He, K.M.[Kai-Ming],
Sun, J.[Jian],
Tang, X.[Xiaoou],
Single Image Haze Removal Using Dark Channel Prior,
PAMI(33), No. 12, December 2011, pp. 2341-2353.
IEEE DOI
1110
BibRef
Earlier:
CVPR09(1956-1963).
IEEE DOI
0906
Award, CVPR. Dark channel prior is statistics of haze-free image -- most local patches
contain some pixels with low intensity in one color channel.
Depth map is a byproduct of haze removal.
See also Guided Image Filtering.
BibRef
Gibson, K.B.,
Vo, D.T.,
Nguyen, T.Q.,
An Investigation of Dehazing Effects on Image and Video Coding,
IP(21), No. 2, February 2012, pp. 662-673.
IEEE DOI
1201
BibRef
Ancuti, C.O.[Codruta Orniana],
Ancuti, C.[Cosmin],
Single Image Dehazing by Multi-Scale Fusion,
IP(22), No. 8, 2013, pp. 3271-3282.
IEEE DOI Single image dehazing; enhancing; outdoor images
1307
See also Color Balance and Fusion for Underwater Image Enhancement.
BibRef
Ancuti, C.O.[Codruta Orniana],
Ancuti, C.[Cosmin],
Bekaert, P.[Philippe],
Single Image Restoration of Outdoor Scenes,
CAIP11(II: 245-252).
Springer DOI
1109
BibRef
Ancuti, C.O.[Codruta O.],
Ancuti, C.[Cosmin],
Hermans, C.[Chris],
Bekaert, P.[Philippe],
A Fast Semi-inverse Approach to Detect and Remove the Haze from a
Single Image,
ACCV10(II: 501-514).
Springer DOI
1011
BibRef
And:
Image and Video Decolorization by Fusion,
ACCV10(I: 79-92).
Springer DOI
1011
BibRef
Park, D.[Dubok],
Han, D.K.[David K.],
Jeon, C.[Changwon],
Ko, H.S.[Han-Seok],
Fast Single Image De-Hazing Using Characteristics of RGB Channel of
Foggy Image,
IEICE(E96-D), No. 8, August 2013, pp. 1793-1799.
WWW Link.
1308
BibRef
Fang, F.,
Li, F.,
Zeng, T.,
Single Image Dehazing and Denoising: A Fast Variational Approach,
SIIMS(7), No. 2, 2014, pp. 969-996.
DOI Link
1407
BibRef
Li, B.[Bo],
Wang, S.H.[Shu-Hang],
Zheng, J.[Jin],
Zheng, L.P.[Li-Ping],
Single image haze removal using content-adaptive dark channel and
post enhancement,
IET-CV(8), No. 2, April 2014, pp. 131-140.
DOI Link
1407
brightness
BibRef
Park, H.[Hanhoon],
An Improved Single Image Haze Removal Algorithm Using Image
Segmentation,
IEICE(E97-D), No. 9, September 2014, pp. 2554-2558.
WWW Link.
1410
BibRef
Huang, S.C.[Shih-Chia],
Chen, B.H.[Bo-Hao],
Wang, W.J.[Wei-Jheng],
Visibility Restoration of Single Hazy Images Captured in Real-World
Weather Conditions,
CirSysVideo(24), No. 10, October 2014, pp. 1814-1824.
IEEE DOI
1411
atmospheric optics
BibRef
Zhang, J.[Jun],
Hu, S.Q.[Shi-Qiang],
A GPU-accelerated real-time single image de-hazing method using
pixel-level optimal de-hazing criterion,
RealTimeIP(9), No. 4, December 2014, pp. 661-672.
WWW Link.
1411
BibRef
Lai, Y.H.[Yi-Hsuan],
Chen, Y.L.[Yi-Lei],
Chiou, C.J.[Chuan-Ju],
Hsu, C.T.[Chiou-Ting],
Single-Image Dehazing via Optimal Transmission Map Under Scene Priors,
CirSysVideo(25), No. 1, January 2015, pp. 1-14.
IEEE DOI
1502
BibRef
Earlier: A1, A2, A4, Only:
Single image dehazing with optimal transmission map,
ICPR12(388-391).
WWW Link.
1302
image colour analysis
Or: Yi-Shuan?.
