Kang, B.H.[Bong-Hyup],
Jeon, C.W.[Chang-Won],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Adaptive height-modified histogram equalization and chroma correction
in YCbCr color space for fast backlight image compensation,
IVC(29), No. 8, July 2011, pp. 557-568.
Elsevier DOI
1108
Backlight compensation; Image enhancement; Contrast enhancement;
Histogram equalization; Saturation
BibRef
Park, D.[Dubok],
Kim, M.J.[Min-Jae],
Ku, B.[Bonhwa],
Yoon, S.[Sangmin],
Han, D.K.[David K.],
Image enhancement for extremely low light conditions,
AVSS14(307-312)
IEEE DOI
1411
Dynamic range
BibRef
Su, H.N.[Hao-Nan],
Yu, L.[Long],
Jung, C.[Cheolkon],
Joint Contrast Enhancement and Noise Reduction of Low Light Images
Via JND Transform,
MultMed(24), 2022, pp. 17-32.
IEEE DOI
2202
Visualization, Noise reduction, Transforms, Image color analysis,
Colored noise, Adaptation models, Lighting, Contrast enhancement, Weber's law
BibRef
Jung, C.[Cheolkon],
Yang, Q.[Qi],
Sun, T.T.[Ting-Ting],
Fu, Q.T.[Qing-Tao],
Song, H.[Hyoseob],
Low light image enhancement with dual-tree complex wavelet transform,
JVCIR(42), No. 1, 2017, pp. 28-36.
Elsevier DOI
1701
Contrast enhancement
BibRef
Mei, L.[Lin],
Jung, C.[Cheolkon],
Low Light Image Enhancement by Multispectral Fusion and Convolutional
Neural Networks,
ICPR22(203-209)
IEEE DOI
2212
Training, Smoothing methods, Image color analysis, Noise reduction,
Feature extraction, Convolutional neural networks
BibRef
Ji, Z.[Zhe],
Jung, C.[Cheolkon],
Subband Adaptive Enhancement of Low Light Images Using Wavelet-Based
Convolutional Neural Networks,
ICIP21(1669-1673)
IEEE DOI
2201
Visualization, Adaptive systems, Noise reduction, Redundancy,
Discrete wavelet transforms, Convolutional neural networks,
wavelet.
BibRef
Park, J.[Jaemin],
Vien, A.G.[An Gia],
Cha, M.[Minhee],
Pham, T.T.[Thuy Thi],
Kim, H.[Hanul],
Lee, C.[Chul],
Multiple transformation function estimation for image enhancement,
JVCIR(95), 2023, pp. 103863.
Elsevier DOI
2309
Image enhancement, Multiple transformation functions,
Color representation, Histogram representation
See also Optimized contrast enhancement for real-time image and video dehazing.
BibRef
Park, J.[Jaemin],
Vien, A.G.[An Gia],
Kim, J.H.[Jin-Hwan],
Lee, C.[Chul],
Histogram-Based Transformation Function Estimation for Low-Light
Image Enhancement,
ICIP22(1-5)
IEEE DOI
2211
Image quality, Histograms, Estimation, Feature extraction, Data mining,
Image enhancement, Low-light image enhancement, histogram equalization
BibRef
Yu, S.,
Zhu, H.,
Low-Illumination Image Enhancement Algorithm Based on a Physical
Lighting Model,
CirSysVideo(29), No. 1, January 2019, pp. 28-37.
IEEE DOI
1901
Lighting, Attenuation, Image restoration, Image color analysis, Degradation,
Scattering, Atmospheric modeling, Image enhancement, weighted guide filter
BibRef
Ren, Y.R.[Yu-Rui],
Ying, Z.Q.[Zhen-Qiang],
Li, T.H.,
Li, G.[Ge],
LECARM: Low-Light Image Enhancement Using the Camera Response Model,
CirSysVideo(29), No. 4, April 2019, pp. 968-981.
IEEE DOI
1904
Cameras, Lighting, Image enhancement, Image color analysis,
Nonlinear distortion, Histograms, Camera response function,
contrast enhancement
BibRef
Ying, Z.Q.[Zhen-Qiang],
Li, G.[Ge],
Ren, Y.R.[Yu-Rui],
Wang, R.G.[Rong-Gang],
Wang, W.M.[Wen-Min],
A New Low-Light Image Enhancement Algorithm Using Camera Response
Model,
CVPV17(3015-3022)
IEEE DOI
1802
BibRef
And:
A New Image Contrast Enhancement Algorithm Using Exposure Fusion
Framework,
CAIP17(II: 36-46).
Springer DOI
1708
Cameras, Distortion, Estimation, Image color analysis,
Image enhancement, Lighting, Mathematical model
BibRef
Wang, Y.F.[Yun-Fei],
Liu, H.M.[He-Ming],
Fu, Z.W.[Zhao-Wang],
Low-Light Image Enhancement via the Absorption Light Scattering Model,
IP(28), No. 11, November 2019, pp. 5679-5690.
IEEE DOI
1909
Lighting, Atmospheric modeling, Imaging, Image color analysis,
Mathematical model, Image enhancement, Absorption,
minimal channel
BibRef
Yang, W.H.[Wen-Han],
Wang, S.Q.[Shi-Qi],
Fang, Y.M.[Yu-Ming],
Wang, Y.[Yue],
Liu, J.Y.[Jia-Ying],
Band Representation-Based Semi-Supervised Low-Light Image
Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual
Quality,
IP(30), 2021, pp. 3461-3473.
IEEE DOI
2103
BibRef
Earlier:
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for
Low-Light Image Enhancement,
CVPR20(3060-3069)
IEEE DOI
2008
Visualization, Lighting, Neural networks, Image enhancement,
Image color analysis, Degradation, Visual perception, Low light,
perceptual quality.
