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
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
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
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,
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
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
Sun, X.[Xin],
Liu, L.P.[Li-Peng],
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
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, 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
Mandal, S.,
Rajagopalan, A.N.,
Local Proximity for Enhanced Visibility in Haze,
IP(29), 2020, pp. 2478-2491.
IEEE DOI
2001
Dehazing, contrast enhancement, patch similarity, underwater
BibRef
Zhuang, P.X.[Pei-Xian],
Wu, J.[Jiamin],
Porikli, F.M.[Fatih M.],
Li, C.Y.[Chong-Yi],
Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors,
IP(31), 2022, pp. 5442-5455.
IEEE DOI
2208
Image color analysis, Lighting, Image enhancement,
Laplace equations, Scattering, Optimization, Estimation,
alternative optimization
BibRef
Zhuang, P.X.[Pei-Xian],
Retinex Underwater Image Enhancement With Multiorder Gradient Priors,
ICIP21(1709-1713)
IEEE DOI
2201
Reflectivity, Image color analysis,
Piecewise linear approximation, Noise reduction, Lighting, Imaging,
alternative optimization
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
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
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
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
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
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
Zhu, D.[Daqi],
Liu, Z.Q.[Zhi-Qiang],
Zhang, Y.M.[You-Min],
Underwater image enhancement based on colour correction and fusion,
IET-IPR(15), No. 11, 2021, pp. 2591-2603.
DOI Link
2108
BibRef
Yuan, J.Y.[Jie-Yu],
Cao, W.[Wei],
Cai, Z.C.[Zhan-Chuan],
Su, B.H.[Bing-Hua],
An Underwater Image Vision Enhancement Algorithm Based on Contour
Bougie Morphology,
GeoRS(59), No. 10, October 2021, pp. 8117-8128.
IEEE DOI
2109
Image color analysis, Scattering, Image enhancement, Morphology,
Degradation, Image quality, Optical imaging, Contrast enhancement,
underwater image
BibRef
Jiang, Q.[Qun],
Zhang, Y.F.[Yun-Feng],
Bao, F.X.[Fang-Xun],
Zhao, X.Y.[Xiu-Yang],
Zhang, C.M.[Cai-Ming],
Liu, P.[Peide],
Two-step domain adaptation for underwater image enhancement,
PR(122), 2022, pp. 108324.
Elsevier DOI
2112
Underwater image enhancement, Transfer learning,
Domain adaptation, Cycle-consistent adversarial network
BibRef
Hu, J.K.[Jun-Kang],
Jiang, Q.P.[Qiu-Ping],
Cong, R.M.[Run-Min],
Gao, W.[Wei],
Shao, F.[Feng],
Two-Branch Deep Neural Network for Underwater Image Enhancement in
HSV Color Space,
SPLetters(28), 2021, pp. 2152-2156.
IEEE DOI
2112
Image color analysis, Degradation, Deep learning,
Image enhancement, Training, Generators, convolutional neural network
BibRef
Huang, Z.X.[Zhi-Xiong],
Li, J.J.[Jin-Jiang],
Hua, Z.[Zhen],
Underwater Image Enhancement via LBP-Based Attention Residual Network,
IET-IPR(16), No. 1, 2022, pp. 158-175.
DOI Link
2112
See also Attention-Based Dual-Color Space Fusion Network for Low-Light Image Enhancement.
BibRef
Mathur, M.[Monika],
Goel, N.[Nidhi],
Enhancement algorithm for high visibility of underwater images,
IET-IPR(16), No. 4, 2022, pp. 1067-1082.
DOI Link
2203
BibRef
Qi, Q.[Qi],
Zhang, Y.C.[Yong-Chang],
Tian, F.[Fei],
Wu, Q.M.J.[Q. M. Jonathan],
Li, K.Q.[Kun-Qian],
Luan, X.[Xin],
Song, D.L.[Da-Lei],
Underwater Image Co-Enhancement With Correlation Feature Matching and
Joint Learning,
CirSysVideo(32), No. 3, March 2022, pp. 1133-1147.
IEEE DOI
2203
Image enhancement, Correlation, Task analysis, Degradation,
Deep learning, Visualization, Underwater image enhancement,
correlation feature matching
BibRef
Yang, H.[Hua],
Tian, F.[Fei],
Qi, Q.[Qi],
Wu, Q.M.J.[Q. M. Jonathan],
Li, K.[Kunqian],
Underwater image enhancement with latent consistency learning-based
color transfer,
IET-IPR(16), No. 6, 2022, pp. 1594-1612.
DOI Link
2204
BibRef
Li, K.Q.[Kun-Qian],
Fan, H.T.[Hong-Tao],
Qi, Q.[Qi],
Yan, C.[Chi],
Sun, K.[Kun],
Wu, Q.M.J.[Q. M. Jonathan],
TCTL-Net: Template-Free Color Transfer Learning for Self-Attention
Driven Underwater Image Enhancement,
CirSysVideo(34), No. 6, June 2024, pp. 4682-4697.
IEEE DOI Code:
HTML Version.
2406
Image color analysis, Image enhancement, Visualization, Training,
Image resolution, Degradation, Task analysis,
differentiated enhancement
BibRef
Yan, X.H.[Xiao-Hong],
Wang, G.X.[Guang-Xin],
Wang, G.Y.[Guang-Yuan],
Wang, Y.F.[Ya-Fei],
Fu, X.P.[Xian-Ping],
A novel biologically-inspired method for underwater image enhancement,
SP:IC(104), 2022, pp. 116670.
Elsevier DOI
2204
Underwater image, Biological vision, Color constancy, Luminance adaptation
BibRef
Wang, L.[Li],
Xu, L.Z.[Li-Zhong],
Tian, W.[Wei],
Zhang, Y.F.[Yun-Fei],
Feng, H.[Hui],
Chen, Z.[Zhe],
Underwater image super-resolution and enhancement via progressive
frequency-interleaved network,
JVCIR(86), 2022, pp. 103545.
Elsevier DOI
2206
Underwater image, Super-resolution, Enhancement, Deep learning, Frequency domain
BibRef
Sun, K.C.[Kai-Chuan],
Meng, F.[Fei],
Tian, Y.[Yubo],
Progressive multi-branch embedding fusion network for underwater
image enhancement,
JVCIR(87), 2022, pp. 103587.
Elsevier DOI
2208
Underwater image enhancement, Marine snow removal,
Multi-branch embedding fusion, Multi-stage framework
BibRef
Song, H.J.[Hua-Jun],
Chang, L.[Laibin],
Chen, Z.W.[Zi-Wei],
Ren, P.[Peng],
Enhancement-Registration-Homogenization (ERH): A Comprehensive
Underwater Visual Reconstruction Paradigm,
PAMI(44), No. 10, October 2022, pp. 6953-6967.
IEEE DOI
2209
Image color analysis, Image reconstruction, Visualization,
Nonhomogeneous media, Image restoration, Image fusion,
underwater image reconstruction
BibRef
Lin, P.[Peng],
Wang, Y.F.[Ya-Fei],
Wang, G.Y.[Guang-Yuan],
Yan, X.H.[Xiao-Hong],
Jiang, G.Q.[Guang-Qi],
Fu, X.P.[Xian-Ping],
Conditional generative adversarial network with dual-branch
progressive generator for underwater image enhancement,
SP:IC(108), 2022, pp. 116805.
Elsevier DOI
2209
Underwater image enhancement, Progressive enhancement,
Dual-branch generator, Deep learning
BibRef
Jiang, N.F.[Nan-Feng],
Chen, W.L.[Wei-Ling],
Lin, Y.T.[Yu-Ting],
Zhao, T.S.[Tie-Song],
Lin, C.W.[Chia-Wen],
Underwater Image Enhancement With Lightweight Cascaded Network,
MultMed(24), 2022, pp. 4301-4313.
