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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],
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Liu, D.L.[Di-Lin],
Nighttime image enhancement based on image decomposition,
SIViP(13), No. 1, February 2019, pp. 189-197.
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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
Ancuti, C.,
Ancuti, C.O.,
de Vleeschouwer, C.,
Bovik, A.C.,
Day and Night-Time Dehazing by Local Airlight Estimation,
IP(29), 2020, pp. 6264-6275.
IEEE DOI
2005
Local airlight, haze, dehazing, night-time, fusion
BibRef
Tang, Q.F.[Qun-Fang],
Yang, J.[Jie],
He, X.J.[Xiang-Jian],
Jia, W.J.[Wen-Jing],
Zhang, Q.N.[Qing-Nian],
Liu, H.B.[Hai-Bo],
Nighttime image dehazing based on Retinex and dark channel prior
using Taylor series expansion,
CVIU(202), 2021, pp. 103086.
Elsevier DOI
2012
Nighttime image dehazing, Retinex theory,
Taylor series expansion, Image fusion, Color transfer
BibRef
Rao, N.[Ning],
Lu, T.[Tao],
Zhou, Q.[Qiang],
Zhang, Y.D.[Yan-Duo],
Wang, Z.Y.[Zhong-Yuan],
Seeing in the Dark by Component-GAN,
SPLetters(28), 2021, pp. 1250-1254.
IEEE DOI
2107
Image reconstruction, Lighting, Generative adversarial networks,
Visualization, Generators, Image color analysis, Noise reduction,
low-light image
BibRef
Karadeniz, A.S.[Ahmet Serdar],
Erdem, E.[Erkut],
Erdem, A.[Aykut],
Burst Photography for Learning to Enhance Extremely Dark Images,
IP(30), 2021, pp. 9372-9385.
IEEE DOI
2112
Photography, Image color analysis, Pipelines,
Network architecture, Noise measurement,
burst images
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
Anitha, C.,
Kumar, R.M.S.[R. Mathusoothana S.],
GEVE: A generative adversarial network for extremely dark image/video
enhancement,
PRL(155), 2022, pp. 159-164.
Elsevier DOI
2203
Deep learning, Dynamic range, Generative adversarial networks
BibRef
Zhang, M.F.[Ming-Fang],
Zheng, Y.Q.[Yin-Qiang],
Lu, F.[Feng],
Optical Flow in the Dark,
PAMI(44), No. 12, December 2022, pp. 9464-9476.
IEEE DOI
2212
Optical flow, Training, Estimation, Videos, Brightness,
Image motion analysis, Data models, Low-light, optical flow,
semi-supervised learning
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.S.[Wen-Sen],
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, W.J.[Wen-Jing],
Wang, X.H.[Xin-Hao],
Yang, W.H.[Wen-Han],
Liu, J.Y.[Jia-Ying],
Unsupervised Face Detection in the Dark,
PAMI(45), No. 1, January 2023, pp. 1250-1266.
IEEE DOI
2212
Face detection, Face recognition, Lighting, Adaptation models,
Detectors, Annotations, Task analysis, Low-light, domain adaptation,
face detection
BibRef
Zhou, X.[Xiao],
Du, X.[Xiaobiao],
Ru, P.Z.[Pei-Zhe],
Dark light enhancement for dark scene urban object recognition,
IET-IPR(17), No. 7, 2023, pp. 2043-2055.
DOI Link
2305
dark light image enhancement, image restoration, object recognition
BibRef
Dong, K.M.[Kai-Ming],
Guo, Y.C.[Yu-Chen],
Yang, R.Z.[Run-Zhao],
Cheng, Y.X.[Yu-Xiao],
Suo, J.L.[Jin-Li],
Dai, Q.H.[Qiong-Hai],
Retrieving Object Motions From Coded Shutter Snapshot in Dark
Environment,
IP(32), 2023, pp. 3281-3294.
IEEE DOI
2306
Object detection, Imaging, Image reconstruction, Image coding,
Proposals, Feature extraction, Photography, Object detection,
video surveillance
BibRef
Tu, Z.G.[Zhi-Gang],
Liu, Y.Z.[Yuan-Zhong],
Zhang, Y.[Yan],
Mu, Q.Z.[Qi-Zi],
Yuan, J.S.[Jun-Song],
DTCM: Joint Optimization of Dark Enhancement and Action Recognition
in Videos,
IP(32), 2023, pp. 3507-3520.