Lighting,
Estimation, Image restoration, Colored noise
BibRef
Chen, B.L.[Bao-Liang],
Zhu, L.Y.[Ling-Yu],
Zhu, H.W.[Han-Wei],
Yang, W.H.[Wen-Han],
Song, L.Q.[Lin-Qi],
Wang, S.Q.[Shi-Qi],
Gap-Closing Matters: Perceptual Quality Evaluation and Optimization
of Low-Light Image Enhancement,
MultMed(26), 2024, pp. 3430-3443.
IEEE DOI
2402
Databases, Distortion, Image enhancement, Optimization,
Visualization, Lighting, Quality assessment, optimization
BibRef
Li, J.Q.[Jia-Qian],
Li, J.C.[Jun-Cheng],
Fang, F.M.[Fa-Ming],
Li, F.[Fang],
Zhang, G.X.[Gui-Xu],
Luminance-Aware Pyramid Network for Low-Light Image Enhancement,
MultMed(23), 2021, pp. 3153-3165.
IEEE DOI
2109
Feature extraction, Image enhancement, Lighting, Task analysis,
Image color analysis, pyramid structure
BibRef
Zhou, L.[Le],
Li, W.J.[Wen-Jie],
Li, J.C.[Jun-Cheng],
Gao, G.W.[Guang-Wei],
Lin, C.W.[Chia-Wen],
Diffusion-based Laplacian frequency-aware network for low-light image
enhancement,
PR(175), 2026, pp. 113060.
Elsevier DOI
2603
LLIE, Diffusion model, Laplacian, Multi-frequency-aware
BibRef
Lu, K.[Kun],
Zhang, L.H.[Li-Hong],
TBEFN:
A Two-Branch Exposure-Fusion Network for Low-Light Image Enhancement,
MultMed(23), 2021, pp. 4093-4105.
IEEE DOI
2112
Lighting, Noise reduction, Image enhancement, Estimation,
Image reconstruction, Image color analysis, Visualization,
transfer function estimation
BibRef
Lim, S.[Seokjae],
Kim, W.J.[Won-Jun],
DSLR: Deep Stacked Laplacian Restorer for Low-Light Image Enhancement,
MultMed(23), 2021, pp. 4272-4284.
IEEE DOI
2112
Laplace equations, Image restoration, Lighting, Image enhancement,
Visualization, Image color analysis, Histograms,
decomposition-based scheme
BibRef
Qiu, Y.S.[Yan-Sheng],
Chen, J.[Jun],
Wang, Z.[Zheng],
Wang, X.[Xiao],
Lin, C.W.[Chia-Wen],
Spatio-Spectral Feature Fusion for Low-Light Image Enhancement,
SPLetters(28), 2021, pp. 2157-2161.
IEEE DOI
2112
Frequency-domain analysis, Convolution, Image enhancement,
Discrete wavelet transforms, Training, Image color analysis,
spatio-spectral fusion
BibRef
Zhou, H.[Han],
Dong, W.[Wei],
Liu, X.H.[Xiao-Hong],
Liu, S.C.[Shuai-Cheng],
Min, X.K.[Xiong-Kuo],
Zhai, G.T.[Guang-Tao],
Chen, J.[Jun],
Glare: Low Light Image Enhancement via Generative Latent Feature Based
Codebook Retrieval,
ECCV24(XLVIII: 36-54).
Springer DOI
2412
BibRef
Zhang, Y.[Yu],
Di, X.G.[Xiao-Guang],
Zhang, B.[Bin],
Ji, R.H.[Rui-Hang],
Wang, C.H.[Chun-Hui],
Better Than Reference in Low-Light Image Enhancement: Conditional
Re-Enhancement Network,
IP(31), 2022, pp. 759-772.
IEEE DOI
2201
Image color analysis, Brightness, Colored noise, Image enhancement,
Training, Distortion, Noise reduction, Low-light image,
color correction
BibRef
Chang, M.[Meng],
Feng, H.J.[Hua-Jun],
Xu, Z.H.[Zhi-Hai],
Li, Q.[Qi],
Low-Light Image Restoration With Short- and Long-Exposure Raw Pairs,
MultMed(24), 2022, pp. 702-714.
IEEE DOI
2202
Imaging, Image color analysis, Colored noise, Task analysis,
Pipelines, Noise reduction, Deblurring, denoising,
low-light imaging
BibRef
Lu, Y.C.[Yu-Cheng],
Jung, S.W.[Seung-Won],
Progressive Joint Low-Light Enhancement and Noise Removal for Raw
Images,
IP(31), 2022, pp. 2390-2404.
IEEE DOI
2203
Noise reduction, Image color analysis, Colored noise, Cameras,
Lighting, Estimation, Task analysis, Convolutional neural network,
low-light image enhancement
BibRef
Chen, L.L.[Liang-Liang],
Guo, L.[Lin],
Cheng, D.Q.[De-Qiang],
Kou, Q.Q.[Qi-Qi],
Structure-Preserving and Color-Restoring Up-Sampling for Single
Low-Light Image,
CirSysVideo(32), No. 4, April 2022, pp. 1889-1902.
IEEE DOI
2204
Lighting, Image reconstruction, Image color analysis, Training,
Reflectivity, Learning systems, Task analysis, Low-light,
color-restoring
BibRef
Shi, Y.M.[Yang-Ming],
Wang, B.Q.[Bin-Quan],
Wu, X.[Xiaopo],
Zhu, M.[Ming],
Unsupervised Low-Light Image Enhancement by Extracting Structural
Similarity and Color Consistency,
SPLetters(29), 2022, pp. 997-1001.