IEEE DOI
2210
Image color analysis, Task analysis, Visualization, Physics,
Mathematical models, Complexity theory, Laplace equations,
oceanic image processing
BibRef
Shi, Z.H.[Zheng-Hao],
Wang, Y.L.[Yong-Li],
Zhou, Z.[Zhaorun],
Ren, W.Q.[Wen-Qi],
Integrating deep learning and traditional image enhancement
techniques for underwater image enhancement,
IET-IPR(16), No. 13, 2022, pp. 3471-3484.
DOI Link
2210
BibRef
Xue, X.W.[Xin-Wei],
Li, Z.X.[Ze-Xuanxo],
Ma, L.[Long],
Jia, Q.[Qi],
Liu, R.S.[Ri-Sheng],
Fan, X.[Xin],
Investigating intrinsic degradation factors by multi-branch
aggregation for real-world underwater image enhancement,
PR(133), 2023, pp. 109041.
Elsevier DOI
2210
Underwater image enhancement, Multi-branch learning,
Real-world underwater images, Comprehensive evaluation
BibRef
Wu, J.J.[Jun-Jun],
Liu, X.L.[Xi-Lin],
Lu, Q.H.[Qing-Hua],
Lin, Z.[Zeqin],
Qin, N.[Ningwei],
Shi, Q.W.[Qing-Wu],
FW-GAN: Underwater image enhancement using generative adversarial
network with multi-scale fusion,
SP:IC(109), 2022, pp. 116855.
Elsevier DOI
2210
Underwater robot, Image enhancement,
Generative adversarial network, Generalization capability, Deep learning
BibRef
Qi, Q.[Qi],
Li, K.[Kunqian],
Zheng, H.Y.[Hai-Yong],
Gao, X.[Xiang],
Hou, G.J.[Guo-Jia],
Sun, K.[Kun],
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement
With Multi-Scale Perception,
IP(31), 2022, pp. 6816-6830.
IEEE DOI
2211
Semantics, Image enhancement, Task analysis, Feature extraction,
Training, Degradation, Visualization, Underwater image enhancement,
SUIM-E dataset
BibRef
Li, F.[Fei],
Zheng, J.B.[Jiang-Bin],
Zhang, Y.F.[Yuan-Fang],
Jia, W.J.[Wen-Jing],
Wei, Q.[Qianru],
He, X.J.[Xiang-Jian],
Cross-domain learning for underwater image enhancement,
SP:IC(110), 2023, pp. 116890.
Elsevier DOI
2212
Unsupervised learning, Underwater image enhancement, GAN, Loss function
BibRef
Wang, H.[Hao],
Sun, S.X.[Shi-Xin],
Ren, P.[Peng],
Meta underwater camera:
A smart protocol for underwater image enhancement,
PandRS(195), 2023, pp. 462-481.
Elsevier DOI
2301
Meta underwater camera, Underwater image enhancement,
Smart protocol, Reinforcement learning
BibRef
Chang, L.[Laibin],
Song, H.J.[Hua-Jun],
Li, M.J.[Ming-Jie],
Xiang, M.[Ming],
UIDEF: A real-world underwater image dataset and a color-contrast
complementary image enhancement framework,
PandRS(196), 2023, pp. 415-428.
Elsevier DOI
2302
Underwater image enhancement, Real-world underwater dataset,
Adaptive color balance, Multi-scale weighted fusion, Visual reconstruction
BibRef
Wang, Z.Y.[Zheng-Yong],
Shen, L.Q.[Li-Quan],
Xu, M.[Mai],
Yu, M.[Mei],
Wang, K.[Kun],
Lin, Y.F.[Yu-Fei],
Domain Adaptation for Underwater Image Enhancement,
IP(32), 2023, pp. 1442-1457.
IEEE DOI
2303
Image enhancement, Image color analysis, Adaptation models,
Synthetic data, Data models, Training, Degradation,
rank-based underwater image quality assessment
BibRef
Kang, Y.Z.[Yao-Zu],
Jiang, Q.P.[Qiu-Ping],
Li, C.Y.[Chong-Yi],
Ren, W.Q.[Wen-Qi],
Liu, H.T.[Han-Tao],
Wang, P.J.[Peng-Jun],
A Perception-Aware Decomposition and Fusion Framework for Underwater
Image Enhancement,
CirSysVideo(33), No. 3, March 2023, pp. 988-1002.
IEEE DOI
2303
Visualization, Image color analysis, Image reconstruction,
Image enhancement, Fuses, Task analysis, Image quality, image fusion
BibRef
Zhang, W.D.[Wei-Dong],
Zhou, L.[Ling],
Zhuang, P.X.[Pei-Xian],
Li, G.[Guohou],
Pan, X.P.[Xi-Peng],
Zhao, W.[Wenyi],
Li, C.Y.[Chong-Yi],
Underwater Image Enhancement via Weighted Wavelet Visual Perception
Fusion,
CirSysVideo(34), No. 4, April 2024, pp. 2469-2483.
IEEE DOI Code:
WWW Link.
2404
Image color analysis, Image enhancement, Image restoration,
Attenuation, Visual perception, Distortion, Degradation, underwater imaging
BibRef
Zheng, Y.C.[Yu-Chao],
Lu, H.M.[Hui-Min],
Wang, J.Y.[Jing-Yi],
Zhang, W.D.[Wei-Dong],
Guizani, M.[Mohsen],
High-Turbidity Underwater Image Enhancement via Turbidity Suppression
Fusion,
CirSysVideo(35), No. 4, April 2025, pp. 3527-3540.
IEEE DOI
2504
Image color analysis, Turbidity, Imaging, Image restoration,
Histograms, Adaptation models, Computational modeling,
contrast enhancement
BibRef
Zhang, W.D.[Wei-Dong],
Liu, Q.M.[Qing-Min],
Feng, Y.K.[Yi-Kun],
Cai, L.[Lei],
Zhuang, P.X.[Pei-Xian],
Underwater Image Enhancement via Principal Component Fusion of
Foreground and Background,
CirSysVideo(34), No. 11, November 2024, pp. 10930-10943.
IEEE DOI Code:
WWW Link.
2412
Image color analysis, Principal component analysis, Imaging, Visual perception,
principal component fusion
BibRef
Zhang, W.D.[Wei-Dong],
Liu, Q.M.[Qing-Min],
Lu, H.M.[Hui-Min],
Wang, J.P.[Jian-Ping],
Liang, J.[Jing],
Underwater Image Enhancement via Wavelet Decomposition Fusion of
Advantage Contrast,
CirSysVideo(35), No. 8, August 2025, pp. 7807-7820.
IEEE DOI Code:
WWW Link.
2508
Image color analysis, Circuits and systems, Degradation,
Image restoration, Image enhancement, Lighting, Attenuation,
wavelet decomposition fusion
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
Zhang, W.B.[Wei-Bo],
Wang, H.[Hao],
Ren, P.[Peng],
Zhang, W.D.[Wei-Dong],
MACT: Underwater image color correction via Minimally Attenuated
Channel Transfer,
PRL(187), 2025, pp. 28-34.
Elsevier DOI Code:
WWW Link.
2501
Minimally attenuated channel transfer, Color distortion,
Underwater image enhancement, Linear stretching
BibRef
Zhang, W.D.[Wei-Dong],
Zhuang, P.X.[Pei-Xian],
Sun, H.H.[Hai-Han],
Li, G.[Guohou],
Kwong, S.[Sam],
Li, C.Y.[Chong-Yi],
Underwater Image Enhancement via Minimal Color Loss and Locally
Adaptive Contrast Enhancement,
IP(31), 2022, pp. 3997-4010.