IEEE DOI
2307
Videos, Representation learning, Image recognition, Task analysis, Pipelines,
Lighting, Visualization, Dark video action recognition, representation learning
BibRef
Chen, W.S.[Wen-Shu],
Huang, Y.J.[Yu-Jie],
Wang, M.Y.[Ming-Yu],
Wu, X.L.[Xiao-Lin],
Zeng, X.Y.[Xiao-Yang],
TSDN: Two-Stage Raw Denoising in the Dark,
IP(32), 2023, pp. 3679-3689.
IEEE DOI
2307
Noise reduction, Image restoration, Noise measurement, Hardware,
Training, Knowledge engineering, Signal to noise ratio,
light-weight network
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
Xie, Z.F.[Zhi-Feng],
Qiu, R.[Rui],
Wang, S.[Sen],
Tan, X.[Xin],
Xie, Y.[Yuan],
Ma, L.Z.[Li-Zhuang],
PIG: Prompt Images Guidance for Night-Time Scene Parsing,
IP(33), 2024, pp. 3921-3934.
IEEE DOI Code:
WWW Link.
2407
Training, Accuracy, Task analysis, Adaptation models, Semantics,
Motion pictures, Knowledge engineering, Night-time vision,
prompt learning
BibRef
Chen, R.Y.[Rui-Ying],
Bo, Y.M.[Yu-Ming],
Wu, P.[Panlong],
Wang, S.[Simiao],
Liu, Y.[Yunan],
Complementary Masked-Guided Meta-Learning for Domain Adaptive
Nighttime Segmentation,
SPLetters(31), 2024, pp. 3010-3014.
IEEE DOI
2411
Metalearning, Adaptation models, Semantic segmentation, Training,
Optimization, Fast Fourier transforms, Semantics, meta-learning
BibRef
Nguyen, T.D.[Thanh-Danh],
Phan, N.[Nguyen],
Nguyen, T.V.[Tam V.],
Nguyen, V.T.[Vinh-Tiep],
Tran, M.T.[Minh-Triet],
Nighttime scene understanding with label transfer scene parser,
IVC(151), 2024, pp. 105257.
Elsevier DOI Code:
WWW Link.
2411
Semantic segmentation, Nighttime scene parser,
Domain adaptation, Generative adversarial network
BibRef
Bernabel, S.A.[Silvano A.],
Agaian, S.S.[Sos S.],
NDELS: A Novel Approach for Nighttime Dehazing, Low-Light
Enhancement, and Light Suppression,
MultMed(26), 2024, pp. 9292-9303.
IEEE DOI
2409
Training, Image color analysis, Lighting, Colored noise,
Image restoration, Image edge detection, Histograms, multiscale retinex
BibRef
Wang, X.J.[Xue-Jin],
Huang, L.L.[Lei-Lei],
Chen, H.W.[Hang-Wei],
Jiang, Q.P.[Qiu-Ping],
Weng, S.W.[Shao-Wei],
Shao, F.[Feng],
Benchmark Dataset and Pair-Wise Ranking Method for Quality Evaluation
of Night-Time Image Enhancement,
MultMed(26), 2024, pp. 9436-9449.
IEEE DOI Code:
WWW Link.
2410
Measurement, Image enhancement, Lighting, Feature extraction,
Image quality, Distortion, Benchmark testing,
pair-wise ranking
See also Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric.
BibRef
Seo, J.[Junghyun],
Wang, S.J.[Sung-Jun],
Jeon, H.[Hyeonjae],
Kim, T.[Taesoo],
Jin, Y.[Yongsik],
Kwon, S.[Soon],
Kim, J.[Jeseok],
Lim, Y.[Yongseob],
LuminanceGAN: Controlling the brightness of generated images for
various night conditions,
PRL(186), 2024, pp. 292-299.