IEEE DOI
2205
Image color analysis, Feature extraction, Training, Optimization,
Signal processing algorithms, Brightness, Lighting,
unsupervised learning
BibRef
Wang, W.C.[Wen-Cheng],
Chen, Z.X.[Zhen-Xue],
Yuan, X.H.[Xiao-Hui],
Simple low-light image enhancement based on Weber-Fechner law in
logarithmic space,
SP:IC(106), 2022, pp. 116742.
Elsevier DOI
2206
Logarithmic transformation, Low-light image,
Non-uniform illumination, Weber-Fechner law, Color compensation
BibRef
Li, C.Y.[Chong-Yi],
Guo, C.[Chunle],
Loy, C.C.[Chen Change],
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve
Estimation,
PAMI(44), No. 8, August 2022, pp. 4225-4238.
IEEE DOI
2207
Lighting, Estimation, Training, Image enhancement,
Image color analysis, Dynamic range, Task analysis,
zero-reference learning
BibRef
Li, C.Y.[Chong-Yi],
Guo, C.[Chunle],
Han, L.H.[Ling-Hao],
Jiang, J.[Jun],
Cheng, M.M.[Ming-Ming],
Gu, J.W.[Jin-Wei],
Loy, C.C.[Chen Change],
Low-Light Image and Video Enhancement Using Deep Learning: A Survey,
PAMI(44), No. 12, December 2022, pp. 9396-9416.
IEEE DOI
2212
Lighting, Deep learning, Feature extraction, Supervised learning,
Cameras, Training data, Photography, Image and video restoration,
computational photography
See also Deep Pyramid Network for Low-Light Endoscopic Image Enhancement.
BibRef
Guo, C.[Chunle],
Li, C.Y.[Chong-Yi],
Guo, J.C.[Ji-Chang],
Loy, C.C.[Chen Change],
Hou, J.H.[Jun-Hui],
Kwong, S.[Sam],
Cong, R.M.[Run-Min],
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement,
CVPR20(1777-1786)
IEEE DOI
2008
Lighting, Estimation, Dynamic range, Training, Image color analysis,
Task analysis, Image enhancement
BibRef
Huang, C.Y.[Chao-Yan],
Fang, Y.Y.[Ying-Ying],
Wu, T.T.[Ting-Ting],
Zeng, T.Y.[Tie-Yong],
Zeng, Y.H.[Yong-Hua],
Quaternion Screened Poisson Equation for Low-Light Image Enhancement,
SPLetters(29), 2022, pp. 1417-1421.
IEEE DOI
2207
Quaternions, Image color analysis, Color, Mathematical models,
Image enhancement, Task analysis, Poisson equations,
screened Poisson equation
BibRef
Chang, J.[Jie],
Zhu, G.P.[Guo-Pu],
Zhang, H.L.[Hong-Li],
Zhu, L.Y.[Ling-Yu],
Yang, W.H.[Wen-Han],
Chen, B.L.[Bao-Liang],
Lu, F.B.[Fang-Bo],
Wang, S.Q.[Shi-Qi],
Enlightening Low-Light Images With Dynamic Guidance for Context
Enrichment,
CirSysVideo(32), No. 8, August 2022, pp. 5068-5079.
IEEE DOI
2208
Lighting, Image color analysis, Feature extraction,
Image enhancement, Histograms, Image edge detection,
contextual feature
BibRef
Xu, K.[Kai],
Chen, H.A.[Huai-An],
Xu, C.M.[Chun-Mei],
Jin, Y.[Yi],
Zhu, C.G.[Chan-Gan],
Structure-Texture Aware Network for Low-Light Image Enhancement,
CirSysVideo(32), No. 8, August 2022, pp. 4983-4996.
IEEE DOI
2208
Image enhancement, Image color analysis, Image edge detection,
Task analysis, Lighting, Distortion, Visualization, hybrid loss
BibRef
Fan, G.D.[Guo-Dong],
Fan, B.[Bi],
Gan, M.[Min],
Chen, G.Y.[Guang-Yong],
Chen, C.L.P.[C. L. Philip],
Multiscale Low-Light Image Enhancement Network With Illumination
Constraint,
CirSysVideo(32), No. 11, November 2022, pp. 7403-7417.
IEEE DOI
2211
Lighting, Image enhancement, Image color analysis, Deep learning,
Task analysis, Atmospheric modeling, Histograms, Res2Net
BibRef
Fan, G.D.[Guo-Dong],
Yao, Z.[Zishu],
Gan, M.[Min],
Illumination-aware and structure-guided transformer for low-light
image enhancement,
CVIU(252), 2025, pp. 104276.
Elsevier DOI
2502
Low-light image enhancement, Image restoration, Transformer,
Self-attention, Global and local information
BibRef
Liu, C.X.[Chun-Xiao],
Wu, F.D.[Fan-Ding],
Wang, X.[Xun],
EFINet: Restoration for Low-Light Images via Enhancement-Fusion
Iterative Network,
CirSysVideo(32), No. 12, December 2022, pp. 8486-8499.
IEEE DOI
2212
Lighting, Image color analysis, Training, Image enhancement,
Iterative methods, Feature extraction, Task analysis,
light-weight CNNs
BibRef
Jeon, J.J.[Jong Ju],
Park, J.Y.[Jun Young],
Eom, I.K.[Il Kyu],
Low-light image enhancement using gamma correction prior in mixed
color spaces,
PR(146), 2024, pp. 110001.
Elsevier DOI Code:
WWW Link.
