5.6.3.2 Night Time Processing

Chapter Contents (Back)
Night Time. Low Light. Enhancement. For general urban area determination:
See also Night Time Image Analysis for Urban Area Detection, Change and Growth.

Soumya, T., Thampi, S.M.[Sabu M.],
Self-organized night video enhancement for surveillance systems,
SIViP(11), No. 1, January 2017, pp. 57-64.
WWW Link. 1702
BibRef

Jiang, X.S.[Xue-Song], Yao, H.X.[Hong-Xun], Liu, D.L.[Di-Lin],
Nighttime image enhancement based on image decomposition,
SIViP(13), No. 1, February 2019, pp. 189-197.
WWW Link. 1901
BibRef

Xiang, T., Yang, Y., Guo, S.,
Blind Night-Time Image Quality Assessment: Subjective and Objective Approaches,
MultMed(22), No. 5, May 2020, pp. 1259-1272.
IEEE DOI 2005
Measurement, Distortion, Feature extraction, Image quality, Visualization, Image databases, Blind image quality assessment, gray-level co-occurrence matrix BibRef

Zhu, Z., Meng, Y., Kong, D., Zhang, X., Guo, Y., Zhao, Y.,
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene,
CirSysVideo(31), No. 2, February 2021, pp. 492-502.
IEEE DOI 2102
Lighting, Training, Surveillance, Image enhancement, Generators, Integrated circuit modeling, GAN, background model, Bayes theory BibRef

He, L.[Lei], Long, W.[Wei], Liu, S.X.[Shou-Xin], Li, Y.Y.[Yan-Yan], Ding, W.[Wei],
A night low-illumination image enhancement model based on small probability area filtering and lossless mapping enhancement,
IET-IPR(15), No. 13, 2021, pp. 3221-3238.
DOI Link 2110
BibRef

Hu, Y.[Yang], Chen, J.[Jin], Cao, X.[Xin], Chen, X.H.[Xue-Hong], Cui, X.[Xihong], Gan, L.[Liqin],
Correcting the Saturation Effect in DMSP/OLS Stable Nighttime Light Products Based on Radiance-Calibrated Data,
GeoRS(60), 2022, pp. 1-11.
IEEE DOI 2112
Urban areas, Indexes, Data models, Vegetation mapping, Sensors, Satellite broadcasting, Calibration, stable light BibRef

Fu, L.[Lan], Yu, H.K.[Hong-Kai], Juefei-Xu, F.[Felix], Li, J.L.[Jin-Long], Guo, Q.[Qing], Wang, S.[Song],
Let There Be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer,
CirSysVideo(32), No. 12, December 2022, pp. 8217-8226.
IEEE DOI 2212
Object detection, Predictive models, Task analysis, Adaptation models, Vehicle detection, kernel prediction network BibRef

Zhang, J.[Jing], Li, D.[Dan], Li, H.A.[Hong-An], Li, X.W.[Xue-Wen], Zhang, L.Z.[Li-Zhi],
A Night Image Enhancement Algorithm Based on MDIFE-Net Curve Estimation,
IEICE(E106-D), No. 2, February 2023, pp. 229-239.
WWW Link. 2302
BibRef

Fan, B.[Bin], Yang, Y.Z.[Yu-Zhu], Feng, W.[Wensen], Wu, F.C.[Fu-Chao], Lu, J.W.[Ji-Wen], Liu, H.M.[Hong-Min],
Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features,
MultMed(25), 2023, pp. 1713-1726.
IEEE DOI 2306
Feature extraction, Location awareness, Visualization, Image matching, Task analysis, Lighting, weakly supervised learning BibRef

Yang, Y.[Ying], Xiang, T.[Tao], Guo, S.[Shangwei], Lv, X.[Xiao], Liu, H.T.[Han-Tao], Liao, X.F.[Xiao-Feng],
EHNQ: Subjective and Objective Quality Evaluation of Enhanced Night-Time Images,
CirSysVideo(33), No. 9, September 2023, pp. 4645-4659.
IEEE DOI Code:
WWW Link. 2310
BibRef

Liu, W.Y.[Wen-Yu], Li, W.[Wentong], Zhu, J.[Jianke], Cui, M.M.[Miao-Miao], Xie, X.[Xuansong], Zhang, L.[Lei],
Improving Nighttime Driving-Scene Segmentation via Dual Image-Adaptive Learnable Filters,
CirSysVideo(33), No. 10, October 2023, pp. 5855-5867.
IEEE DOI Code:
WWW Link. 2310
BibRef