IEEE DOI
2206
Image color analysis, Attenuation, Imaging, Channel estimation,
Image enhancement, Degradation, Learning systems, underwater imaging
BibRef
Liang, Z.[Zheng],
Zhang, W.D.[Wei-Dong],
Ruan, R.[Rui],
Zhuang, P.X.[Pei-Xian],
Xie, X.[Xiwang],
Li, C.Y.[Chong-Yi],
Underwater Image Quality Improvement via Color, Detail, and Contrast
Restoration,
CirSysVideo(34), No. 3, March 2024, pp. 1726-1742.
IEEE DOI
2403
Image restoration, Image color analysis, Backscatter,
Image enhancement, Channel estimation, Estimation, Attenuation,
backscatter light removal
BibRef
Zhang, W.D.[Wei-Dong],
Jin, S.L.[Song-Lin],
Zhuang, P.X.[Pei-Xian],
Liang, Z.[Zheng],
Li, C.Y.[Chong-Yi],
Underwater Image Enhancement via Piecewise Color Correction and Dual
Prior Optimized Contrast Enhancement,
SPLetters(30), 2023, pp. 229-233.
IEEE DOI
2303
Image color analysis, Degradation, Image quality, Gray-scale,
Training data, Measurement, Serious quality degradation, layer decomposition
BibRef
Dong, L.L.[Li-Li],
Zhang, W.D.[Wei-Dong],
Xu, W.H.[Wen-Hai],
Underwater image enhancement via integrated RGB and LAB color models,
SP:IC(104), 2022, pp. 116684.
Elsevier DOI
2204
Underwater image color shift, Color correction,
Local enhancement, Gain equalization
BibRef
Mu, D.L.[De-Lang],
Li, H.[Heng],
Liu, H.[Hui],
Dong, L.[Ling],
Zhang, G.Y.[Guo-Yin],
Underwater Image Enhancement Using a Mixed Generative Adversarial
Network,
IET-IPR(17), No. 4, 2023, pp. 1149-1160.
DOI Link
2303
generative adversarial network, underwater images, visual perception enhancement
BibRef
Peng, L.T.[Lin-Tao],
Zhu, C.L.[Chun-Li],
Bian, L.H.[Li-Heng],
U-Shape Transformer for Underwater Image Enhancement,
IP(32), 2023, pp. 3066-3079.
IEEE DOI
2306
BibRef
Earlier:
AIM22(290-307).
Springer DOI
2304
Image color analysis, Visualization, Imaging, Circuit faults,
Attenuation, Transformers, Task analysis,
underwater image dataset
BibRef
Hao, X.[Xuyan],
Liu, L.X.[Li-Xin],
DGC-UWnet: Underwater image enhancement based on
computation-efficient convolution and channel shuffle,
IET-IPR(17), No. 7, 2023, pp. 2158-2167.
DOI Link
2305
image enhancement, image processing
BibRef
Li, K.Q.[Kun-Qian],
Wu, L.[Li],
Qi, Q.[Qi],
Liu, W.J.[Wen-Jie],
Gao, X.[Xiang],
Zhou, L.Q.[Li-Qin],
Song, D.L.[Da-Lei],
Beyond Single Reference for Training: Underwater Image Enhancement
via Comparative Learning,
CirSysVideo(33), No. 6, June 2023, pp. 2561-2576.
IEEE DOI
2306
Training, Image enhancement, Visualization, Task analysis,
Generators, Deep learning, Oceans, Underwater image enhancement,
blind image quality assessment
BibRef
Wang, N.[Ning],
Chen, T.[Tingkai],
Kong, X.J.[Xiang-Jun],
Chen, Y.Z.[Yan-Zheng],
Wang, R.F.[Rong-Feng],
Gong, Y.J.[Yong-Jun],
Song, S.[Shiji],
Underwater Attentional Generative Adversarial Networks for Image
Enhancement,
HMS(53), No. 3, June 2023, pp. 490-500.
IEEE DOI
2306
Image restoration, Image color analysis, Feature extraction,
Task analysis, Image enhancement, Man-machine systems,
underwater image enhancement (UIE)
BibRef
Honnutagi, P.[Pooja],
Laitha, Y.S.,
Mytri, V.D.,
Underwater Video Enhancement Using Manta Ray Foraging Lion
Optimization-Based Fusion Convolutional Neural Network,
IJIG(23), No. 4 2023, pp. 2350031.
DOI Link
2308
BibRef
Wang, Q.[Qiang],
Fu, B.[Bo],
Fan, H.J.[Hui-Jie],
Underwater image enhancement via a channel-wise transmission
estimation network,
IET-IPR(17), No. 10, 2023, pp. 2958-2971.
DOI Link
2308
image enhancement, image restoration, image representation
BibRef
Li, M.Y.[Meng-Yao],
Wang, K.[Kun],
Shen, L.Q.[Li-Quan],
Lin, Y.F.[Yu-Fei],
Wang, Z.Y.[Zheng-Yong],
Zhao, Q.J.[Qi-Jie],
UIALN: Enhancement for Underwater Image With Artificial Light,
CirSysVideo(33), No. 8, August 2023, pp. 3622-3637.
IEEE DOI
2308
Image color analysis, Image enhancement, Lighting,
Image restoration, Imaging, Distortion, Training,
artificial light
BibRef
Cong, R.M.[Run-Min],
Yang, W.Y.[Wen-Yu],
Zhang, W.[Wei],
Li, C.Y.[Chong-Yi],
Guo, C.L.[Chun-Le],
Huang, Q.M.[Qing-Ming],
Kwong, S.[Sam],
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN
With Dual-Discriminators,
IP(32), 2023, pp. 4472-4485.
IEEE DOI
2309
BibRef
Nnolim, U.A.[Uche A.],
Fourth-Order Partial Differential Equation Framelet Fusion-Based Colour
Correction and Contrast Enhancement for Underwater Images,
IJIG(23), No. 5 2023, pp. 2350044.
DOI Link
2310
BibRef
Cheng, N.[Na],
Sun, Z.X.[Zhi-Xuan],
Zhu, X.B.[Xuan-Bing],
Wang, H.Y.[Hong-Yu],
A transformer-based network for perceptual contrastive underwater
image enhancement,
SP:IC(118), 2023, pp. 117032.
Elsevier DOI
2310
Underwater image enhancement, Transformer, Multi-loss function,
Contrastive learning
BibRef
Lu, S.Q.[Si-Qi],
Guan, F.X.[Feng-Xu],
Zhang, H.Y.[Han-Yu],
Lai, H.T.[Hai-Tao],
Underwater image enhancement method based on denoising diffusion
probabilistic model,
JVCIR(96), 2023, pp. 103926.
Elsevier DOI
2310
Denoising diffusion probabilistic model (DDPM),
Underwater image enhancement, Deep learning, Underwater image restoration
BibRef
Liu, K.[Ke],
Liang, Y.Q.[Yong-Quan],
Enhancement method for non-uniform scattering images of turbid
underwater based on neural network,
IVC(138), 2023, pp. 104813.
Elsevier DOI
2310
Visual quality enhancement, Underwater optical image,
Background light, Convolutional neural network, Image enhancement
BibRef
Qiao, N.Z.[Nian-Zu],
Sun, J.[Jia],
Ge, Q.B.[Quan-Bo],
Sun, C.Y.[Chang-Yin],
UIE-FSMC: Underwater Image Enhancement Based on Few-Shot Learning and
Multi-Color Space,
CirSysVideo(33), No. 10, October 2023, pp. 5391-5405.
IEEE DOI
2310
BibRef
Ma, H.P.[Hai-Ping],
Sun, S.Y.[Sheng-Yi],
Ye, S.G.[Seng-Gang],
Jiang, Z.H.[Zhe-Heng],
Non-Uniform Illumination Underwater Image Enhancement via Minimum
Weighted Error Entropy Loss,
SPLetters(30), 2023, pp. 1187-1191.