2311
Low-light image enhancement, Gamma correction prior, Mixed color spaces,
Transmission map, Inverted image, Atmospheric scattering model
BibRef
Jiang, Y.[Yu],
Wang, Y.H.[Yue-Hang],
Li, S.Q.[Si-Qi],
Zhang, Y.J.[Yong-Ji],
Zhao, M.H.[Ming-Hao],
Gao, Y.[Yue],
Event-Based Low-Illumination Image Enhancement,
MultMed(26), 2024, pp. 1920-1931.
IEEE DOI
2402
Image reconstruction, Streaming media, Cameras, Feature extraction,
Image enhancement, Image color analysis, Visualization,
transformer
BibRef
Ni, D.D.[Dong-Dong],
Jia, Z.H.[Zhen-Hong],
Yang, J.[Jie],
Kasabov, N.K.[Nikola K.],
Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic
Brightness Correction and a Rolling Guidance Filter,
MultMed(26), 2024, pp. 2192-2206.
IEEE DOI
2402
Streaming media, Brightness, Image color analysis,
Heuristic algorithms, Image enhancement, Lighting, Navigation,
dual-threshold interframe detection strategy
BibRef
He, Z.Q.[Zhi-Quan],
Ran, W.[Wu],
Liu, S.L.[Shu-Lin],
Li, K.[Kehua],
Lu, J.[Jiawen],
Xie, C.Y.[Chang-Yong],
Liu, Y.[Yong],
Lu, H.[Hong],
Low-Light Image Enhancement With Multi-Scale Attention and
Frequency-Domain Optimization,
CirSysVideo(34), No. 4, April 2024, pp. 2861-2875.
IEEE DOI
2404
Lighting, Image enhancement, Image color analysis,
Discrete wavelet transforms, Image restoration, Histograms
BibRef
Yu, N.[Nana],
Shi, H.[Hong],
Han, Y.[Yahong],
Joint Correcting and Refinement for Balanced Low-Light Image
Enhancement,
MultMed(26), 2024, pp. 6310-6324.
IEEE DOI
2404
Image color analysis, Lighting, Feature extraction, Brightness,
Image enhancement, Distortion, Visualization,
illumination adjustment
BibRef
She, C.Y.[Chun-Yan],
Han, F.[Fujun],
Wang, L.[Lidan],
Duan, S.[Shukai],
Huang, T.W.[Ting-Wen],
MPC-Net: Multi-Prior Collaborative Network for Low-Light Image
Enhancement,
CirSysVideo(34), No. 10, October 2024, pp. 10385-10398.
IEEE DOI Code:
WWW Link.
2411
Image color analysis, Transformers, Lighting, Image enhancement,
Histograms, Colored noise, Image edge detection, transformer
BibRef
Jin, H.Y.[Hai-Yan],
Chen, Y.J.[Yu-Jia],
Zuo, F.Y.[Feng-Yuan],
Su, H.N.[Hao-Nan],
Zhang, Y.L.[Yuan-Lin],
Zero-CSC: Low-light image enhancement with zero-reference color
self-calibration,
JVCIR(104), 2024, pp. 104293.
Elsevier DOI
2411
Low-light image enhancement, Zero-reference,
Color self-calibration, Large-kernel U-net
BibRef
Zhang, Z.[Zhao],
Zhao, S.[Suiyi],
Jin, X.J.[Xiao-Jie],
Xu, M.L.[Ming-Liang],
Yang, Y.[Yi],
Yan, S.C.[Shui-Cheng],
Wang, M.[Meng],
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light
Images Without Task-Related Data,
PAMI(47), No. 2, February 2025, pp. 1073-1088.
IEEE DOI
2501
Noise, Training, Data models, Training data, Image reconstruction,
Lighting, Image color analysis, Costs, Image enhancement,
learning without task-related data
BibRef
Zhu, Z.J.[Zheng-Jie],
Yang, X.G.[Xiao-Gang],
Lu, R.T.[Rui-Tao],
Shen, T.[Tong],
Zhang, T.[Tao],
Wang, S.[Siyu],
Ghost Imaging in the Dark: A Multi-Illumination Estimation Network
for Low-Light Image Enhancement,
CirSysVideo(35), No. 2, February 2025, pp. 1576-1590.
IEEE DOI Code:
WWW Link.
2502
Imaging, Estimation, Lighting, Image enhancement, Degradation,
Noise reduction, Image color analysis, Colored noise, gradient-guided denoise
BibRef
Wang, H.[Huake],
Yan, X.Y.[Xiao-Yang],
Hou, X.S.[Xing-Song],
Zhang, K.B.[Kai-Bing],
Dun, Y.J.[Yu-Jie],
Extracting Noise and Darkness: Low-Light Image Enhancement via Dual
Prior Guidance,
CirSysVideo(35), No. 2, February 2025, pp. 1700-1714.
IEEE DOI Code:
WWW Link.
2502
Noise, Image enhancement, Histograms, Noise reduction, Image restoration,
Distortion, Image color analysis, Visualization, progressive enhancement
BibRef
Khormaeipour, S.[Sepideh],
Shakeri, F.[Fatemeh],
Enhancing low-light color image visibility with hybrid contrast and
saturation modification using a saturation-aware map,
JVCIR(107), 2025, pp. 104392.
Elsevier DOI
2503
Image enhancement, Convex combination, Low-light image,
Color image, Proximal gradient descent
BibRef
Wu, K.[Kangle],
Huang, J.[Jun],
Ma, Y.[Yong],
Fan, F.[Fan],
Ma, J.Y.[Jia-Yi],
Mutually Reinforcing Learning of Decoupled Degradation and Diffusion
Enhancement for Unpaired Low-Light Image Lightening,
IP(34), 2025, pp. 2020-2035.
