using Dark Channel Prior
and Fast Guided Filters,
CVAUI18(55-65).
Springer DOI
1901
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
Li, C.Y.[Chau Yi],
Mazzon, R.[Riccardo],
Cavallaro, A.[Andrea],
An Online Platform for Underwater Image Quality Evaluation,
CVAUI18(37-44).
Springer DOI
1901
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
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
Barbosa, W.V.,
Amaral, H.G.B.,
Rocha, T.L.,
Nascimento, E.R.,
Visual-Quality-Driven Learning for Underwater Vision Enhancement,
ICIP18(3933-3937)
IEEE DOI
1809
Image restoration, Measurement, Training, Visualization,
Image quality, Cameras, Media, Underwater Vision, Image Restoration,
Deep Learning
BibRef
Hou, M.,
Liu, R.,
Fan, X.,
Luo, Z.,
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
Zhang, W.,
Li, G.,
Ying, Z.,
A new underwater image enhancing method via color correction and
illumination adjustment,
VCIP17(1-4)
IEEE DOI
1804
image colour analysis, image enhancement, color cast,
color correction, color enhancement method, gamma correction,
visual performance
BibRef
Ancuti, C.O.,
Ancuti, C.,
de Vleeschouwer, C.,
Neumann, L.,
Garcia, R.,
Color transfer for underwater dehazing and depth estimation,
ICIP17(695-699)
IEEE DOI
1803
Attenuation, Colored noise, Estimation, Image color analysis,
Image edge detection, Image restoration, Imaging, color constancy,
underwater visibility enhancement
BibRef
Yang, J.,
Wang, X.,
Yue, H.,
Fu, X.,
Hou, C.,
Underwater image enhancement based on structure-texture decomposition,
ICIP17(1207-1211)
IEEE DOI
1803
Absorption, Colored noise, Estimation, Image color analysis,
Image enhancement, Image restoration, Reliability,
structure-texture decomposition
BibRef
Wang, Y.,
Zhang, J.[Jing],
Cao, Y.[Yang],
Wang, Z.F.[Zeng-Fu],
A deep CNN method for underwater image enhancement,
ICIP17(1382-1386)
IEEE DOI
1803
Attenuation, Distortion, Feature extraction, Image color analysis,
Image enhancement, Imaging, Training, color correction, deep CNN,
underwater image enhancement
BibRef
Baba, T.,
Nakamura, K.,
Kyochi, S.,
Okuda, M.,
Image enhancement method for underwater images based on discrete
cosine eigenbasis transformation,
ICIP17(4272-4276)
IEEE DOI
1803
Correlation, Covariance matrices, Discrete cosine transforms,
Eigenvalues and eigenfunctions, Image color analysis,
Underwater images
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],
Åström, 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
Fu, X.Y.[Xue-Yang],
Zhuang, P.X.[Pei-Xian],
Huang, Y.[Yue],
Liao, Y.H.[Ying-Hao],
Zhang, X.P.[Xiao-Ping],
Ding, X.H.[Xing-Hao],
A retinex-based enhancing approach for single underwater image,
ICIP14(4572-4576)
IEEE DOI
1502
Green products
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
Drap, P.,
Merad, D.,
Mahiddine, A.,
Seinturier, J.,
Gerenton, P.,
Peloso, D.,
Boï, P.M.,
Bianchimani, O.,
Garrabou, J.,
Automating the Measurement of Red Coral in Situ Using Underwater
Photogrammetry and Coded Targets,
CIPA13(231-236).
HTML Version.
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
Åhlén, J.,
Sundgren, D.,
Lindell, T.,
Bengtsson, E.,
Dissolved Organic Matters Impact on Colour Reconstruction in Underwater
Images,
SCIA05(1148-1156).
Springer DOI
0506
BibRef
Torres-Méndez, L.A.[Luz A.],
Dudek, G.[Gregory],
Color Correction of Underwater Images for Aquatic Robot Inspection,
EMMCVPR05(60-73).
Springer DOI
0601
BibRef
Åhlen, J.[Julia],
Sundgren, D.[David],
Bottom Reflectance Influence on a Color Correction Algorithm for
Underwater Images,
SCIA03(922-926).
Springer DOI
0310
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
Color Sensors, Sensor Models .