Yang, M.,
Sowmya, A.,
New Image Quality Evaluation Metric for Underwater Video,
SPLetters(21), No. 10, October 2014, pp. 1215-1219.
IEEE DOI
1407
Contrast metric
BibRef
Yang, M.,
Sowmya, A.,
An Underwater Color Image Quality Evaluation Metric,
IP(24), No. 12, December 2015, pp. 6062-6071.
IEEE DOI
1512
Absorption
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
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
Chen, W.,
Gu, K.,
Lin, W.,
Yuan, F.,
Cheng, E.,
Statistical and Structural Information Backed Full-Reference Quality
Measure of Compressed Sonar Images,
CirSysVideo(30), No. 2, February 2020, pp. 334-348.
IEEE DOI
2002
Sonar measurements, Entropy, Image quality, Image edge detection,
Underwater acoustics, Sonar image, quality evaluation,
human visual system
BibRef
Yang, M.[Miao],
Yin, G.[Ge],
Du, Y.X.[Yi-Xiang],
Wei, Z.Q.[Zhi-Qiang],
Pair comparison based progressive subjective quality ranking for
underwater images,
SP:IC(99), 2021, pp. 116444.
Elsevier DOI
2111
Subjective image quality evaluation, Mean opinion score,
Quality ranking, Underwater image, Image quality database
BibRef
Li, C.Y.[Chong-Yi],
Guo, C.L.[Chun-Le],
Ren, W.Q.[Wen-Qi],
Cong, R.M.[Run-Min],
Hou, J.H.[Jun-Hui],
Kwong, S.[Sam],
Tao, D.C.[Da-Cheng],
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
Jiang, Q.P.[Qiu-Ping],
Gu, Y.[Yuese],
Li, C.Y.[Chong-Yi],
Cong, R.M.[Run-Min],
Shao, F.[Feng],
Underwater Image Enhancement Quality Evaluation: Benchmark Dataset
and Objective Metric,
CirSysVideo(32), No. 9, September 2022, pp. 5959-5974.
IEEE DOI
2209
Measurement, Image quality, Benchmark testing,
Image color analysis, Visualization, Image enhancement, pairwise comparison
See also Benchmark Dataset and Pair-Wise Ranking Method for Quality Evaluation of Night-Time Image Enhancement.
BibRef
Fu, Z.Q.[Zhen-Qi],
Fu, X.Y.[Xue-Yang],
Huang, Y.[Yue],
Ding, X.H.[Xing-Hao],
Twice Mixing: A rank learning based quality assessment approach for
underwater image enhancement,
SP:IC(102), 2022, pp. 116622.
Elsevier DOI
2202
Underwater image, Quality assessment, Mixing, Rank learning, Siamese Network
BibRef
Zheng, Y.N.[Yan-Nan],
Chen, W.L.[Wei-Ling],
Lin, R.F.[Rong-Fu],
Zhao, T.S.[Tie-Song],
Le Callet, P.[Patrick],
UIF: An Objective Quality Assessment for Underwater Image Enhancement,
IP(31), 2022, pp. 5456-5468.
IEEE DOI
2208
Measurement, Indexes, Databases, Image quality, Visualization, Imaging,
Task analysis, Image quality assessment (IQA),
underwater image processing
BibRef
Guo, P.F.[Peng-Fei],
Liu, H.T.[Han-Tao],
Zeng, D.[Delu],
Xiang, T.[Tao],
Li, L.[Leida],
Gu, K.[Ke],
An Underwater Image Quality Assessment Metric,
MultMed(25), 2023, pp. 5093-5106.
IEEE DOI
2311
BibRef
Zhang, S.Q.[Si-Qi],
Li, Y.X.[Yu-Xuan],
Tan, L.[Lu],
Yang, H.[Huan],
Hou, G.J.[Guo-Jia],
A no-reference underwater image quality evaluator via quality-aware
features,
JVCIR(97), 2023, pp. 103979.