Elsevier DOI
2412
Autonomous driving, Lane detection, Data augmentation,
Image-to-image translation, Day-to-night image translation, Denoising
BibRef
Jiang, B.[Bin],
Xiong, B.[Bo],
Qu, B.[Bohan],
Asif, M.S.[M. Salman],
Zhou, Y.[You],
Ma, Z.[Zhan],
Edformer: Transformer-based Event Denoising Across Varied Noise Levels,
ECCV24(XXVII: 200-216).
Springer DOI
2412
BibRef
Thanh, P.T.H.[Phan Thi Huyen],
Nguyen, T.H.[The Hiep],
Nguyen, M.H.V.[Minh Huy Vu],
Tran, T.T.[Trung Thai],
Pham, T.V.[Tran Vu],
Nguyen, D.D.[Duc Dung],
Duy, T.V.T.[Truong Vinh Truong],
Naotake, N.[Natori],
Depthsegnet24: A Label-free Model for Robust Day-night Depth and
Semantics,
ACCV24(VII: 38-55).
Springer DOI
2412
BibRef
Li, Y.[Yunan],
Zhang, Y.H.[Yi-Hao],
Li, S.[Shoude],
Tian, L.[Long],
Quan, D.[Dou],
Li, C.[Chaoneng],
Miao, Q.G.[Qi-Guang],
Watching it in Dark: A Target-aware Representation Learning Framework
for High-level Vision Tasks in Low Illumination,
ECCV24(LXXV: 37-53).
Springer DOI
2412
BibRef
Pan, Y.[Yuwen],
Sun, R.[Rui],
Luo, N.[Naisong],
Zhang, T.Z.[Tian-Zhu],
Zhang, Y.D.[Yong-Dong],
Exploring Reliable Matching with Phase Enhancement for Night-time
Semantic Segmentation,
ECCV24(LIII: 408-424).
Springer DOI
2412
BibRef
Du, Z.P.[Zhi-Peng],
Shit, M.J.[Miao-Jing],
Deng, J.K.[Jian-Kang],
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation,
CVPR24(12666-12676)
IEEE DOI Code:
WWW Link.
2410
Reflectivity, Representation learning, Degradation,
Face recognition, Lighting, Object detection, Detectors,
Low-light Vision
BibRef
Li, J.L.[Jin-Long],
Li, B.[Baolu],
Tu, Z.Z.[Zheng-Zhong],
Liu, X.Y.[Xin-Yu],
Guo, Q.[Qing],
Juefei-Xu, F.[Felix],
Xu, R.S.[Run-Sheng],
Yu, H.K.[Hong-Kai],
Light the Night: A Multi-Condition Diffusion Framework for Unpaired
Low-Light Enhancement in Autonomous Driving,
CVPR24(15205-15215)
IEEE DOI
2410
Image quality, Degradation, Adaptation models, Visualization,
Vehicle detection, Reinforcement learning
BibRef
Liu, H.Y.[Hao-Yue],
Peng, S.[Shihan],
Zhu, L.[Lin],
Chang, Y.[Yi],
Zhou, H.Y.[Han-Yu],
Yan, L.X.[Lu-Xin],
Seeing Motion at Nighttime with an Event Camera,
CVPR24(25648-25658)
IEEE DOI Code:
WWW Link.
2410
Visualization, Dynamics, Lighting, Dynamic range, Cameras,
Spatiotemporal phenomena, event camera, nighttime imaging
BibRef
Dai, Y.[Yuekun],
Zhang, D.[Dafeng],
Li, X.M.[Xiao-Ming],
Yue, Z.S.[Zong-Sheng],
Li, C.Y.[Chong-Yi],
Zhou, S.[Shangchen],
Feng, R.C.[Rui-Cheng],
Yang, P.Q.[Pei-Qing],
Jin, Z.[Zhezhu],
Liu, G.Q.[Guan-Qun],
Loy, C.C.[Chen Change],
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results,
MIPI24(1144-1152)
IEEE DOI Code:
WWW Link.
2410
Photography, Image sensors, Industries, Reviews, Focusing,
flare removal, image restoration
BibRef
Ershov, E.[Egor],
Panshin, A.[Artyom],
Karasev, O.[Oleg],
Korchagin, S.[Sergey],
Lev, S.[Shepelev],
Startsev, A.[Alexandr],
Vladimirov, D.[Daniil],
Zaychenkova, E.[Ekaterina],
Banic, N.[Nikola],
Iarchuk, D.R.[Dmitrii R.],
Efimova, M.[Maria],
Timofte, R.[Radu],
Terekhin, A.[Arseniy],
NTIRE 2024 Challenge on Night Photography Rendering,
NTIRE24(6702-6711)
IEEE DOI Code:
WWW Link.