IEEE DOI
2504
Degradation, Lighting, Image enhancement, Reflectivity,
Image color analysis, Training, Colored noise, Brightness,
Retinex decomposition
BibRef
Luo, H.[Hao],
Chen, B.L.[Bao-Liang],
Zhu, L.Y.[Ling-Yu],
Chen, P.L.[Pei-Lin],
Wang, S.Q.[Shi-Qi],
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light
Image Enhancement,
MultMed(27), 2025, pp. 2001-2014.
IEEE DOI
2504
Lighting, Image enhancement, Collaboration, Image color analysis,
Histograms, Image restoration, Colored noise, Reflectivity,
inter-view alignment and fusion
BibRef
Yang, Q.[Qirui],
Cheng, Q.H.[Qi-Hua],
Yue, H.J.[Huan-Jing],
Zhang, L.[Le],
Liu, Y.H.[Yi-Hao],
Yang, J.Y.[Jing-Yu],
Learning to See Low-Light Images via Feature Domain Adaptation,
IP(34), 2025, pp. 2680-2693.
IEEE DOI
2505
Image color analysis, Noise reduction, Image restoration,
Image enhancement, Colored noise, Noise, Decoding, Training, lightweight
BibRef
Xiao, Q.Q.[Quan-Quan],
Jin, H.Y.[Hai-Yan],
Su, H.N.[Hao-Nan],
Yan, R.X.[Rui-Xia],
SELL: A Method for Low-Light Image Enhancement by Predicting Semantic
Priors,
SPLetters(32), 2025, pp. 1785-1789.
IEEE DOI
2505
Semantics, Image enhancement, Training, Image reconstruction,
Visualization, Standards, Feature extraction, Image color analysis,
semantic priors
BibRef
Brateanu, A.[Alexandru],
Balmez, R.[Raul],
Avram, A.[Adrian],
Orhei, C.[Ciprian],
Ancuti, C.[Cosmin],
LYT-NET: Lightweight YUV Transformer-Based Network for Low-Light
Image Enhancement,
SPLetters(32), 2025, pp. 2065-2069.
IEEE DOI
2505
Transformers, Feature extraction, Image enhancement,
Image restoration, Training, Image color analysis, deep learning
BibRef
Severoglu, N.,
Demir, Y.,
Kaplan, N.H.,
Kucuk, S.,
ACGC: Adaptive chrominance gamma correction for low-light image
enhancement,
JVCIR(107), 2025, pp. 104402.
Elsevier DOI
2503
Low-light enhancement, Bilateral filters, Least squares, Y-I-Q transform
BibRef
Xue, Z.H.[Zhen-Hua],
Luo, J.[Jun],
Wei, Z.L.[Zhen-Lin],
Luminance prior guided Low-Light 4C catenary image enhancement,
CVIU(253), 2025, pp. 104287.
Elsevier DOI
2503
Low-light image enhancement, 4C catenary images,
Dual-branch network, Luminance prior
BibRef
Zhou, Y.[Yang],
He, L.T.[Liang-Tian],
Deng, L.J.[Liang-Jian],
Chen, H.M.[Hong-Ming],
Wang, C.[Chao],
MDFormer: Multi-Scale Downsampling-Based Transformer for Low-Light
Image Enhancement,
SPLetters(32), 2025, pp. 1575-1579.
IEEE DOI
2505
Transformers, Image enhancement, Computational efficiency,
Convolution, Feature extraction, Training, Computer architecture,
vision transformer
BibRef
Xu, Z.W.[Zi-Wei],
Wang, W.K.[Wei-Kang],
Cui, Z.K.[Ze-Kun],
Wang, C.[Chao],
A Low-light Image Enhancement Algorithm Based on Optimized
Multi-illumination Fusion,
ICIVC22(549-554)
IEEE DOI
2301
Smoothing methods, Filtering, Heuristic algorithms, Brightness,
Lighting, Optimization methods, Dynamic range, adaptive threshold
BibRef
Guo, J.[Jiacen],
Jin, X.[Xin],
Chen, W.L.[Wei-Lin],
Wang, C.[Chao],
A Novel Low-light Image Enhancement Algorithm Based on Information
Assistance,
ICPR22(3865-3871)
IEEE DOI
2212
Image color analysis, Lighting, Distortion,
Optimal matching, Image enhancement
BibRef
Du, Z.M.[Zhuo-Ming],
Li, H.A.[Hong-An],
Han, F.L.[Fei-Long],
Dynamic Fusion for Generating High-Quality Labels in Low-Light Image
Enhancement,
SPLetters(32), 2025, pp. 2324-2328.
IEEE DOI
2506
Image color analysis, Self-supervised learning, Brightness,
Image enhancement, Training, Histograms, Adaptation models,
structural integrity
BibRef
Fang, Y.M.[Yu-Ming],
Peng, C.[Chen],
Lv, C.L.[Chen-Lei],
Lin, W.S.[Wei-Si],
SRENet: Saliency-Based Lighting Enhancement Network,
IP(34), 2025, pp. 4541-4552.
IEEE DOI Code:
WWW Link.
2507
Lighting, Semantics, Optimization, Training, Image color analysis,
Accuracy, Sensitivity, Data mining, Saliency detection, Pipelines,
low light image enhancement
BibRef
Li, C.[Canlin],
Su, H.W.[Hao-Wen],
Tan, X.[Xin],
Zhang, X.F.[Xiang-Fei],
Ma, L.Z.[Li-Zhuang],
WV-LUT: Wide Vision Lookup Tables for Real-Time Low-Light Image
Enhancement,
MultMed(27), 2025, pp. 4441-4453.
