Dhara, S.K.[Sobhan Kanti],
Sen, D.[Debashis],
Exposedness-Based Noise-Suppressing Low-Light Image Enhancement,
CirSysVideo(32), No. 6, June 2022, pp. 3438-3451.
IEEE DOI
2206
Lighting, Image enhancement, Estimation, Computational modeling,
Atmospheric modeling, Noise reduction, Light scattering,
noise suppression
BibRef
Peng, B.[Bo],
Zhang, X.Y.[Xuan-Yu],
Lei, J.J.[Jian-Jun],
Zhang, Z.[Zhe],
Ling, N.[Nam],
Huang, Q.M.[Qing-Ming],
LVE-S2D: Low-Light Video Enhancement From Static to Dynamic,
CirSysVideo(32), No. 12, December 2022, pp. 8342-8352.
IEEE DOI
2212
Image enhancement, Video sequences, Training, Task analysis,
Histograms, Correlation, Lighting, Low-light video enhancement, deep learning
BibRef
Shi, B.Q.[Bao-Qiang],
Jia, Z.H.[Zhen-Hong],
Yang, J.[Jie],
Kasabov, N.K.[Nikola K.],
Unsupervised Change Detection in Wide-Field Video Images Under Low
Illumination,
CirSysVideo(33), No. 4, April 2023, pp. 1564-1576.
IEEE DOI
2304
Lighting, Surveillance, Clustering algorithms, Speckle,
Remote sensing, Transforms, Wide field of view, difference image
BibRef
Lv, X.Q.[Xiao-Qian],
Zhang, S.P.[Sheng-Ping],
Wang, C.Y.[Chen-Yang],
Zhang, W.G.[Wei-Gang],
Yao, H.X.[Hong-Xun],
Huang, Q.M.[Qing-Ming],
Unsupervised Low-Light Video Enhancement With Spatial-Temporal
Co-Attention Transformer,
IP(32), 2023, pp. 4701-4715.
IEEE DOI
2309
BibRef
Ye, J.[Jing],
Qiu, C.Z.[Chang-Zhen],
Zhang, Z.Y.[Zhi-Yong],
SNR-Prior Guided Trajectory-Aware Transformer for Low-Light Video
Enhancement,
CirSysVideo(34), No. 3, March 2024, pp. 1873-1885.
IEEE DOI
2403
Transformers, Signal to noise ratio, Lighting,
Image reconstruction, Image enhancement, Video sequences, deep learning
BibRef
Zhu, L.Y.[Ling-Yu],
Yang, W.H.[Wen-Han],
Chen, B.L.[Bao-Liang],
Zhu, H.W.[Han-Wei],
Meng, X.D.[Xian-Dong],
Wang, S.Q.[Shi-Qi],
Temporally Consistent Enhancement of Low-Light Videos via
Spatial-Temporal Compatible Learning,
IJCV(132), No. 10, October 2024, pp. 4703-4723.
Springer DOI
2410
BibRef
Zhu, L.Y.[Ling-Yu],
Yang, W.H.[Wen-Han],
Chen, B.L.[Bao-Liang],
Zhu, H.W.[Han-Wei],
Ni, Z.K.[Zhang-Kai],
Mao, Q.[Qi],
Wang, S.Q.[Shi-Qi],
Unrolled Decomposed Unpaired Learning for Controllable Low-light Video
Enhancement,
ECCV24(XXIII: 329-347).
Springer DOI
2412
BibRef
Rota, C.[Claudio],
Buzzelli, M.[Marco],
Bianco, S.[Simone],
Schettini, R.[Raimondo],
A RNN for Temporal Consistency in Low-Light Videos Enhanced by
Single-Frame Methods,
SPLetters(31), 2024, pp. 2795-2799.