2410
Photography, Visualization, Reviews, Rendering (computer graphics), Cameras
BibRef
Dong, X.Y.[Xiao-Yu],
Yokoya, N.[Naoto],
Understanding Dark Scenes by Contrasting Multi-Modal Observations,
WACV24(829-839)
IEEE DOI Code:
WWW Link.
2404
Correlation, Codes, Semantic segmentation, Semantics,
Self-supervised learning, Task analysis, Algorithms,
Vision + language and/or other modalities
BibRef
Jin, X.[Xin],
Xiao, J.W.[Jia-Wen],
Han, L.H.[Ling-Hao],
Guo, C.L.[Chun-Le],
Zhang, R.X.[Rui-Xun],
Liu, X.L.[Xia-Lei],
Li, C.Y.[Chong-Yi],
Lighting Every Darkness in Two Pairs:
A Calibration-Free Pipeline for RAW Denoising,
ICCV23(13229-13238)
IEEE DOI
2401
BibRef
Niu, M.[Muyao],
Li, Z.X.[Zhuo-Xiao],
Zhong, Z.H.[Zhi-Hang],
Zheng, Y.Q.[Yin-Qiang],
Visibility Constrained Wide-Band Illumination Spectrum Design for
Seeing-in-the-Dark,
CVPR23(13976-13985)
IEEE DOI
2309
BibRef
Jin, X.[Xin],
Han, L.H.[Ling-Hao],
Li, Z.[Zhen],
Guo, C.L.[Chun-Le],
Chai, Z.[Zhi],
Li, C.Y.[Chong-Yi],
DNF: Decouple and Feedback Network for Seeing in the Dark,
CVPR23(18135-18144)
IEEE DOI
2309
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
Zheng, R.H.[Ruo-Hui],
Tan, L.[Lin],
Zhang, L.[Libao],
Nighttime Haze Removal with Spatially Variant Ambient Light and
Saliency-Weighted Fused Transmission,
ICIP23(3528-3532)
IEEE DOI
2312
BibRef
Tan, L.[Lin],
Wang, S.[Shan],
Zhang, L.[Libao],
Nighttime Haze Removal Using Saliency-Oriented Ambient Light and
Transmission Estimation,
ICIP21(1764-1768)
IEEE DOI
2201
Image color analysis, Lighting, Imaging, Estimation,
Channel estimation, Filtering algorithms, Nighttime haze removal,
fused ambient light
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
Liu, X.N.[Xiao-Ning],
Wu, Z.[Zongwei],
Li, A.[Ao],
Vasluianu, F.A.[Florin-Alexandru],
Zhang, Y.[Yulun],
Gu, S.[Shuhang],
Zhang, L.[Le],
Zhu, C.[Ce],
Timofte, R.[Radu],
Jin, Z.[Zhi],
Wu, H.J.[Hong-Jun],
Wang, C.X.[Chen-Xi],
Ling, H.T.[Hai-Tao],
Cai, Y.H.[Yuan-Hao],
Bian, H.[Hao],
Zheng, Y.X.[Yu-Xin],
Lin, J.[Jing],
Yuille, A.[Alan],
Shao, B.[Ben],
Guo, J.[Jin],
Liu, T.[Tianli],
Wu, M.[Mohao],
Feng, Y.X.[Yi-Xu],
Hou, S.[Shuo],
Lin, H.T.[Hao-Tian],
Zhu, Y.[Yu],
Wu, P.[Peng],
Dong, W.[Wei],
Sun, J.Q.[Jin-Qiu],
Zhang, Y.N.[Yan-Ning],
Yan, Q.[Qingsen],
Zou, W.B.[Wen-Bin],
Yang, W.P.[Wei-Peng],
Li, Y.[Yunxiang],
Wei, Q.[Qiaomu],
Ye, T.[Tian],
Chen, S.[Sixiang],
Zhang, Z.[Zhao],
Zhao, S.[Suiyi],
Wang, B.[Bo],
Luo, Y.[Yan],
Zuo, Z.C.[Zhi-Chao],
Wang, M.[Mingshen],
Wang, J.[Junhu],
Wei, Y.Y.[Yan-Yan],
Sun, X.P.[Xiao-Peng],
Gao, Y.[Yu],
Huang, J.C.[Jian-Cheng],
Chen, H.M.[Hong-Ming],
Chen, X.[Xiang],
Tang, H.[Hui],
Chen, Y.[Yuanbin],
Zhou, Y.B.[Yuan-Bo],
Dai, X.W.[Xin-Wei],
Qiu, X.[Xintao],
Deng, W.[Wei],
Gao, Q.[Qinquan],
Tong, T.[Tong],
Li, M.J.[Ming-Jia],
Hu, J.[Jin],
He, X.Y.[Xin-Yu],
Guo, X.J.[Xiao-Jie],
Sabarinathan, S.[Sabarinathan],
Uma, K.,
Sasithradevi, A.,
Bama, B.S.[B. Sathya],
Roomi, S.M.M.[S. Mohamed Mansoor],
Srivatsav, V.,
Wang, J.[Jinjuan],
Sun, L.[Long],
Chen, Q.Y.[Qiu-Ying],
Shao, J.H.[Jia-Hong],
Zhang, Y.Z.[Yi-Zhi],
Conde, M.V.[Marcos V.],
