5.6.3.1.2 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.
See also Haze, Dehazing.

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

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


Cong, X.F.[Xiao-Feng], Gui, J.[Jie], Zhang, J.[Jing], Hou, J.M.[Jun-Ming], Shen, H.[Hao],
A Semi-Supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint,
CVPR24(2631-2640)
IEEE DOI Code:
WWW Link. 2410
Training, Filtering, Frequency-domain analysis, Source coding, Brightness, Noise, Lighting, Nighttime Dehazing, Image Dehazing, Realistic Illumination 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 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), Task analysis BibRef

Dutta, U.K.[Ujjal Kr],
Seeing Objects in Dark with Continual Contrastive Learning,
DSC22(286-302).
Springer DOI 2304
BibRef

Sun, Z.H.[Zhang-Hao], Wang, J.[Jian], Wu, Y.C.[Yi-Cheng], Nayar, S.[Shree],
Seeing Far in the Dark with Patterned Flash,
ECCV22(VI:709-727).
Springer DOI 2211
BibRef

Lv, X.Q.[Xiao-Qian], Zhang, S.P.[Sheng-Ping], Wang, C.Y.[Chen-Yang], Zheng, Y.C.[Yi-Chen], Zhong, B.[Bineng], Li, C.Y.[Chong-Yi], Nie, L.Q.[Li-Qiang],
Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring,
CVPR24(25378-25388)
IEEE DOI Code:
WWW Link. 2410
Degradation, Codes, Training data, Diffusion processes, Diffusion models BibRef

Zhou, S.C.[Shang-Chen], Li, C.Y.[Chong-Yi], Loy, C.C.[Chen Change],
LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark,
ECCV22(VI:573-589).
Springer DOI 2211
BibRef

Dong, X.B.[Xing-Bo], Xu, W.Y.[Wan-Yan], Miao, Z.H.[Zhi-Hui], Ma, L.[Lan], Zhang, C.[Chao], Yang, J.W.[Jie-Wen], Jin, Z.[Zhe], Teoh, A.B.J.[Andrew Beng Jin], Shen, J.J.[Jia-Jun],
Abandoning the Bayer-Filter to See in the Dark,
CVPR22(17410-17419)
IEEE DOI 2210
Image color analysis, Pipelines, Neural networks, Lighting, Streaming media, Network architecture, Cameras, Low-level vision, Image and video synthesis and generation 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, Low-frequency noise BibRef

Cui, Z.T.[Zi-Teng], Qi, G.J.[Guo-Jun], Gu, L.[Lin], You, S.D.[Shao-Di], Zhang, Z.H.[Zeng-Hui], Harada, T.[Tatsuya],
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection,
ICCV21(2533-2542)
IEEE DOI 2203

WWW Link. Manifolds, Visualization, Computational modeling, Signal processing algorithms, Lighting, Object detection, Machine learning architectures and formulations BibRef

Wang, R.X.[Rui-Xing], Xu, X.G.[Xiao-Gang], Fu, C.W.[Chi-Wing], Lu, J.B.[Jiang-Bo], Yu, B.[Bei], Jia, J.Y.[Jia-Ya],
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment,
ICCV21(9680-9689)
IEEE DOI 2203
Measurement, Mechatronics, Robot vision systems, Dynamics, Noise reduction, Lighting, Process control, Computational photography BibRef

Song, W.Z.[Wen-Zheng], Suganuma, M.[Masanori], Liu, X.[Xing], Shimobayashi, N.[Noriyuki], Maruta, D.[Daisuke], Okatani, T.[Takayuki],
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes,
ICCV21(6009-6018)
IEEE DOI 2203
Image sensors, Visualization, Simultaneous localization and mapping, Image matching, Datasets and evaluation BibRef

Xiong, J.H.[Jin-Hui], Wang, J.[Jian], Heidrich, W.[Wolfgang], Nayar, S.[Shree],
Seeing in Extra Darkness Using a Deep-Red Flash,
CVPR21(9995-10004)
IEEE DOI 2111
Training, Photography, Sensitivity, Modulation, Prototypes, Cameras, Pattern recognition BibRef

Xia, Z.H.[Zhi-Hao], Gharbi, M.[Michaël], Perazzi, F.[Federico], Sunkavalli, K.[Kalyan], Chakrabarti, A.[Ayan],
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments,
CVPR21(2063-2072)
IEEE DOI 2111
Photography, Visualization, Image color analysis, Noise reduction, Lighting, Rendering (computer graphics), Surface texture BibRef

Lamba, M.[Mohit], Mitra, K.[Kaushik],
Restoring Extremely Dark Images in Real Time,
CVPR21(3486-3496)
IEEE DOI 2111
Training, Deep learning, Image resolution, Computational modeling, Graphics processing units, Object detection, Cameras 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

Jiang, H.Y.[Hai-Yang], Zheng, Y.Q.[Yin-Qiang],
Learning to See Moving Objects in the Dark,
ICCV19(7323-7332)
IEEE DOI 2004
convolutional neural nets, image colour analysis, image enhancement, image motion analysis, BibRef

Chen, C.[Chen], Chen, Q.F.[Qi-Feng], Do, M.[Minh], Koltun, V.[Vladlen],
Seeing Motion in the Dark,
ICCV19(3184-3193)
IEEE DOI 2004
image classification, image representation, image resolution, image segmentation, image sensors, Noise measurement BibRef

Zhang, J., Cao, Y., Fang, S., Kang, Y., Chen, C.W.,
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior,
CVPR17(7016-7024)
IEEE DOI 1711
Atmospheric modeling, Attenuation, Image color analysis, Imaging, Integrated circuit modeling, Light sources, Lighting BibRef

Santra, S., Chanda, B.,
Day/night unconstrained image dehazing,
ICPR16(1406-1411)
IEEE DOI 1705
Aerosols, Atmospheric modeling, Computational modeling, Image color analysis, Imaging, Mathematical model, Observers, daytime, image dehazing, night-time BibRef

Ancuti, C., Ancuti, C.O., de Vleeschouwer, C., Bovik, A.C.,
Night-time dehazing by fusion,
ICIP16(2256-2260)
IEEE DOI 1610
Atmospheric modeling BibRef

Chang, Y., Jung, C.,
Perceptual contrast enhancement of dark images based on textural coefficients,
VCIP16(1-4)
IEEE DOI 1701
Distortion BibRef

Zhang, J.[Jing], Cao, Y.[Yang], Wang, Z.F.[Zeng-Fu],
Nighttime haze removal based on a new imaging model,
ICIP14(4557-4561)
IEEE DOI 1502
Atmospheric modeling BibRef

Pei, S.C.[Soo-Chang], Lee, T.Y.[Tzu-Yen],
Nighttime haze removal using color transfer pre-processing and Dark Channel Prior,
ICIP12(957-960).
IEEE DOI 1302
BibRef

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


Last update:Jan 20, 2025 at 11:36:25