IEEE DOI
2310
BibRef
Liu, Q.[Qiong],
Zhang, Q.[Qi],
Liu, W.[Wei],
Chen, W.B.[Wen-Bai],
Liu, X.W.[Xin-Wang],
Wang, X.K.[Xiang-Ke],
WSDS-GAN: A weak-strong dual supervised learning method for
underwater image enhancement,
PR(143), 2023, pp. 109774.
Elsevier DOI
2310
Underwater image enhancement, Two-stage learning,
Deep learning, CycleGAN
BibRef
Deng, R.[Ruhui],
Zhao, L.[Lei],
Li, H.[Heng],
Liu, H.[Hui],
Cformer: An underwater image enhancement hybrid network combining
convolution and transformer,
IET-IPR(17), No. 13, 2023, pp. 3841-3855.
DOI Link
2311
image enhancement, image processing
BibRef
Avola, D.[Danilo],
Cannistraci, I.[Irene],
Cascio, M.[Marco],
Cinque, L.[Luigi],
Diko, A.[Anxhelo],
Distante, D.[Damiano],
Foresti, G.L.[Gian Luca],
Mecca, A.[Alessio],
Scagnetto, I.[Ivan],
Real-time GAN-based Model for Underwater Image Enhancement,
CIAP23(I:412-423).
Springer DOI
2312
BibRef
Tang, Y.H.[Yong-Hua],
Liu, X.[Xu],
Zhang, Z.P.[Zhi-Peng],
Lin, S.[Sen],
Adaptive Underwater Image Enhancement Guided by Generalized Imaging
Components,
SPLetters(30), 2023, pp. 1772-1776.
IEEE DOI
2312
BibRef
Xue, X.W.[Xin-Wei],
Ma, T.J.[Tian-Jiao],
Han, Y.D.[Yi-Dong],
Ma, L.[Long],
Liu, R.S.[Ri-Sheng],
Learning Deep Scene Curve for Fast and Robust Underwater Image
Enhancement,
SPLetters(31), 2024, pp. 6-10.
IEEE DOI
2401
BibRef
Liu, Q.[Qian],
He, Z.X.[Zong-Xin],
Zhang, D.[Dehuan],
Zhang, W.S.[Wei-Shi],
Lin, Z.[Zifan],
Sohel, F.[Ferdous],
DRC: Chromatic aberration intensity priors for underwater image
enhancement,
JVCIR(98), 2024, pp. 104065.
Elsevier DOI
2402
Aquaculture, Underwater image, Image enhancement,
Depth estimation, Imaging model
BibRef
Hu, S.T.[Shu-Teng],
Cheng, Z.[Zheng],
Fan, G.D.[Guo-Dong],
Gan, M.[Min],
Chen, C.L.P.[C.L. Philip],
Texture-aware and color-consistent learning for underwater image
enhancement,
JVCIR(98), 2024, pp. 104051.
Elsevier DOI
2402
Underwater image enhancement, Texture-aware, Color-consistent,
Feature decoupling
BibRef
Song, W.[Wei],
Shen, Z.H.[Zhi-Hao],
Zhang, M.H.[Ming-Hua],
Wang, Y.[Yan],
Liotta, A.[Antonio],
A hierarchical probabilistic underwater image enhancement model with
reinforcement tuning,
JVCIR(98), 2024, pp. 104052.
Elsevier DOI
2402
Underwater image enhancement, Hierarchical probabilistic model,
Underwater environment
BibRef
Chaurasia, D.[Dhiraj],
Chhikara, P.[Prateek],
Sea-Pix-GAN: Underwater image enhancement using adversarial neural
network,
JVCIR(98), 2024, pp. 104021.
Elsevier DOI
2402
Adversarial neural network, Deep learning, Image processing, Underwater imaging
BibRef
Wang, H.[Hao],
Sun, S.X.[Shi-Xin],
Ren, P.[Peng],
Underwater Color Disparities: Cues for Enhancing Underwater Images
Toward Natural Color Consistencies,
CirSysVideo(34), No. 2, February 2024, pp. 738-753.
IEEE DOI Code:
WWW Link.
2402
Image color analysis, Image enhancement, Histograms,
Adaptation models, Imaging, Technological innovation, Scattering,
underwater image enhancement
BibRef
Khandouzi, A.[Ali],
Ezoji, M.[Mehdi],
Coarse-to-fine underwater image enhancement with lightweight CNN and
attention-based refinement,
JVCIR(99), 2024, pp. 104068.
Elsevier DOI
2403
Underwater image enhancement, Deep learning, Image processing,
Convolutional neural network, Attention module, Modified histogram equalization
BibRef
Zhou, J.J.[Jia-Jia],
Zhuang, J.B.[Jun-Bin],
Zheng, Y.[Yan],
Chang, Y.S.[Ya-Sheng],
Mazhar, S.[Suleman],
HIFI-Net: A Novel Network for Enhancement to Underwater Optical
Images,
SPLetters(31), 2024, pp. 885-889.
IEEE DOI
2404
Convolution, Wavelet transforms, Kernel, Convolutional neural networks,
Frequency-domain analysis, underwater optical image
BibRef
Jiang, Q.P.[Qiu-Ping],
Kang, Y.Z.[Yao-Zu],
Wang, Z.H.[Zhi-Hua],
Ren, W.Q.[Wen-Qi],
Li, C.Y.[Chong-Yi],
Perception-Driven Deep Underwater Image Enhancement Without Paired
Supervision,
MultMed(26), 2024, pp. 4884-4897.
IEEE DOI
2404
Image color analysis, Training, Atmospheric modeling,
Generative adversarial networks, Image enhancement, Measurement
BibRef
Rao, Y.[Yuan],
Liu, W.J.[Wen-Jie],
Li, K.[Kunqian],
Fan, H.[Hao],
Wang, S.[Sen],
Dong, J.Y.[Jun-Yu],
Deep Color Compensation for Generalized Underwater Image Enhancement,
CirSysVideo(34), No. 4, April 2024, pp. 2577-2590.
IEEE DOI Code:
WWW Link.
2404
Image color analysis, Visualization, Probabilistic logic,
Integrated circuit modeling, Degradation, Channel estimation,
visual 3D reconstruction
BibRef
Xue, C.[Chang],
Liu, Q.Y.[Qing-Yu],
Huang, Y.F.[Yi-Fan],
Cheng, E.[En],
Yuan, F.[Fei],
A Dual-Branch Autoencoder Network for Underwater Low-Light Polarized
Image Enhancement,
RS(16), No. 7, 2024, pp. 1134.
DOI Link
2404
BibRef
Ouyang, W.J.[Wen-Jia],
Liu, J.[Junnan],
Wei, Y.H.[Yan-Hui],
An Underwater Image Enhancement Method Based on Balanced Adaption
Compensation,
SPLetters(31), 2024, pp. 1034-1038.
IEEE DOI
2405
Image reconstruction, Attenuation, Semantics, Correlation,
Image color analysis, Image enhancement, Optical imaging,
underwater image enhancement
BibRef
Zhou, J.C.[Jing-Chun],
Wang, S.Y.[Shi-Yin],
Lin, Z.[Zifan],
Jiang, Q.P.[Qiu-Ping],
Sohel, F.[Ferdous],
A Pixel Distribution Remapping and Multi-Prior Retinex Variational
Model for Underwater Image Enhancement,
MultMed(26), 2024, pp. 7838-7849.