Hu, C.H.[Chang-Hui], Xu, L.T.[Lin-Tao], Guo, Y.Y.[Yan-Yong], Jing, X.Y.[Xiao-Yuan], Lu, X.B.[Xiao-Bo], Liu, P.[Pan],
HSV-3S and 2D-GDA for High-Saturation Low-Light Image Enhancement in Night Traffic Monitoring,
ITS(24), No. 12, December 2023, pp. 15190-15206.
IEEE DOI 2312
BibRef

Wang, Y.H.[Yue-Hang], Zhang, Y.J.[Yong-Ji], Guo, Q.R.[Qian-Ren], Zhao, M.H.[Ming-Hao], Jiang, Y.[Yu],
RNVE: A Real Nighttime Vision Enhancement Benchmark and Dual-Stream Fusion Network,
SPLetters(31), 2024, pp. 131-135.
IEEE DOI 2401
BibRef

Shi, J.L.[Jiang-Li], Shao, F.[Feng], Tian, C.Z.[Chong-Zhen], Chen, H.W.[Hang-Wei], Xu, L.[Long], Ho, Y.S.[Yo-Sung],
Progressive Bidirectional Feature Extraction and Enhancement Network for Quality Evaluation of Night-Time Images,
MultMed(26), 2024, pp. 1690-1705.
IEEE DOI 2402
Lighting, Feature extraction, Degradation, Image resolution, Reflectivity, Artificial neural networks, Visualization, night-time image BibRef

Górniak-Zimroz, J.[Justyna], Romanczukiewicz, K.[Kinga], Sitarska, M.[Magdalena], Szrek, A.[Aleksandra],
Light-Pollution-Monitoring Method for Selected Environmental and Social Elements,
RS(16), No. 5, 2024, pp. 774.
DOI Link 2403
BibRef

Zhang, X.[Xian], Li, Y.F.[Yan-Feng], Zhang, H.[Hanyue],
Forest nighttime image enhancement based on improved SCI light estimation and reflection optimization,
IET-IPR(18), No. 4, 2024, pp. 1028-1041.
DOI Link 2403
computer graphic, computer vision BibRef


Zini, S.[Simone], Rota, C.[Claudio], Buzzelli, M.[Marco], Bianco, S.[Simone], Schettini, R.[Raimondo],
Shallow Camera Pipeline for Night Photography Enhancement,
CIAP23(I:51-61).
Springer DOI 2312
BibRef

Fan, Z.T.[Zhen-Tao], Wu, X.[Xianhao], Chen, X.[Xiang], Li, Y.F.[Yu-Feng],
Learning to See in Nighttime Driving Scenes with Inter-frequency Priors,
UG23(4218-4225)
IEEE DOI 2309
BibRef

Zini, S.[Simone], Rota, C.[Claudio], Buzzelli, M.[Marco], Bianco, S.[Simone], Schettini, R.[Raimondo],
Back to the future: a night photography rendering ISP without deep learning,
NTIRE23(1465-1473)
IEEE DOI 2309
BibRef

Sakaino, H.[Hidetomo],
PanopticVis: Integrated Panoptic Segmentation for Visibility Estimation at Twilight and Night,
VOCVALC23(3385-3398)
IEEE DOI 2309
BibRef