Feijoo, D.[Daniel],
Benito, J.C.[Juan C.],
García, A.[Alvaro],
Lee, J.[Jaeho],
Kim, S.[Seongwan],
Sharif, S.M.A.,
Khujaev, N.[Nodirkhuja],
Tsoy, R.[Roman],
Murtaza, A.[Ali],
Khairuddin, U.[Uswah],
Faudzi, A.A.M.[Ahmad Athif Mohd],
Malagi, S.[Sampada],
Joshi, A.[Amogh],
Akalwadi, N.[Nikhil],
Desai, C.[Chaitra],
Tabib, R.A.[Ramesh Ashok],
Mudenagudi, U.[Uma],
Lian, W.[Wenyi],
Lian, W.J.[Wen-Jing],
Kalyanshetti, J.[Jagadeesh],
Aralikatti, V.A.[Vijayalaxmi Ashok],
Yashaswini, P.[Palani],
Upasi, N.[Nitish],
Hegde, D.[Dikshit],
Patil, U.[Ujwala],
Sujata, C.,
Yan, X.Z.[Xing-Zhuo],
Hao, W.[Wei],
Fu, M.H.[Ming-Han],
Choksy, P.[Pooja],
Sarvaiya, A.[Anjali],
Upla, K.[Kishor],
Raja, K.[Kiran],
Yan, H.L.[Hai-Long],
Zhang, Y.K.[Yun-Kai],
Li, B.[Baiang],
Zhang, J.Y.[Jing-Yi],
Zheng, H.[Huan],
NTIRE 2024 Challenge on Low Light Image Enhancement:
Methods and Results,
CVPRWS24(6571-6594)
IEEE DOI
2410
Image resolution, Reviews, Lighting,
Image enhancement, low light image enhancement,
ultra-high resolution
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Shutova, A.[Alina],
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NTIRE22(1210-1219)
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Photography, Training, Visualization, Image color analysis,
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WWW Link. Manifolds, Visualization, Computational modeling,
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IEEE DOI
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Training, Photography, Sensitivity, Modulation, Prototypes, Cameras,
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Photography, Visualization, Image color analysis, Noise reduction,
Lighting, Rendering (computer graphics), Surface texture
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CVPR21(3486-3496)
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Training, Deep learning, Image resolution, Computational modeling,
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VCIP20(507-510)
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Training, Lighting, Image color analysis, Feature extraction,
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image classification, image representation, image resolution,
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Atmospheric modeling, Attenuation, Image color analysis, Imaging,
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ICPR16(1406-1411)
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Aerosols, Atmospheric modeling, Computational modeling,
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daytime, image dehazing, night-time
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ICIP16(2256-2260)
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VCIP16(1-4)
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ICIP14(4557-4561)
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Atmospheric modeling
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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Sharpening, Unsharp Masking .