IEEE DOI
2405
Image color analysis, Lighting, Reflectivity, Attenuation,
Brightness, Imaging, Colored noise, Underwater image enhancement,
underwater prior knowledge
BibRef
Liu, Z.K.[Zhen-Kai],
Fu, X.X.[Xin-Xiao],
Lin, C.[Chi],
Xu, H.Y.[Hai-Yong],
COC-UFGAN: Underwater image enhancement based on color opponent
compensation and dual-subnet underwater fusion generative adversarial
network,
JVCIR(100), 2024, pp. 104101.
Elsevier DOI
2405
Underwater Image Enhancement, Color Opponent Compensation,
Generative Adversarial Network
BibRef
Lu, S.Q.[Si-Qi],
Guan, F.X.[Feng-Xu],
Zhang, H.Y.[Han-Yu],
Lai, H.T.[Hai-Tao],
Speed-Up DDPM for Real-Time Underwater Image Enhancement,
CirSysVideo(34), No. 5, May 2024, pp. 3576-3588.
IEEE DOI
2405
Task analysis, Image color analysis, Image enhancement,
Noise reduction, Mathematical models, Real-time systems, Lighting,
deep learning
BibRef
Wang, M.J.[Ming-Jie],
Zhang, K.[Keke],
Wei, H.A.[Hong-An],
Chen, W.L.[Wei-Ling],
Zhao, T.S.[Tie-Song],
Underwater image quality optimization: Researches, challenges, and
future trends,
IVC(146), 2024, pp. 104995.
Elsevier DOI
2405
Underwater image enhancement, Underwater image restoration,
Image quality assessment, Underwater image datasets
BibRef
Li, Y.[Yinyi],
Shen, L.Q.[Li-Quan],
Li, M.Y.[Meng-Yao],
Wang, Z.Y.[Zheng-Yong],
Zhuang, L.[Lihao],
RUIESR: Realistic Underwater Image Enhancement and Super Resolution,
CirSysVideo(34), No. 6, June 2024, pp. 4713-4728.
IEEE DOI
2406
Degradation, Image color analysis, Superresolution, Task analysis,
Image reconstruction, Distortion, Image enhancement, color casts
BibRef
Huang, Y.[Yong],
Chen, R.[Renzhang],
Scientific mapping and bibliometric analysis of research advancements
in underwater image enhancement,
JVCIR(101), 2024, pp. 104166.
Elsevier DOI
2406
Underwater image enhancement, Deep learning, Underwater image restoration,
Underwater image fusion, Underwater image denoising
BibRef
Ma, L.P.[Lun-Peng],
Hong, D.Y.[Dong-Yang],
Yin, S.B.[Shi-Bai],
Deng, W.Q.[Wan-Qiu],
Yang, Y.[Yang],
Yang, Y.H.[Yee-Hong],
Convolution-transformer blend pyramid network for underwater image
enhancement,
JVCIR(101), 2024, pp. 104163.
Elsevier DOI
2406
Image enhancement, Laplacian pyramid,
Convolutional neural network, Transformer, Wavelet transform
BibRef
Li, F.[Fei],
Zheng, J.B.[Jiang-Bin],
Wang, L.[Lu],
Wang, S.K.[Sheng-Kang],
Integrating Cross-Domain Feature Representation and Semantic Guidance
for Underwater Image Enhancement,
SPLetters(31), 2024, pp. 1511-1515.
IEEE DOI
2406
Semantics, Feature extraction, Image enhancement,
Image color analysis, Image restoration, Visualization,
underwater image enhancement
BibRef
Lu, S.Q.[Si-Qi],
Guan, F.X.[Feng-Xu],
Lai, H.T.[Hai-Tao],
Underwater image enhancement based on global features and prior
distribution guided,
IVC(148), 2024, pp. 105101.
Elsevier DOI
2407
Underwater image enhancement, Global features,
Generalization capabilities, Condition variational auto-encoder
BibRef
Wang, H.[Hao],
Zhang, W.B.[Wei-Bo],
Ren, P.[Peng],
Self-organized underwater image enhancement,
PandRS(215), 2024, pp. 1-14.
Elsevier DOI Code:
WWW Link.
2408
Self-organized, Underwater image enhancement,
Human visual perception, Underwater color prior, Reinforcement learning
BibRef
Li, P.T.[Pei-Tong],
Chen, J.Y.[Jia-Ying],
Cai, C.T.[Cheng-Tao],
Reinforced Res-Unet transformer for underwater image enhancement,
SP:IC(127), 2024, pp. 117154.
Elsevier DOI
2408
Underwater image enhancement, Deep residual network,
Convolutional neural network, Vision transformer, Underwater image synthesis
BibRef
Zhou, J.C.[Jing-Chun],
Chen, S.H.[Shu-Han],
Zhang, D.[Dehuan],
He, Z.X.[Zong-Xin],
Lam, K.M.[Kin-Man],
Sohel, F.[Ferdous],
Vivone, G.[Gemine],
Adaptive variational decomposition for water-related optical image
enhancement,
PandRS(216), 2024, pp. 15-31.
Elsevier DOI
2408
Underwater image, Underwater image enhancement,
Backward scattering, Variational method
BibRef
Qiao, N.Z.[Nian-Zu],
Sun, C.Y.[Chang-Yin],
Dong, L.[Lu],
Ge, Q.B.[Quan-Bo],
Semi-Supervised Feature Distillation and Unsupervised Domain
Adversarial Distillation for Underwater Image Enhancement,
CirSysVideo(34), No. 8, August 2024, pp. 7671-7682.
IEEE DOI
2408
Image enhancement, Knowledge engineering, Training,
Image color analysis, Deep learning, Histograms, Degradation,
alternate training
BibRef
Hao, S.Y.[Shu-Yu],
Guo, J.[Jichang],
An, G.H.[Guan-Hua],
Wang, Y.D.[Yu-Dong],
Underwater image enhancement via multicolor space-guided curve
estimation,
JVCIR(103), 2024, pp. 104240.
Elsevier DOI
2409
Underwater image enhancement, Deep learning,
Multiple color spaces, Nonlinear mapping
BibRef
Chen, B.Y.[Bing-Yuan],
Su, J.N.[Jian-Nan],
Chen, G.Y.[Guang-Yong],
Gan, M.[Min],
FISTA acceleration inspired network design for underwater image
enhancement,
JVCIR(103), 2024, pp. 104224.
Elsevier DOI
2409
Underwater image enhancement, FISTA algorithm,
Proximal gradient, Deep learning
BibRef
Wang, Z.Y.[Zheng-Yong],
Shen, L.Q.[Li-Quan],
Yu, Y.H.[Yi-Han],
Hui, Y.[Yuan],
UIERL: Internal-External Representation Learning Network for
Underwater Image Enhancement,
MultMed(26), 2024, pp. 9252-9267.
IEEE DOI
2409
Image enhancement, Representation learning, Task analysis,
Visualization, Optical fibers, Image segmentation,
underwater image enhancement
BibRef
An, S.M.[Shun-Min],
Xu, L.H.[Li-Hong],
Deng, Z.C.[Zhi-Chao],
FastUNet: Fast hierarchical multi-patch underwater enhancement
network for industrial recirculating aquaculture,
PR(157), 2025, pp. 110928.
Elsevier DOI
2409
Recirculating aquaculture, Hierarchical multi-patch,
Prior constraint, Underwater enhancement
BibRef
An, G.H.[Guan-Hua],
He, A.[Ao],
Wang, Y.D.[Yu-Dong],
Guo, J.C.[Ji-Chang],
UWMamba: UnderWater Image Enhancement With State Space Model,
SPLetters(31), 2024, pp. 2725-2729.
