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],
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
See also Multiple transformation function estimation for image enhancement.
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
Li, Y.[Yu],
You, S.D.[Shao-Di],
Brown, M.S.[Michael S.],
Tan, R.T.[Robby T.],
Haze visibility enhancement: A Survey and quantitative benchmarking,
CVIU(165), No. 1, 2017, pp. 1-16.
Elsevier DOI
1712
BibRef
Earlier: A1, A4, A3, Only:
Nighttime Haze Removal with Glow and Multiple Light Colors,
ICCV15(226-234)
IEEE DOI
1602
Scattering media.
Atmospheric modeling
BibRef
Yang, M.,
Liu, J.,
Li, Z.,
Superpixel-Based Single Nighttime Image Haze Removal,
MultMed(20), No. 11, November 2018, pp. 3008-3018.
IEEE DOI
1810
Image color analysis, Atmospheric modeling,
Mathematical model, Signal processing algorithms,
weighted guided image filtering
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
Kim, G.[Guisik],
Kwon, J.[Junseok],
Deep Illumination-Aware Dehazing With Low-Light and Detail
Enhancement,
ITS(23), No. 3, March 2022, pp. 2494-2508.
IEEE DOI
2203
Lighting, Atmospheric modeling, Estimation, Task analysis,
Image color analysis, Atmospheric measurements, Brightness,
low-light enhancement
BibRef
Lv, J.W.[Jian-Wei],
Qian, F.[Feng],
Zhang, B.[Bao],
Low-light image haze removal with light segmentation and nonlinear
image depth estimation,
IET-IPR(16), No. 10, 2022, pp. 2623-2637.
DOI Link
2207
BibRef
Lin, S.[Sen],
Sun, P.H.[Peng-Hui],
Gao, H.W.[Hong-Wei],
Ju, Z.J.[Zhao-Jie],
Haze optical-model-based nighttime image dehazing by modifying
attenuation and atmospheric light,
JOSA-A(39), No. 10, October 2022, pp. 1893-1902.
DOI Link
2503
Machine vision, Mueller matrices, Optical imaging,
Polarimetric imaging, Rayleigh scattering, Wavelet transforms
BibRef
Zhou, H.[Hao],
Xiong, H.L.[Hai-Ling],
Li, C.[Chuan],
Jiang, W.W.[Wei-Wei],
Lu, K.Z.[Ke-Zhong],
Chen, N.[Nian],
Liu, Y.[Yun],
Single Image Dehazing Based on Weighted Variational Regularized Model,
IEICE(E104-D), No. 7, July 2021, pp. 961-969.
WWW Link.
2107
BibRef
Wang, W.H.[Wen-Hui],
Wang, A.[Anna],
Liu, C.[Chen],
Variational Single Nighttime Image Haze Removal With a Gray Haze-Line
Prior,
IP(31), 2022, pp. 1349-1363.
IEEE DOI
2202
Image color analysis, Atmospheric modeling, Colored noise,
Lighting, Task analysis, Meteorology, Estimation,
structure-aware variational framework
BibRef
Liu, Y.[Yun],
Yan, Z.S.[Zhong-Sheng],
Tan, J.[Jinge],
Li, Y.[Yuche],
Multi-Purpose Oriented Single Nighttime Image Haze Removal Based on
Unified Variational Retinex Model,
CirSysVideo(33), No. 4, April 2023, pp. 1643-1657.
IEEE DOI
2304
Lighting, Degradation, Reflectivity, Atmospheric modeling, Imaging,
Image restoration, Image color analysis, Nighttime haze removal,
gradient domain
BibRef
Liu, Y.[Yun],
Yan, Z.S.[Zhong-Sheng],
Wu, A.[Aimin],
Ye, T.[Tian],
Li, Y.[Yuche],
Nighttime Image Dehazing Based on Variational Decomposition Model,
NTIRE22(639-648)
IEEE DOI
2210
Degradation, Computational modeling, Noise reduction,
Lighting, Focusing
BibRef
Li, F.[Fei],
Wang, C.[Caiju],
Li, X.M.[Xiao-Mao],
Enhancing low-light images via dehazing principles: Essence and
method,
PRL(185), 2024, pp. 167-174.
Elsevier DOI
2410
Low-light image enhancement, Dehazing, Haze formation model, Image inversion
BibRef
Deng, J.W.[Jing-Wen],
Chan, P.P.K.[Patrick P.K.],
Yeung, D.S.[Daniel S.],
Real-world nighttime image dehazing using contrastive and adversarial
learning,
PR(165), 2025, pp. 111596.
Elsevier DOI
2505
Nighttime dehaze, Contrastive learning, Adversarial learning
BibRef
Liu, Y.[Yun],
Wang, X.R.[Xin-Ran],
Hu, E.[Enping],
Wang, A.Z.[An-Zhi],
Shiri, B.[Babak],
Lin, W.S.[Wei-Si],
VNDHR: Variational Single Nighttime Image Dehazing for Enhancing
Visibility in Intelligent Transportation Systems via Hybrid
Regularization,
ITS(26), No. 7, July 2025, pp. 10189-10203.
IEEE DOI
2507
Atmospheric modeling, Lighting, Degradation, Reflectivity,
Image color analysis, Scattering, Image restoration, Visualization,
stretching
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
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
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 Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Remote Sensing, Aerial, Satellite, Image Dehazing .