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.[Haonan],
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
Lim, J.[Jaemoon],
Heo, M.[Minhyeok],
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
Contrast enhancement of noisy low-light images based on
structure-texture-noise decomposition,
JVCIR(45), No. 1, 2017, pp. 107-121.
Elsevier DOI
1704
Image enhancement
BibRef
Kim, J.H.[Jin-Hwan],
Jang, W.D.[Won-Dong],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Optimized contrast enhancement for real-time image and video dehazing,
JVCIR(24), No. 3, April 2013, pp. 410-425.
Elsevier DOI
1303
Image dehazing; Video dehazing; Image restoration; Contrast
enhancement; Temporal coherence; Image enhancement; Optimized dehazing;
Atmospheric light estimation
BibRef
Lim, J.[Jaemoon],
Kim, J.H.[Jin-Hwan],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Robust contrast enhancement of noisy low-light images:
Denoising-enhancement-completion,
ICIP15(4131-4135)
IEEE DOI
1512
Low-light image enhancement
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
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
Kim, J.H.[Jin-Hwan],
Jang, W.D.[Won-Dong],
Park, Y.[Yongsup],
Lee, D.H.[Dong-Hahk],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Temporally x real-time video dehazing,
ICIP12(969-972).
IEEE DOI
1302
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
Huang, Z.X.[Zhi-Xiong],
Li, J.J.[Jin-Jiang],
Hua, Z.[Zhen],
Fan, L.W.[Lin-Wei],
Attention-based dual-color space fusion network for low-light image
enhancement,
SP:IC(119), 2023, pp. 117060.
Elsevier DOI
2310
Low-light image enhancement, Dual-color space,
Adaptive large-kernel attention, Deep learning
BibRef
Xu, X.T.[Xin-Tao],
Li, J.J.[Jin-Jiang],
Hua, Z.[Zhen],
Fan, L.W.[Lin-Wei],
Attention-Based Multi-Channel Feature Fusion Enhancement Network to
Process Low-Light Images,
IET-IPR(16), No. 12, 2022, pp. 3374-3393.
DOI Link
2209
BibRef
Yu, N.[Nana],
Li, J.J.[Jin-Jiang],
Hua, Z.[Zhen],
LBP-based progressive feature aggregation network for low-light image
enhancement,
IET-IPR(16), No. 2, 2022, pp. 535-553.
DOI Link
2201
BibRef
Huang, Z.X.[Zhi-Xiong],
Li, J.J.[Jin-Jiang],
Hua, Z.[Zhen],
Underwater image enhancement via LBP-based attention residual network,
IET-IPR(16), No. 1, 2022, pp. 158-175.
DOI Link
2112
BibRef
Chen, X.Y.[Xin-Yu],
Li, J.J.[Jin-Jiang],
Hua, Z.[Zhen],
Low-light image enhancement based on exponential Retinex variational
model,
IET-IPR(15), No. 12, 2021, pp. 3003-3019.
DOI Link
2109
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
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
Feng, X.M.[Xiao-Mei],
Li, J.J.[Jin-Jiang],
Fan, H.[Hui],
Hierarchical guided network for low-light image enhancement,
IET-IPR(15), No. 13, 2021, pp. 3254-3266.
DOI Link
2110
BibRef
Li, J.J.[Jin-Jiang],
Feng, X.M.[Xiao-Mei],
Hua, Z.[Zhen],
Low-Light Image Enhancement via Progressive-Recursive Network,
CirSysVideo(31), No. 11, November 2021, pp. 4227-4240.
IEEE DOI
2112
Image enhancement, Lighting, Training, Feature extraction,
Brightness, Task analysis, Image color analysis,
attention model
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, Mobile handsets, 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.[Zhenxue],
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
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
Cai, R.T.[Rong-Tai],
Chen, Z.K.[Ze-Kun],
Brain-like retinex: A biologically plausible retinex algorithm for
low light image enhancement,
PR(136), 2023, pp. 109195.
Elsevier DOI
2301
Retinex, Low light image enhancement, Contour detection,
Edge detection, Brain-inspired computation, Color constancy, Retinal circuit
BibRef
Zhang, K.B.[Kai-Bing],
Yuan, C.[Cheng],
Li, J.[Jie],
Gao, X.B.[Xin-Bo],
Li, M.Q.[Min-Qi],
Multi-Branch and Progressive Network for Low-Light Image Enhancement,
IP(32), 2023, pp. 2295-2308.
IEEE DOI
2305
Image enhancement, Lighting, Degradation, Image color analysis,
Network architecture, Technological innovation, Task analysis,
recurrent network
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.[Yuehang],
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
Wu, K.[Kangle],
Huang, J.[Jun],
Ma, Y.[Yong],
Fan, F.[Fan],
Ma, J.Y.[Jia-Yi],
Cycle-Retinex: Unpaired Low-Light Image Enhancement via
Retinex-Inline CycleGAN,
MultMed(26), 2024, pp. 1213-1228.
IEEE DOI
2402
Image enhancement, Image color analysis, Image restoration, Lighting,
Colored noise, Degradation, Deep learning, unsupervised learning
BibRef
Xu, H.[Han],
Zhang, H.[Hao],
Yi, X.P.[Xun-Peng],
Ma, J.Y.[Jia-Yi],
CRetinex: A Progressive Color-Shift Aware Retinex Model for Low-Light
Image Enhancement,
IJCV(132), No. 1, January 2024, pp. 3610-3632.
Springer DOI
2409
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.[Yujia],
Zuo, F.Y.[Feng-Yuan],
Su, H.[Haonan],
Zhang, Y.[YuanLin],
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
Kang, S.C.[Si-Cong],
Gao, S.B.[Shuai-Bo],
Wu, W.H.[Wen-Hui],
Wang, X.[Xu],
Wang, S.[Shuoyao],
Qiu, G.P.[Guo-Ping],
Image Intrinsic Components Guided Conditional Diffusion Model for
Low-Light Image Enhancement,
CirSysVideo(34), No. 12, December 2024, pp. 13244-13256.
IEEE DOI Code:
WWW Link.
2501
Lighting, Image restoration, Reflectivity, Diffusion models,
Feature extraction, Image color analysis, Image enhancement,
retinex decomposition
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.[Qingsen],
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.[Aiyong],
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
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
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, Mobile handsets,
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 .