IEEE DOI
2410
Convolution, Feature extraction, Image enhancement, Visualization,
Image color analysis, Fuses, Computational modeling,
underwater image enhancement
BibRef
Zhou, J.C.[Jing-Chun],
Sun, J.M.[Jia-Ming],
Li, C.Y.[Chong-Yi],
Jiang, Q.P.[Qiu-Ping],
Zhou, M.[Man],
Lam, K.M.[Kin-Man],
Zhang, W.S.[Wei-Shi],
Fu, X.P.[Xian-Ping],
HCLR-Net: Hybrid Contrastive Learning Regularization with Locally
Randomized Perturbation for Underwater Image Enhancement,
IJCV(132), No. 10, October 2024, pp. 4132-4156.
Springer DOI
2410
BibRef
And:
Correction:
IJCV(132), No. 11, November 2024, pp. 5490-5490.
Springer DOI
2411
BibRef
Liu, Y.[Yi],
Jiang, Q.P.[Qiu-Ping],
Wang, X.[Xinyi],
Luo, T.[Ting],
Zhou, J.C.[Jing-Chun],
Underwater Image Enhancement with Cascaded Contrastive Learning,
MultMed(27), 2025, pp. 1512-1525.
IEEE DOI
2503
Image color analysis, Contrastive learning, Degradation, Training,
Lower bound, Deep learning, Visualization, Image enhancement,
contrastive learning
BibRef
Ji, X.[Xun],
Wang, X.[Xu],
Leng, N.[Na],
Hao, L.Y.[Li-Ying],
Guo, H.[Hui],
Dual-branch underwater image enhancement network via multiscale
neighborhood interaction attention learning,
IVC(151), 2024, pp. 105256.
Elsevier DOI
2411
Underwater image enhancement, Convolutional neural network,
Deep learning, Attention mechanism
BibRef
Li, Y.Y.[Yuan-Yuan],
Mi, Z.[Zetian],
Lin, P.[Peng],
Fu, X.P.[Xian-Ping],
Underwater image enhancement via brightness mask-guided
multi-attention embedding,
SP:IC(130), 2025, pp. 117200.
Elsevier DOI
2412
Underwater image enhancement, Brightness mask-guided,
Attention mechanism, Deep learning
BibRef
Song, J.Y.[Jing-Yu],
Xu, H.Y.[Hai-Yong],
Jiang, G.Y.[Gang-Yi],
Yu, M.[Mei],
Chen, Y.Y.[Ye-Yao],
Luo, T.[Ting],
Song, Y.[Yang],
Frequency domain-based latent diffusion model for underwater image
enhancement,
PR(160), 2025, pp. 111198.
Elsevier DOI
2501
Frequency domain, Latent diffusion model, Underwater image enhancement
BibRef
Xia, H.S.[Hai-Sheng],
Bao, B.L.[Bing-Lei],
Liao, F.[Fei],
Chen, J.T.[Jin-Tao],
Wang, B.L.[Bing-Lu],
Li, Z.J.[Zhi-Jun],
A Patch-Based Method for Underwater Image Enhancement With Denoising
Diffusion Models,
Cyber(55), No. 1, January 2025, pp. 269-281.
IEEE DOI
2501
Image restoration, Diffusion models, Noise, Noise reduction,
Image resolution, Training, Spatial resolution,
underwater image enhancement (UIE)
BibRef
Zhou, Y.[Yang],
Su, Q.H.[Qing-Hua],
Hu, Z.[Zhongbo],
Jiang, S.J.[Shao-Jie],
Underwater image enhancement method via extreme enhancement and
ultimate weakening,
JVCIR(105), 2024, pp. 104341.
Elsevier DOI
2501
Contrast balance, Extreme enhancement,
Grey prediction evolution algorithm, Pure gray image,
Underwater image enhancement
BibRef
Wei, T.Y.[Tian-Yu],
Zhang, D.H.[De-Huan],
He, Z.X.[Zong-Xin],
Zhou, R.[Rui],
Meng, X.F.[Xiang-Fu],
Multi-domain conditional prior network for water-related optical
image enhancement,
CVIU(251), 2025, pp. 104251.
Elsevier DOI
2501
Computational photography, Underwater imaging,
Water-related optical images, Image enhancement
BibRef
Xia, H.S.[Hai-Sheng],
Liao, F.[Fei],
Bao, B.L.[Bing-Lei],
Chen, J.T.[Jin-Tao],
Wang, B.L.[Bing-Lu],
Huang, Q.H.[Qing-Hua],
Li, Z.J.[Zhi-Jun],
Perspective on Wearable Systems for Human Underwater Perceptual
Enhancement,
Cyber(55), No. 2, February 2025, pp. 698-711.
IEEE DOI
2502
Biomedical monitoring, Sensors, Visualization, Wearable devices,
Underwater navigation, Sonar, Global Positioning System, virtual reality
BibRef
Cheng, Z.[Zheng],
Fan, G.D.[Guo-Dong],
Zhou, J.C.[Jing-Chun],
Gan, M.[Min],
Chen, C.L.P.[C. L. Philip],
FDCE-Net: Underwater Image Enhancement With Embedding Frequency and
Dual Color Encoder,
CirSysVideo(35), No. 2, February 2025, pp. 1728-1744.
IEEE DOI Code:
WWW Link.
2502
Image color analysis, Colored noise, Image enhancement,
Degradation, Imaging, Histograms, Frequency-domain analysis, transformer
BibRef
Zhuang, J.B.[Jun-Bin],
Zheng, Y.[Yan],
Guo, B.[Baolong],
Yan, Y.[Yunyi],
Globally Deformable Information Selection Transformer for Underwater
Image Enhancement,
CirSysVideo(35), No. 1, January 2025, pp. 19-32.
IEEE DOI
2502
Transformers, Image color analysis, Image enhancement,
Image processing, Circuit faults, Feature extraction,
global feature selection
BibRef
Li, Y.Y.[Yuan-Yuan],
Mi, Z.[Zetian],
Wang, Y.L.[Yu-Lin],
Jiang, S.[Shuaiyong],
Fu, X.P.[Xian-Ping],
TAFormer: A Transmission-Aware Transformer for Underwater Image
Enhancement,
CirSysVideo(35), No. 1, January 2025, pp. 601-616.
IEEE DOI
2502
Imaging, Transformers, Image color analysis, Image enhancement,
Image restoration, Degradation, Circuit faults,
underwater image enhancement
BibRef
Shao, J.X.[Jin-Xin],
Zhang, H.[Haosu],
Miao, J.M.[Jian-Ming],
GPLM: Enhancing underwater images with Global Pyramid Linear
Modulation,
IVC(154), 2025, pp. 105361.
Elsevier DOI
2502
Underwater image enhancement,
Global Pyramid Linear Modulation (GPLM),
Real world underwater enhancement dataset
BibRef
Deng, X.Y.[Xiang-Yu],
Zhang, Y.Q.[Yong-Qing],
Wang, H.[Huigang],
Hu, H.[Hao],
Robust underwater image enhancement method based on natural light and
reflectivity,
JOSA-A(38), No. 2, February 2021, pp. 181-191.
DOI Link
2503
Image enhancement, Image metrics, Imaging techniques,
Neural networks, Point spread function, Underwater imaging
BibRef
Deng, X.Y.[Xiang-Yu],
Zhu, K.[Kexin],
Rong, S.W.[Shao-Wei],
Perceptual illumination-structure patch decomposition for enhancing
complex lighted underwater images,
JOSA-A(41), No. 9, September 2024, pp. 1683-1692.
DOI Link
2503
Deep learning, Image metrics, Imaging techniques, Light sources,
Machine vision, Underwater imaging
BibRef
Liu, X.[Xiao],
Liu, Z.W.[Zi-Wei],
Yu, L.[Li],
Empower network to comprehend: Semantic guided and attention fusion
GAN for underwater image enhancement,
SP:IC(134), 2025, pp. 117271.