Shutova, A.[Alina], Ershov, E.[Egor], Perevozchikov, G.[Georgy], Ermakov, I.[Ivan], Banic, N.[Nikola], Timofte, R.[Radu], Collins, R.[Richard], Efimova, M.[Maria], Terekhin, A.[Arseniy], Zini, S.[Simone], Rota, C.[Claudio], Buzzelli, M.[Marco], Bianco, S.[Simone], Schettini, R.[Raimondo], Lei, C.X.[Chun-Xia], Wang, T.[Tingniao], Wang, S.[Song], Liu, S.[Shuai], Feng, C.[Chaoyu], Shao, G.Q.[Guang-Qi], Wang, H.[Hao], Wang, X.T.[Xiao-Tao], Lei, L.[Lei], Xu, L.[Lu], Zhang, C.[Chao], Wang, Y.[Yasi], Guo, J.[Jin], Sun, Y.F.[Yang-Fan], Liu, T.[Tianli], Hao, D.J.[De-Jun], Kinli, F.[Furkan], Özcan, B.[Baris], Kiraç, F.[Furkan], Chung, H.[Hyerin], Lee, N.[Nakyung], Kwak, S.K.[Sung Keun], Conde, M.[Marcos], Seizinger, T.[Tim], Vasluianu, F.[Florin], Elezabi, O.[Omar], Hsieh, C.H.[Chia-Hsuan], Chen, W.T.[Wei-Ting], Yang, H.H.[Hao-Hsiang], Huang, Z.K.[Zhi-Kai], Chang, H.E.[Hua-En], Chen, I.H.[I-Hsiang], Chen, Y.C.[Yi-Chung], Chiang, Y.C.[Yuan-Chun],
NTIRE 2023 Challenge on Night Photography Rendering,
NTIRE23(1982-1993)
IEEE DOI 2309
BibRef

Zhao, Y.Z.[Yu-Zhi], Xu, Y.Z.[Yong-Zhe], Yan, Q.[Qiong], Yang, D.D.[Ding-Dong], Wang, X.H.[Xue-Hui], Po, L.M.[Lai-Man],
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration,
ECCV22(VII:91-110).
Springer DOI 2211
BibRef

Jin, Y.Y.[Ye-Ying], Yang, W.H.[Wen-Han], Tan, R.T.[Robby T.],
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression,
ECCV22(XXXVII:404-421).
Springer DOI 2211
BibRef

Liu, S.[Shuai], Feng, C.[Chaoyu], Wang, X.T.[Xiao-Tao], Wang, H.[Hao], Zhu, R.[Ran], Li, Y.Q.[Yong-Qiang], Lei, L.[Lei],
Deep-FlexISP: A Three-Stage Framework for Night Photography Rendering,
NTIRE22(1210-1219)
IEEE DOI 2210
Photography, Image color analysis, Brightness, Noise reduction, Rendering (computer graphics), Pattern recognition, Task analysis BibRef

Deng, X.Q.[Xue-Qing], Wang, P.[Peng], Lian, X.C.[Xiao-Chen], Newsam, S.[Shawn],
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night,
CVPR22(16917-16927)
IEEE DOI 2210
Deep learning, Image segmentation, Adaptation models, Visualization, Image analysis, Semantics, Scene analysis and understanding BibRef

Li, Z.H.[Zhi-Hao], Yi, S.[Si], Ma, Z.[Zhan],
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation,
NTIRE22(896-904)
IEEE DOI 2210
Photography, Training, Visualization, Image color analysis, Brightness, Pipelines, Lighting BibRef

Wang, K.[Kun], Zhang, Z.Y.[Zhen-Yu], Yan, Z.Q.[Zhi-Qiang], Li, X.[Xiang], Xu, B.[Baobei], Li, J.[Jun], Yang, J.[Jian],
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark,
ICCV21(16035-16044)
IEEE DOI 2203
Training, Codes, Annotations, Brightness, Estimation, Lighting, Scene analysis and understanding, Vision for robotics and autonomous vehicles BibRef

Li, C.X.[Cheng-Xi], Qu, X.Y.[Xiang-Yu], Gnanasambandam, A.[Abhiram], Elgendy, O.A.[Omar A.], Ma, J.J.[Jia-Ju], Chan, S.H.[Stanley H.],
Photon-Limited Object Detection using Non-local Feature Matching and Knowledge Distillation,
LCI21(3959-3970)
IEEE DOI 2112
Performance evaluation, Night vision, Surveillance, Microscopy, Object detection, Detectors, Feature extraction BibRef

Sharma, A.[Aashish], Tan, R.T.[Robby T.],
Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects,
CVPR21(11972-11981)
IEEE DOI 2111
Dynamic range, Semisupervised learning, Cameras, Pattern recognition, Low-frequency noise BibRef

Zhou, Y., Wang, R., Zhao, Y.,
A night-time outdoor data set for low-light enhancement,
VCIP20(507-510)
IEEE DOI 2102
Training, Lighting, Image color analysis, Feature extraction, Dynamic range, Task analysis, Image enhancement, data set BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Sharpening, Unsharp Masking .


Last update:Apr 18, 2024 at 11:38:49