IEEE DOI
2509
Image enhancement, Three-dimensional printing, Real-time systems,
Table lookup, Image color analysis, Deep learning, Degradation,
wide vision lookup tables
BibRef
Razafindratovolahy, A.,
Rao, Y.,
A Simple Yet Robust Nonlinear Function for Low-Light Image
Enhancement Task,
SPLetters(32), 2025, pp. 3370-3374.
IEEE DOI
2509
Image enhancement, Image color analysis, Convergence, Brightness,
Training, Iterative methods, Tuning, Modulation, Lighting, Indexes,
image processing
BibRef
Chen, H.[Huaian],
Liu, T.[Tianle],
Wang, B.[Ben],
Wei, Z.X.[Zhi-Xiang],
Jin, Y.[Yi],
Chen, E.[Enhong],
Data and Prior-Driven Low-Light Enhancement Boosting the Visibility
of Imaging Systems,
SMCS(55), No. 10, October 2025, pp. 7085-7099.
IEEE DOI
2510
Training, Imaging, Lighting, Performance evaluation,
Image enhancement, Space exploration, Image color analysis,
unsupervised learning (UL)
BibRef
Kim, J.[Jinah],
Park, G.H.[Geon-Ho],
Bae, J.[Juhyun],
Jung, S.W.[Seung-Won],
Intrinsic Decomposition-Based Curriculum Learning for Low-Light Image
Enhancement,
SPLetters(32), 2025, pp. 4019-4023.
IEEE DOI
2511
Training, Lighting, Image color analysis, Computational modeling,
Colored noise, Image reconstruction, Image enhancement,
low-light image enhancement
BibRef
Huang, P.L.[Pei-Liang],
Chen, X.M.[Xian-Min],
Feng, X.X.[Xiao-Xu],
Wang, Q.Q.[Qiang-Qiang],
Zhang, D.W.[Ding-Wen],
Han, L.F.[Long-Fei],
Han, J.W.[Jun-Wei],
DecoupleNet: Domain-specific task decoupling network for low-light
image enhancement,
PR(171), 2026, pp. 112203.
Elsevier DOI Code:
WWW Link.
2511
Low light image enhancement, Image signal processing,
Multi-stage network, Denoising, Color correction
BibRef
Mahdizadeh, M.[Mohammad],
Cao, J.J.[Jian-Jian],
Ye, P.[Peng],
Chen, T.[Tao],
Mamba-Based Progressive-Recovery Framework for Multimodal Low Light
Image Enhancement,
MultMed(28), 2026, pp. 400-414.
IEEE DOI
2601
Lighting, Image enhancement, Image color analysis,
Image restoration, Feature extraction, Estimation, Brightness,
CNN-mamba
BibRef
Ulucan, O.[Oguzhan],
Ulucan, D.[Diclehan],
Ebner, M.[Marc],
A Traditional Approach for Color Constancy and Color Assimilation
Illusions with Its Applications to Low-Light Image Enhancement,
IJCV(134), No. 1, January 2026, pp. 33.
Springer DOI
2601
BibRef
Li, D.H.[Dao-Heng],
Yan, M.K.[Meng-Kai],
Li, J.[Jun],
Yang, J.[Jian],
Qian, J.J.[Jian-Jun],
TDHF: Task-Driven Hierarchical Image Fusion Under Low-Light
Conditions,
CirSysVideo(36), No. 4, April 2026, pp. 4064-4077.
IEEE DOI
2604
Feature extraction, Noise reduction, Visualization, Image fusion,
Image quality, Image color analysis, Semantics, Optimization,
object detection
BibRef
Zain-Ul Abideen, M.[Muhammad],
An, N.[Nan],
Ma, L.[Long],
Liu, R.S.[Ri-Sheng],
SNRD-Net: SNR-aware dual enhancement network for low-light images,
CVIU(268), 2026, pp. 104776.
Elsevier DOI
2605
Signal-to-Noise Ratio (SNR), Noise suppression,
Color restoration, Luminance-chrominance, Dataset, Image enhancement
BibRef
Jiang, N.F.[Nan-Feng],
Lin, J.H.[Jun-Hong],
Zhang, T.[Ting],
Zheng, H.F.[Hai-Feng],
Zhao, T.S.[Tie-Song],
Low-Light Image Enhancement via Stage-Transformer-Guided Network,
CirSysVideo(33), No. 8, August 2023, pp. 3701-3712.
IEEE DOI
2308
Degradation, Transformers, Task analysis, Lighting, Training,
Feature extraction, Visualization, Low-light image enhancement,
degradation query
BibRef
Da, H.[Hui],
Niu, Y.Z.[Yu-Zhen],
Qiu, L.[Liuxiang],
Li, F.[Fusheng],
Zhao, T.S.[Tie-Song],
Chen, Y.Z.[Yu-Zhong],
Illumination-Guided Grouped Attention and Masked Progressive
Denoising for Low-Light Image Enhancement,
MultMed(28), 2026, pp. 5227-5240.
IEEE DOI
2607
Lighting, Noise, Noise reduction, Image enhancement, Transformers,
Degradation, Optimization, Image restoration, Image color analysis,
progressive denoising
BibRef
Batziou, E.[Elissavet],
Ioannidis, K.[Konstantinos],
Patras, I.[Ioannis],
Vrochidis, S.[Stefanos],
Kompatsiaris, I.[Ioannis],
HDD-Unet: A Unet-based architecture for low-light image enhancement,
IVC(167), 2026, pp. 105889.