Elsevier DOI
2503
Underwater image enhancement, GAN, Attention feature fusion
BibRef
Wu, Z.[Zeju],
Chen, K.M.[Kai-Ming],
Ji, P.X.[Pan-Xin],
Zhao, H.R.[Hao-Ran],
Sun, X.[Xin],
MSFFT-Net: A multi-scale feature fusion transformer network for
underwater image enhancement,
JVCIR(107), 2025, pp. 104355.
Elsevier DOI
2503
Underwater image enhancement, Deep learning,
Window self-attention, Multi-scale feature fusion
BibRef
Ma, H.P.[Hai-Ping],
Huang, J.Y.[Ji-Yuan],
Shen, C.X.[Chen-Xu],
Jiang, Z.H.[Zhe-Heng],
Retinex-inspired underwater image enhancement with information
entropy smoothing and non-uniform illumination priors,
PR(162), 2025, pp. 111411.
Elsevier DOI
2503
Underwater image enhancement, Retinex variational model,
Non-uniform illumination, Minimum weighted error entropy,
Independent and piecewise identical distribution
BibRef
Cao, J.Z.[Jiang-Zhong],
Zeng, Z.[Zekai],
Zhang, X.[Xu],
Zhang, H.[Huan],
Fan, C.L.[Chun-Ling],
Jiang, G.Y.[Gang-Yi],
Lin, W.S.[Wei-Si],
Unveiling the underwater world: CLIP perception model-guided
underwater image enhancement,
PR(162), 2025, pp. 111395.
Elsevier DOI
2503
CLIP perception model, Underwater Image Enhancement,
Curriculum contrastive regularization
BibRef
Zhang, Z.X.[Zeng-Xi],
Jiang, Z.Y.[Zhi-Ying],
Ma, L.[Long],
Liu, J.Y.[Jin-Yuan],
Fan, X.[Xin],
Liu, R.S.[Ri-Sheng],
HUPE: Heuristic Underwater Perceptual Enhancement with Semantic
Collaborative Learning,
IJCV(133), No. 6, June 2025, pp. Psges 3259-3277.
Springer DOI
2505
BibRef
Qing, Y.H.[Yu-Hao],
Liu, S.[Si],
Wang, H.[Hai],
Wang, Y.Y.[Yue-Ying],
DiffUIE: Learning Latent Global Priors in Diffusion Models for
Underwater Image Enhancement,
MultMed(27), 2025, pp. 2516-2529.
IEEE DOI
2505
Image color analysis, Image enhancement, Diffusion models, Training,
Distortion, Colored noise, Noise, Noise reduction, stable sampling
BibRef
Wang, Q.Z.[Qing-Zheng],
Li, B.[Bin],
Shi, G.[Ge],
Wang, X.Y.[Xin-Yu],
Chen, Y.L.[Yi-Liang],
Domain-guided multi-frequency underwater image enhancement network,
SP:IC(136), 2025, pp. 117281.
Elsevier DOI Code:
WWW Link.
2505
Underwater image enhancement, Water type classifier, Multi-frequency mixer
BibRef
Chi, K.[Kaichen],
Li, Q.[Qiang],
Underwater image enhancement via color constraints and
transmission-guided modeling,
PR(168), 2025, pp. 111840.
Elsevier DOI
2506
Underwater image enhancement, Generative adversarial learning,
Noise prior, Long short-term memory (LSTM)
BibRef
Pham, T.T.[Thuy Thi],
Mai, T.T.N.[Truong Thanh Nhat],
Yu, H.S.[Han-Sung],
Lee, C.[Chul],
Dual-channel prior-based deep unfolding with contrastive learning for
underwater image enhancement,
JVCIR(111), 2025, pp. 104500.
Elsevier DOI
2509
BibRef
Earlier: A1, A2, A4, Only:
Deep Unfolding Network with Physics-Based Priors for Underwater Image
Enhancement,
ICIP23(46-50)
IEEE DOI
2312
Underwater image enhancement, Deep unfolding,
Model-based deep learning, Contrastive learning
BibRef
Mei, H.[Han],
Li, K.[Kunqian],
Liu, S.[Shuaixin],
Ma, C.Z.[Cheng-Zhi],
Jiang, Q.L.[Qian-Li],
DPF-Net: Physical imaging model embedded data-driven underwater image
enhancement,
PandRS(228), 2025, pp. 679-693.
Elsevier DOI Code:
WWW Link.
2509
Underwater image enhancement, Deep learning,
Physical underwater imaging model, Feature fusion
BibRef
Ma, J.[Jing],
Shi, Y.W.[Yi-Wei],
Yin, S.[Shibai],
Wang, Y.B.[Yi-Bin],
Fu, Y.F.[Yan-Fang],
Yang, Y.H.[Yee-Hong],
Dual-Branch Wavelet Diffusion models with Dual-Prior Refinement for
Underwater Image Enhancement,
JVCIR(111), 2025, pp. 104535.
Elsevier DOI
2509
Underwater image enhancement, Diffusion models,
Prior refinement, Wavelet transform
BibRef
Cao, J.C.[Jing-Chao],
Peng, W.Z.[Wang-Zhen],
Liu, Y.T.[Yu-Tao],
Dong, J.Y.[Jun-Yu],
Le Callet, P.[Patrick],
Kwong, S.[Sam],
ERD: Encoder-Residual-Decoder Neural Network for Underwater Image
Enhancement,
CirSysVideo(35), No. 9, September 2025, pp. 8958-8972.
IEEE DOI Code:
WWW Link.
2509
Image color analysis, Feature extraction, Transformers,
Image quality, Training, Imaging, Image restoration,
Fourier transform
BibRef
Srinath, S.[Suhas],
Chandrasekar, A.[Aditya],
Jamadagni, H.[Hemang],
Soundararajan, R.[Rajiv],
P, P.A.[Prathosh A],
UnDIVE: Generalized Underwater Video Enhancement Using Generative
Priors,
WACV25(9001-9012)
IEEE DOI
2505
Degradation, Computational modeling, Noise reduction, Imaging,
Streaming media, Diffusion models, Real-time systems, temporal consistency
BibRef
Mishra, P.[Priyanka],
Mehta, N.[Nancy],
Vipparthi, S.K.[Santosh Kumar],
Murala, S.[Subrahmanyam],
USWformer: Efficient Sparse Wavelet Transformer for Underwater Image
Enhancement,
WACV25(3372-3382)
IEEE DOI
2505
Wavelet transforms, Wavelet domain, Computational modeling,
Frequency-domain analysis, Redundancy, Transformers,
Image reconstruction
BibRef
Azhar, A.S.B.M.[Amiera Syazlin Binti Md],
Harun, N.H.B.[Nor Hazlyna Binti],
Yusoff, N.B.[Nooraini Binti],
Hassan, M.G.B.[Mohamad Ghozali Bin],
Chu, K.B.[Kua Beng],
Image Enhancement on Underwater Images for Protozoan White Spot Fish
Disease Detection,
ISCV22(1-4)
IEEE DOI
2208
Image quality, Economics, Histograms,
Image color analysis, Fish, Intelligent systems,
Image Enhancement
BibRef
Lin, W.T.[Wei-Tung],
Lin, Y.X.[Yong-Xiang],
Chen, J.W.[Jyun-Wei],
Hua, K.L.[Kai-Lung],
Pixmamba: Leveraging State Space Models in a Dual-level Architecture
for Underwater Image Enhancement,
ACCV24(IV: 176-191).