IEEE DOI
2410
Videos, Optical flow, Recurrent neural networks, Optical losses, Dynamics,
Training, Loss measurement, Image enhancement, Feeds, video processing
BibRef
Wu, Z.[Zhe],
Sheng, Z.[Zehua],
Zhang, X.[Xue],
Cao, S.Y.[Si-Yuan],
Zhang, R.M.[Run-Min],
Yu, B.N.[Bei-Nan],
Zhang, C.H.[Cheng-Hao],
Yang, B.[Bailin],
Shen, H.L.[Hui-Liang],
STARNet: Low-light video enhancement using spatio-temporal
consistency aggregation,
PR(160), 2025, pp. 111180.
Elsevier DOI
2501
Low-light enhancement, Video enhancement, Spatio-temporal aggregation
BibRef
Lin, Y.Q.[Ying-Qi],
Xu, X.G.[Xiao-Gang],
Wu, J.[Jiafei],
Han, Y.[Yan],
Liu, Z.[Zhe],
Geometric-Aware Low-Light Image and Video Enhancement via Depth
Guidance,
IP(34), 2025, pp. 5442-5457.
IEEE DOI Code:
WWW Link.
2509
Feature extraction, Videos, Image restoration,
Signal to noise ratio, Training, Lighting, Depth measurement,
cross-domain attention
BibRef
Xu, X.G.[Xiao-Gang],
Wang, R.X.[Rui-Xing],
Fu, C.W.[Chi-Wing],
Jia, J.Y.[Jia-Ya],
SNR-Aware Low-light Image Enhancement,
CVPR22(17693-17703)
IEEE DOI
2210
Photography, Convolutional codes, Convolution, Semantics,
Transformers, Noise measurement, Low-level vision
BibRef
Xu, X.G.[Xiao-Gang],
Wang, R.X.[Rui-Xing],
Lu, J.B.[Jiang-Bo],
Low-Light Image Enhancement via Structure Modeling and Guidance,
CVPR23(9893-9903)
IEEE DOI
2309
BibRef
Wang, J.X.[Jia-Xuan],
Fu, H.Y.[Hui-Yuan],
Zheng, W.K.[Wen-Kai],
Wang, X.[Xicong],
Wang, X.[Xin],
Zhang, H.[Heng],
Ma, H.D.[Hua-Dong],
Rethinking the Low-Light Video Enhancement:
Benchmark Datasets and Methods,
IP(34), 2025, pp. 6799-6812.
IEEE DOI Code:
WWW Link.
2511
Videos, Cameras, Lighting, Brightness, Training, Visualization,
Telecommunications, Synthetic data, Signal generators,
low-light video dataset
BibRef
Im, Y.[Yeongje],
Pak, J.[Jione],
Na, S.[Songju],
Park, J.H.[Jin-Hong],
Ryu, J.[Jihyung],
Moon, S.[Seounghyun],
Koo, B.[Beomjun],
Kang, S.J.[Suk-Ju],
Supervised Denoising for Extreme Low-Light Raw Videos,
CirSysVideo(35), No. 11, November 2025, pp. 10693-10704.
IEEE DOI
2511
Videos, Noise reduction, Noise, Noise measurement, Dynamics, Training,
Lighting, Gain, Pipelines, Image denoising, Video denoising,
deep neural network
BibRef
Chen, K.H.[Kang-Hao],
Liang, G.Q.[Guo-Qiang],
Lu, Y.F.[Yun-Fan],
Li, H.[Hangyu],
Wang, L.[Lin],
EvLight++: Low-Light Video Enhancement With an Event Camera: A
Large-Scale Real-World Dataset, Novel Method, and More,
PAMI(48), No. 2, February 2026, pp. 1608-1625.