Elsevier DOI
2312
Underwater image, No-reference image quality assessment,
Quality-aware features, Gaussian process regression
BibRef
Liu, Y.T.[Yu-Tao],
Gu, K.[Ke],
Cao, J.C.[Jing-Chao],
Wang, S.Q.[Shi-Qi],
Zhai, G.T.[Guang-Tao],
Dong, J.Y.[Jun-Yu],
Kwong, S.[Sam],
UIQI: A Comprehensive Quality Evaluation Index for Underwater Images,
MultMed(26), 2024, pp. 2560-2573.
IEEE DOI
2402
Image quality, Feature extraction, Image color analysis, Indexes,
Predictive models, Colored noise, Visualization, Underwater image,
statistical modeling
BibRef
Liao, H.G.[Hong-Gang],
Jiang, N.F.[Nan-Feng],
Chen, W.L.[Wei-Ling],
Wei, H.A.[Hong-An],
Zhao, T.S.[Tie-Song],
Distillation-Based Utility Assessment for Compacted Underwater
Information,
SPLetters(31), 2024, pp. 481-485.
IEEE DOI
2402
Feature extraction, Image coding, Quality assessment, Databases,
Transform coding, Predictive models, Image quality,
distillation
BibRef
Liu, Y.T.[Yu-Tao],
Zhang, B.[Baochao],
Hu, R.Z.[Run-Ze],
Gu, K.[Ke],
Zhai, G.T.[Guang-Tao],
Dong, J.Y.[Jun-Yu],
Underwater Image Quality Assessment: Benchmark Database and Objective
Method,
MultMed(26), 2024, pp. 7734-7747.
IEEE DOI
2405
Image quality, Databases, Imaging, Image color analysis, Transformers,
Measurement, Degradation, Attention mechanism, underwater image
BibRef
Wang, Z.Y.[Zhe-Yin],
Shen, L.Q.[Li-Quan],
Wang, Z.Y.[Zheng-Yong],
Lin, Y.F.[Yu-Fei],
Jin, Y.L.[Yan-Liang],
Generation-Based Joint Luminance-Chrominance Learning for Underwater
Image Quality Assessment,
CirSysVideo(33), No. 3, March 2023, pp. 1123-1139.
IEEE DOI
2303
Distortion, Image color analysis, Image quality,
Feature extraction, Optical distortion, Image enhancement, Color,
sharpness distortion
BibRef
Yang, X.L.[Xie-Liu],
Li, J.P.[Jian-Ping],
Liang, W.F.[Wen-Feng],
Wang, D.[Dan],
Zhao, J.B.[Jin-Bao],
Xia, X.H.[Xiao-Hua],
Underwater image quality assessment,
JOSA-A(40), No. 7, July 2023, pp. 1276-1288.
DOI Link
2503
Image metrics, Image restoration, Imaging techniques,
Neural networks, Physiology, Underwater imaging
BibRef
Lin, Z.Q.[Zhi-Qiang],
He, Z.[Zhouyan],
Jin, C.[Chongchong],
Luo, T.[Ting],
Chen, Y.[Yeyao],
Joint Luminance-Saliency Prior and Attention for Underwater Image
Quality Assessment,
RS(16), No. 16, 2024, pp. 3021.
DOI Link
2408
BibRef
Jiang, Q.P.[Qiu-Ping],
Yi, X.[Xiao],
Ouyang, L.[Li],
Zhou, J.C.[Jing-Chun],
Wang, Z.H.[Zhi-Hua],
Toward Dimension-Enriched Underwater Image Quality Assessment,
CirSysVideo(35), No. 2, February 2025, pp. 1385-1398.
IEEE DOI Code:
WWW Link.
2502
Image color analysis, Image quality, Measurement,
Benchmark testing, Annotations, Degradation, Feature extraction,
bidirectional feature aggregation
BibRef
Xu, X.Y.[Xiao-Yi],
Cai, H.[Hui],
Wang, M.J.[Ming-Jie],
Chen, W.L.[Wei-Ling],
Zhang, R.X.[Rong-Xin],
Zhao, T.S.[Tie-Song],
Exploring underwater image quality: A review of current methodologies
and emerging trends,
IVC(154), 2025, pp. 105389.