Springer DOI
2412
BibRef
Tun, M.T.[May Thet],
Sugiura, Y.[Yosuke],
Shimamura, T.[Tetsuya],
Lightweight Underwater Image Enhancement via Impulse Response of
Low-Pass Filter Based Attention Network,
ICIP24(1697-1703)
IEEE DOI
2411
Performance evaluation, Autonomous underwater vehicles,
Visualization, Image coding, Convolution, Low-pass filters,
SimAM attention module
BibRef
Xie, Y.F.[Yao-Feng],
Kong, L.W.[Ling-Wei],
Chen, K.[Kai],
Zheng, Z.Q.[Zi-Qiang],
Yu, X.[Xiao],
Yu, Z.B.[Zhi-Bin],
Zheng, B.[Bing],
UVEB: A Large-scale Benchmark and Baseline Towards Real-World
Underwater Video Enhancement,
CVPR24(22358-22367)
IEEE DOI
2410
Degradation, Training, Video sequences, Benchmark testing,
Real-time systems, Kernel, video processing
BibRef
Chandrasekar, A.[Aditya],
Sreenivas, M.[Manogna],
Biswas, S.[Soma],
PhISH-Net: Physics Inspired System for High Resolution Underwater
Image Enhancement,
WACV24(1495-1505)
IEEE DOI
2404
Water, Image color analysis, Computational modeling,
Neural networks, Attenuation, Real-time systems, Algorithms,
image and video synthesis
BibRef
Khan, M.R.[Md Raqib],
Mishra, P.[Priyanka],
Mehta, N.[Nancy],
Phutke, S.S.[Shruti S.],
Vipparthi, S.K.[Santosh Kumar],
Nandi, S.[Sukumar],
Murala, S.[Subrahmanyam],
Spectroformer: Multi-Domain Query Cascaded Transformer Network For
Underwater Image Enhancement,
WACV24(1443-1452)
IEEE DOI Code:
WWW Link.
2404
Codes, Image color analysis, Lighting, Estimation, Transformers,
Distortion, Algorithms, Image recognition and understanding,
Video recognition and understanding
BibRef
Kapoor, M.[Meghna],
Baghel, R.[Rohan],
Subudhi, B.N.[Badri Narayan],
Jakhetiya, V.[Vinit],
Bansal, A.[Ankur],
Domain Adversarial Learning Towards Underwater Image Enhancement,
WiCV-ICCV23(2233-2243)
IEEE DOI
2401
BibRef
Chu, X.Y.[Xue-Ye],
Fu, Z.Q.[Zhen-Qi],
Yu, S.C.[Shao-Cong],
Tu, X.T.[Xiao-Tong],
Huang, Y.[Yue],
Ding, X.H.[Xing-Hao],
Underwater Image Enhancement and Super-Resolution Using Implicit
Neural Networks,
ICIP23(1295-1299)
IEEE DOI
2312
BibRef
Badran, M.[Mohamed],
Torki, M.[Marwan],
DAUT: Underwater Image Enhancement Using Depth Aware U-shape
Transformer,
ICIP23(1830-1834)
IEEE DOI Code:
WWW Link.
2312
BibRef
Jiang, J.X.[Jing-Xia],
Bai, J.[Jinbin],
Liu, Y.[Yun],
Yin, J.J.[Jun-Jie],
Chen, S.[Sixiang],
Ye, T.[Tian],
Chen, E.[Erkang],
RSFDM-Net: Real-Time Spatial and Frequency Domains Modulation Network
for Underwater Image Enhancement,
ICIP23(2560-2564)
IEEE DOI
2312
BibRef
Wei, Y.W.[Yi-Wen],
Zheng, Z.[Zhuoran],
Jia, X.[Xiuyi],
UHD Underwater Image Enhancement via Frequency-spatial Domain Aware
Network,
ACCV22(III:21-36).
Springer DOI
2307
BibRef
Tang, Y.[Yi],
Iwaguchi, T.[Takafumi],
Kawasaki, H.[Hiroshi],
Sagawa, R.[Ryusuke],
Furukawa, R.[Ryo],
Autoenhancer: Transformer on U-net Architecture Search for Underwater
Image Enhancement,
ACCV22(III:120-137).
Springer DOI
2307
BibRef
Huang, M.X.[Meng-Xiao],
Wang, Y.[Yang],
Zou, W.Q.[Wei-Qi],
Cao, Y.[Yang],
Fast Adaptive Self-Supervised Underwater Image Enhancement,
ICIP22(3371-3375)
IEEE DOI
2211
Training, Degradation, Adaptation models, Image color analysis,
Absorption, Scattering, Channel estimation, self-supervised
BibRef
Fu, Z.Q.[Zhen-Qi],
Wang, W.[Wu],
Huang, Y.[Yue],
Ding, X.H.[Xing-Hao],
Ma, K.K.[Kai-Kuang],
Uncertainty Inspired Underwater Image Enhancement,
ECCV22(XVIII:465-482).
Springer DOI
2211
BibRef
Zhai, L.[Lujun],
Wang, Y.H.[Yong-Hui],
Cui, S.[Suxia],
Zhou, Y.[Yu],
Enhancing Underwater Image Using Degradation Adaptive Adversarial
Network,
ICIP22(4093-4097)
IEEE DOI
2211
Degradation, Training, Learning systems, Visualization,
Adaptation models, Adaptive systems, Image color analysis, unpaired data
BibRef
Boudiaf, A.[Abderrahmene],
Guo, Y.H.[Yu-Hang],
Ghimire, A.[Adarsh],
Werghi, N.[Naoufel],
de Masi, G.[Giulia],
Javed, S.[Sajid],
Dias, J.[Jorge],
Underwater Image Enhancement Using Pre-trained Transformer,
CIAP22(III:480-488).
Springer DOI
2205
BibRef
Huo, F.S.[Fu-Shuo],
Li, B.H.[Bing-Heng],
Zhu, X.G.[Xue-Gui],
Efficient Wavelet Boost Learning-Based Multi-stage Progressive
Refinement Network for Underwater Image Enhancement,
AIM21(1944-1952)
IEEE DOI
2112
Degradation, Wavelet transforms, Wavelet domain,
Image color analysis, Frequency-domain analysis
BibRef
Shen, L.,
Zhao, Y.,
Underwater Image Enhancement Based on Polarization Imaging,
ISPRS20(B1:579-585).
DOI Link
2012
BibRef
Xiong, J.,
Zhuang, P.,
Zhang, Y.,
An Efficient Underwater Image Enhancement Model With Extensive
Beer-Lambert Law,
ICIP20(893-897)
IEEE DOI
2011
Image color analysis, Cameras, Mathematical model,
Image enhancement, Adaptation models, Image restoration,
nonlinear adaptive weight
BibRef
Li, C.Y.,
Cavallaro, A.,
Cast-GAN: Learning To Remove Colour Cast From Underwater Images,
ICIP20(1083-1087)
IEEE DOI
2011
Image color analysis, Attenuation, Training, Image enhancement,
Scattering, Neural networks, Cameras, Image enhancement,
Image synthesis
BibRef
Marques, T.P.,
Albu, A.B.[A. Branzan],
L2UWE: A Framework for the Efficient Enhancement of Low-Light
Underwater Images Using Local Contrast and Multi-Scale Fusion,
NTIRE20(2286-2295)
IEEE DOI
2008
Lighting, Image color analysis, Atmospheric modeling,
Mathematical model, Visualization, Biological system modeling, Cameras
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
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
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
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
Zhang, S.J.[Shi-Jie],
Zhang, J.[Jing],
Fang, S.[Shuai],
Cao, Y.[Yang],
Underwater stereo image enhancement using a new physical model,
ICIP14(5422-5426)
IEEE DOI
1502
Attenuation
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
Celebi, A.T.[Aysun Tasyapi],
Erturk, S.[Sarp],
Empirical mode decomposition based visual enhancement of underwater
images,
IPTA10(221-224).
IEEE DOI
1007
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Underwater Images, Color Correction .