Elsevier DOI
2602
Low-light image, Image enhancement, Unet, Haar pooling,
Wavelet pooling, Denoising, Color histogram blocks, Fusion
BibRef
Zhang, Z.Y.[Zheng-Yang],
Cao, T.[Tao],
Cao, H.F.[Hong-Fei],
Zhang, X.L.[Xing-Lin],
Bai, S.[Shuchen],
Unsupervised Compensation for Degradation in Low-Light Imaging via
Distribution Gap Feedback,
SPLetters(33), 2026, pp. 1331-1335.
IEEE DOI
2604
Degradation, Computer architecture, Supervised learning,
Benchmark testing, Optimization, Image color analysis, Estimation,
masked reconstruction
BibRef
Chi, K.[Kaichen],
Li, Q.[Qiang],
Chu, J.[Jun],
Li, J.J.[Jun-Jie],
Wang, Q.[Qi],
Deep Reinforcement Learning for Lunar Polar Low-Light Enhancement,
MultMed(28), 2026, pp. 5203-5215.
IEEE DOI
2607
Lighting, Reinforcement learning, Image color analysis,
Image restoration, Visualization, Moon, Colored noise,
personalization
BibRef
Yin, B.X.[Bo-Xin],
Wang, W.C.[Wen-Cheng],
Li, L.[Lei],
Lan, X.W.[Xiao-Wei],
Li, L.[Lun],
Wu, X.J.[Xiao-Jin],
Low-Light Image Enhancement Algorithm Based on Information Fusion
Strategy,
ICIVC25(538-541)
IEEE DOI
2512
Visualization, Image color analysis, Image edge detection,
Brightness, Neural networks, Distortion, Image sequences, neural networks
BibRef
Jin, H.Y.[Hai-Yan],
Yang, W.[Wenfan],
Su, H.N.[Hao-Nan],
Zhang, Y.L.[Yuan-Lin],
Wang, B.[Bin],
NAR-DIFF: A Noise-Adaptive Reflectance Diffusion Model for Low-Light
Image Enhancement,
ICIP25(983-988)
IEEE DOI
2601
Reflectivity, Image quality, Adaptive systems,
Image color analysis, Noise reduction, Lighting, Estimation,
Diffusion Models
BibRef
Yan, Q.S.[Qing-Sen],
Feng, Y.X.[Yi-Xu],
Zhang, C.[Cheng],
Pang, G.S.[Guan-Song],
Shi, K.B.[Kang-Biao],
Wu, P.[Peng],
Dong, W.[Wei],
Sun, J.Q.[Jin-Qiu],
Zhang, Y.N.[Yan-Ning],
HVI: A New Color Space for Low-light Image Enhancement,
CVPR25(5678-5687)
IEEE DOI Code:
WWW Link.
2508
Visualization, Sensitivity, Image color analysis, Brightness,
Lighting, Robustness, Colored noise, Image enhancement, Standards,
image processing
BibRef
Li, Y.[Yiyu],
Xu, K.[Ke],
Hancke, G.P.[Gerhard Petrus],
Lau, R.W.H.[Rynson W.H.],
Color Shift Estimation-and-Correction for Image Enhancement,
CVPR24(25389-25398)
IEEE DOI Code:
WWW Link.
2410
Visualization, Forehead, Image color analysis, Brightness,
Modulation, Generators, Image restoration, Low-level Vision,
Low-light Image Enhancement
BibRef
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],
Yan, Q.S.[Qing-Sen],
Zhang, Y.N.[Yan-Ning],
DiffLight: Integrating Content and Detail for Low-light Image
Enhancement,
NTIRE24(6143-6152)
IEEE DOI
2410
Visualization, Image color analysis, Pipelines, Noise reduction,
Graphics processing units, Low-level Task, Low Light Enhancement, Diffusion
BibRef
Makwana, D.[Dhruv],
Deshmukh, G.[Gayatri],
Susladkar, O.[Onkar],
Mittal, S.[Sparsh],
Teja, R.S.C.[R. Sai Chandra],
LIVENet: A novel network for real-world low-light image denoising and
enhancement,
WACV24(5844-5853)
IEEE DOI Code:
WWW Link.
2404
Image color analysis, Atmospheric modeling, Source coding, Noise reduction,
Lighting, Transforms, Gray-scale, Applications, and algorithms
BibRef
Quan, J.C.[Jin-Cheng],
Jin, H.M.[Hong-Mei],
Li, Z.L.[Zhan-Li],
Wen, Z.[Zi],
Low Illumination Image Enhancement Algorithm Based on HSV-RNET,
ICIVC22(531-536)
IEEE DOI
2301
Smoothing methods, Image color analysis, Image edge detection,
Noise reduction, Lighting, Distortion, Visual effects, Retinex,
low-light images
BibRef
Wei, X.L.[Xiao-Long],
Sun, J.[Jian],
Cai, Y.[Yulu],
Ma, A.Y.[Ai-Yong],
Su, W.[Wei],
Zero-DCE with HSV loss for Low-Light Image Enhancement,
ICIVC22(537-541)
IEEE DOI
2301
Image color analysis, Surveillance, Brightness, Estimation,
Reconnaissance, Benchmark testing, Image restoration, Zero-DCE, HSV, enhancement
BibRef
Mukaida, M.[Mashiho],
Ueda, Y.[Yoshiaki],
Suetake, N.[Noriaki],
Low-Light Image Enhancement Method by Using a Modified Gamma
Transform for Convex Combination Coefficients,
ICIP22(2866-2870)
IEEE DOI
2211
Histograms, Smoothing methods, Image color analysis, Transforms,
Information filters, Computational efficiency, Image enhancement,
Histogram Specification
BibRef
Gao, H.Y.[Hao-Yu],
Zhang, L.[Lin],
Zhang, S.L.[Shun-Li],
Recurrent Attentive Decomposition Network for Low-Light Image
Enhancement,