IEEE DOI
2601
Cameras, Videos, Semantic segmentation, Depth measurement,
Feature extraction, Signal to noise ratio, Lighting, Semantics,
downstream applications
BibRef
Lin, R.R.[Rui-Rui],
Anantrasirichai, N.[Nantheera],
Malyugina, A.[Alexandra],
Bull, D.[David],
A Spatio-Temporal Aligned SUNet Model for Low-Light Video Enhancement,
ICIP24(1480-1486)
IEEE DOI
2411
Adaptation models, Visualization, Correlation,
Computational modeling, Transformers, Distortion, Low-light, Restoration
BibRef
Zhang, G.C.[Geng-Chen],
Zhang, Y.[Yulun],
Yuan, X.[Xin],
Fu, Y.[Ying],
Binarized Low-Light Raw Video Enhancement,
CVPR24(25753-25762)
IEEE DOI Code:
WWW Link.
2410
Convolutional codes, Performance evaluation, Degradation, Fuses,
Computational modeling, Noise reduction, Memory management,
Binary neural network
BibRef
Jiang, H.Y.[Hai-Yang],
Zhong, Z.H.[Zhi-Hang],
Zheng, Y.Q.[Yin-Qiang],
Gain-first or Exposure-first: Benchmark for Better Low-light Video
Photography and Enhancement,
PBDL24(1345-1356)
IEEE DOI
2410
Photography, Optical design, Ultraviolet sources,
Optical recording, Noise, Benchmark testing, Cameras, low-light,
video enhancement
BibRef
Liang, J.X.[Jin-Xiu],
Yang, Y.X.[Yi-Xin],
Li, B.[Boyu],
Duan, P.Q.[Pei-Qi],
Xu, Y.[Yong],
Shi, B.X.[Bo-Xin],
Coherent Event Guided Low-Light Video Enhancement,
ICCV23(10581-10591)
IEEE DOI
2401
BibRef
Fu, H.Y.[Hui-Yuan],
Zheng, W.K.[Wen-Kai],
Wang, X.[Xicong],
Wang, J.X.[Jia-Xuan],
Zhang, H.[Heng],
Ma, H.D.[Hua-Dong],
Dancing in the Dark:
A Benchmark towards General Low-light Video Enhancement,
ICCV23(12831-12840)
IEEE DOI Code:
WWW Link.
2401
BibRef
Monakhova, K.[Kristina],
Richter, S.R.[Stephan R.],
Waller, L.[Laura],
Koltun, V.[Vladlen],
Dancing under the stars: video denoising in starlight,
CVPR22(16220-16230)
IEEE DOI
2210
Semiconductor device modeling, Noise reduction, Lighting, Stars,
Cameras, Quality assessment,
Physics-based vision and shape-from-X
BibRef
Zhang, F.[Fan],
Li, Y.[Yu],
You, S.D.[Shao-Di],
Fu, Y.[Ying],
Learning Temporal Consistency for Low Light Video Enhancement from
Single Images,
CVPR21(4965-4974)
IEEE DOI
2111
Training, Computational modeling, Video sequences,
Stability analysis, Planning
BibRef
Wang, L.W.[Li-Wen],
Siu, W.C.[Wan-Chi],
Liu, Z.S.[Zhi-Song],
Li, C.T.[Chu-Tak],
Lun, D.P.K.[Daniel Pak-Kong],
Video Lightening with Dedicated CNN Architecture,
ICPR21(6447-6454)
IEEE DOI
2105
Measurement, Legged locomotion, Visualization, Uncertainty, Roads,
Transfer learning, Lighting, Low-light video enhancement, deep learning
BibRef
Triantafyllidou, D.[Danai],
Moran, S.[Sean],
McDonagh, S.[Steven],
Parisot, S.[Sarah],
Slabaugh, G.[Gregory],
Low Light Video Enhancement Using Synthetic Data Produced with an
Intermediate Domain Mapping,
ECCV20(XIII:103-119).
Springer DOI
2011
BibRef
Wang, W.,
Chen, X.,
Yang, C.,
Li, X.,
Hu, X.,
Yue, T.,
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise,
ICCV19(4110-4118)
IEEE DOI
2004
cameras, image capture, image denoising, image enhancement,
recurrent neural nets, video signal processing, digital cameras,
Gaussian distribution
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Low Light Color Enhancement .