Elsevier DOI
2502
Underwater image quality, Underwater optical image,
Sonar image, Subjective quality assessment, Objective quality assessment
BibRef
Jiang, Q.P.[Qiu-Ping],
Gu, Y.[Yuese],
Wu, Z.W.[Zong-Wei],
Li, C.Y.[Chong-Yi],
Xiong, H.[Huan],
Shao, F.[Feng],
Wang, Z.H.[Zhi-Hua],
Deep Underwater Image Quality Assessment With Explicit Degradation
Awareness Embedding,
IP(34), 2025, pp. 1297-1310.
IEEE DOI Code:
WWW Link.
2503
Degradation, Training, Gray-scale, Image quality, Distortion, Decoding,
Imaging, Image color analysis, Artificial neural networks,
deep learning
BibRef
Chen, T.H.[Tian-Hai],
Yang, X.C.[Xi-Chen],
Wang, T.S.[Tian-Shu],
Li, N.X.[Neng-Xin],
Zhu, S.[Shun],
Shen, X.B.[Xiao-Bo],
Underwater image quality evaluation via deep meta-learning:
Dataset and objective method,
CVIU(257), 2025, pp. 104380.
Elsevier DOI Code:
WWW Link.
2505
Underwater image dataset, Image quality assessment,
Meta-learning, Multi-scale
BibRef
Chen, T.H.[Tian-Hai],
Yang, X.C.[Xi-Chen],
Wang, T.S.[Tian-Shu],
Li, N.X.[Neng-Xin],
Zhu, S.[Shun],
Ji, G.[Genlin],
Underwater image quality assessment method via the fusion of visual
and structural information,
SP:IC(136), 2025, pp. 117285.
Elsevier DOI Code:
WWW Link.
2505
Underwater image, No-reference image quality assessment,
Multipath deep neural network, Visual information, Structural information
BibRef
Zhu, J.J.[Jun-Jie],
Shen, L.Q.[Li-Quan],
Wang, Z.Y.[Zheng-Yong],
Yu, Y.H.[Yi-Han],
Underwater Image Quality Assessment Using Feature Disentanglement and
Dynamic Content-Distortion Guidance,
CirSysVideo(35), No. 6, June 2025, pp. 5602-5616.
IEEE DOI
2506
Distortion, Feature extraction, Image quality,
Heuristic algorithms, Degradation, Standards, Image color analysis,
convolutional neural networks (CNNs)
BibRef
Zhou, J.C.[Jing-Chun],
Liu, C.J.[Chun-Jiang],
Zhang, D.[Dehuan],
He, Z.X.[Zong-Xin],
Sohel, F.[Ferdous],
Jiang, Q.P.[Qiu-Ping],
RSUIA: Dynamic No-Reference Underwater Image Assessment via
Reinforcement Sequences,
MultMed(27), 2025, pp. 3542-3555.
IEEE DOI
2506
Image quality, Image color analysis, Visualization,
Image enhancement, Lighting, Measurement, Feature extraction,
image quality assessment
BibRef
Liu, J.P.[Jia-Peng],
Liu, Y.[Yi],
Jiang, Q.P.[Qiu-Ping],
Delving into Underwater Image Utility: Benchmark Dataset and
Prediction Model,
RS(17), No. 11, 2025, pp. 1906.
DOI Link
2506
BibRef
Zhang, S.Q.[Si-Qi],
Hou, G.J.[Guo-Jia],
Li, K.[Kunqian],
Zhang, W.D.[Wei-Dong],
Yang, H.[Huan],
Pan, Z.K.[Zhen-Kuan],
Toward a blind quality assessment for underwater images,
SP:IC(138), 2025, pp. 117370.
Elsevier DOI Code:
WWW Link.
2509
Underwater image, Multiple features evaluation metric,
Mean opinion score, Feature extraction
BibRef
Neyer, F.,
Nocerino, E.,
Gruen, A.,
Image Quality Improvements in Low-cost Underwater Photogrammetry,
Underwater19(135-142).
DOI Link
1904
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
Fan, F.[Fan],
Yang, K.C.[Ke-Cheng],
Fu, B.[Bo],
Xia, M.[Min],
Zhang, W.[Wei],
Application of blind deconvolution approach with image quality metric
in underwater image restoration,
IASP10(236-239).
IEEE DOI
1004
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Underwater Object Detection .