ICIP22(3818-3822)
IEEE DOI
2211
Visualization, Image recognition, Image color analysis, Distortion,
Reflection, Image decomposition, Image restoration,
Recurrent Attentive Decomposition Network
BibRef
Zhang, Z.[Zhao],
Zheng, H.[Huan],
Hong, R.C.[Ri-Chang],
Xu, M.L.[Ming-Liang],
Yan, S.C.[Shui-Cheng],
Wang, M.[Meng],
Deep Color Consistent Network for Low-Light Image Enhancement,
CVPR22(1889-1898)
IEEE DOI
2210
Image quality, Histograms, Image color analysis, Lighting,
Collaboration, Color, Low-level vision,
Deep learning architectures and techniques
BibRef
Kim, B.[Bomi],
Lee, S.[Sunhyeok],
Kim, N.[Nahyun],
Jang, D.G.[Dong-Gon],
Kim, D.S.[Dae-Shik],
Learning Color Representations for Low-Light Image Enhancement,
WACV22(904-912)
IEEE DOI
2202
Training, Representation learning, Histograms, Visualization,
Image color analysis, Supervised learning, Image restoration,
Image Processing -> Image Restoration Deep Learning
BibRef
Zhao, L.C.[Ling-Chao],
Gong, X.L.[Xiao-Lin],
Liu, K.[Kaihua],
Wang, J.[Jian],
Zhao, B.[Bai],
Liu, Y.[Yu],
Color Channel Fusion Network for Low-Light Image Enhancement,
ICIP21(1654-1658)
IEEE DOI
2201
Training, Image color analysis, Lighting, Image reconstruction,
Image enhancement, low-light image enhancement, deep learning,
detail enhancement
BibRef
Tang, P.L.[Peng-Liang],
Guo, X.Q.[Xiao-Qiang],
Ju, G.D.[Guo-Dong],
Shen, L.H.[Liang-Heng],
Men, A.[Aidong],
Integration-and-Diffusion Network for Low-Light Image Enhancement,
ICIP21(1664-1668)
IEEE DOI
2201
Learning systems, Image color analysis, Image enhancement,
Image reconstruction, Signal to noise ratio, Photonics,
color recovery
BibRef
Guo, P.[Peiyao],
Ma, Z.[Zhan],
Low-light Color Imaging via Dual Camera Acquisition,
ACCV20(II:150-167).
Springer DOI
2103
BibRef
Azizi, Z.,
Lei, X.,
Kuo, C.C.J.,
Noise-Aware Texture-Preserving Low-Light Enhancement,
VCIP20(443-446)
IEEE DOI
2102
Lighting, Noise reduction, Noise measurement, Image color analysis,
Image edge detection, Optimization, Estimation, denoising
BibRef
Ke, X.[Xue],
Lin, W.[Wei],
Chen, G.J.[Gao-Jie],
Chen, Q.[Quan],
Qi, X.Z.[Xian-Zhi],
Ma, J.[Jie],
EDLLIE-Net: Enhanced Deep Convolutional Networks for Low-Light Image
Enhancement,
ICIVC20(59-68)
IEEE DOI
2009
Image enhancement, Task analysis, Feature extraction, Lighting,
Image color analysis, Artificial intelligence, Automation,
EDLLIE-Net
BibRef
Xu, K.,
Yang, X.,
Yin, B.,
Lau, R.W.H.,
Learning to Restore Low-Light Images via
Decomposition-and-Enhancement,
CVPR20(2278-2287)
IEEE DOI
2008
Noise measurement, Image color analysis, Colored noise,
Image enhancement, Lighting, Integrated circuit modeling, Noise reduction
BibRef
Atoum, Y.,
Ye, M.,
Ren, L.,
Tai, Y.,
Liu, X.,
Color-wise Attention Network for Low-light Image Enhancement,
NTIRE20(2130-2139)
IEEE DOI
2008
Image color analysis, Noise reduction, Task analysis,
Colored noise, Lighting, Frequency modulation, Computer vision
BibRef
Liba, O.,
Movshovitz-Attias, Y.,
Cai, L.,
Pritch, Y.,
Tsai, Y.,
Chen, H.,
Eban, E.,
Barron, J.T.,
Sky Optimization: Semantically aware image processing of skies in
low-light photography,
NTIRE20(2230-2238)
IEEE DOI
2008
Image segmentation, Image resolution,
Neural networks, Cameras, Image color analysis, Colored noise
BibRef
Dhara, S.K.,
Sen, D.,
Low Light Image Enhancement Using Grover's Algorithm on Superposed
Luminance Levels,
ICIP18(1113-1117)
IEEE DOI
1809
Histograms, Image enhancement, Lighting, Image color analysis,
Probability density function, Proposals,
Quantum probability
BibRef
Tao, L.[Li],
Zhu, C.[Chuang],
Xiang, G.Q.[Guo-Qing],
Li, Y.[Yuan],
Jia, H.Z.[Hui-Zhu],
Xie, X.D.[Xiao-Dong],
LLCNN: A Convolutional Neural Network for Low-Light Image Enhancement,
VCIP17(1-4)
IEEE DOI
1804
convolution, feature extraction, feedforward neural nets,
image enhancement, image texture, CNN based method,
low-light image
BibRef
Tao, L.,
Zhu, C.,
Song, J.,
Lu, T.,
Jia, H.Z.[Hui-Zhu],
Xie, X.D.[Xiao-Dong],
Low-light image enhancement using CNN and bright channel prior,
ICIP17(3215-3219)
IEEE DOI
1803
Adaptation models, Atmospheric modeling, Filtering theory,
Image color analysis, Mathematical model, Scattering, CNN,
low-light model
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Night Time Processing .