BibRef
Pan, X.,
Xie, F.,
Jiang, Z.,
Yin, J.,
Haze Removal for a Single Remote Sensing Image Based on Deformed Haze
Imaging Model,
SPLetters(22), No. 10, October 2015, pp. 1806-1810.
IEEE DOI
1506
Atmospheric modeling
BibRef
Zhu, Q.S.[Qing-Song],
Mai, J.M.[Jia-Ming],
Shao, L.[Ling],
A Fast Single Image Haze Removal Algorithm Using Color Attenuation
Prior,
IP(24), No. 11, November 2015, pp. 3522-3533.
IEEE DOI
1509
BibRef
Earlier:
Single Image Dehazing Using Color Attenuation Prior,
BMVC14(xx-yy).
HTML Version.
1410
image colour analysis
BibRef
Yu, T.[Teng],
Riaz, I.,
Piao, J.C.[Jing-Chun],
Shin, H.[Hyunchul],
Real-time single image dehazing using block-to-pixel interpolation
and adaptive dark channel prior,
IET-IPR(9), No. 9, 2015, pp. 725-734.
DOI Link
1509
Gaussian channels
BibRef
Riaz, I.[Irfan],
Yu, T.[Teng],
Rehman, Y.[Yawar],
Shin, H.C.[Hyun-Chul],
Single image dehazing via reliability guided fusion,
JVCIR(40, Part A), No. 1, 2016, pp. 85-97.
Elsevier DOI
1609
Dehaze
BibRef
Galdran, A.[Adrian],
Vazquez-Corral, J.[Javier],
Pardo, D.[David],
Bertalmío, M.[Marcelo],
Enhanced Variational Image Dehazing,
SIIMS(8), No. 3, 2015, pp. 1519-1546.
DOI Link
1511
BibRef
Earlier:
A Variational Framework for Single Image Dehazing,
CVPV14(259-270).
Springer DOI
1504
BibRef
Galdran, A.[Adrian],
Vazquez-Corral, J.[Javier],
Pardo, D.[David],
Bertalmío, M.[Marcelo],
Fusion-Based Variational Image Dehazing,
SPLetters(24), No. 2, February 2017, pp. 151-155.
IEEE DOI
1702
image enhancement
BibRef
Li, Z.G.[Zheng-Guo],
Zheng, J.H.[Jing-Hong],
Edge-Preserving Decomposition-Based Single Image Haze Removal,
IP(24), No. 12, December 2015, pp. 5432-5441.
IEEE DOI
1512
image filtering
BibRef
Li, Z.G.[Zheng-Guo],
Zheng, J.H.[Jing-Hong],
Single Image De-Hazing Using Globally Guided Image Filtering,
IP(27), No. 1, January 2018, pp. 442-450.
IEEE DOI
1712
edge detection, image denoising, image filtering,
image restoration, smoothing methods, G-GIF,
structure transfer
BibRef
Wang, D.[Dan],
Zhu, J.[Jubo],
Fast smoothing technique with edge preservation for single image
dehazing,
IET-CV(9), No. 6, 2015, pp. 950-959.
DOI Link
1512
computational complexity
BibRef
Li, W.J.,
Gu, B.,
Huang, J.T.,
Wang, S.Y.,
Wang, M.H.,
Single image visibility enhancement in gradient domain,
IET-IPR(6), No. 5, 2012, pp. 589-595.
DOI Link
1210
BibRef
Mi, Z.T.[Ze-Tian],
Zhou, H.[Huan],
Zheng, Y.J.[Yi-Jun],
Wang, M.H.[Ming-Hui],
Single Image Dehazing Via Multi-Scale Gradient Domain Contrast
Enhancement,
IET-IP(10), No. 3, 2016, pp. 206-214.
DOI Link
1603
gradient methods
BibRef
Jha, D.K.,
Gupta, B.,
Lamba, S.S.,
l2-norm-based prior for haze-removal from single image,
IET-CV(10), No. 5, 2016, pp. 331-341.
DOI Link
1609
image restoration
BibRef
Cai, B.[Bolun],
Xu, X.M.[Xiang-Min],
Jia, K.[Kui],
Qing, C.M.[Chun-Mei],
Tao, D.C.[Da-Cheng],
DehazeNet: An End-to-End System for Single Image Haze Removal,
IP(25), No. 11, November 2016, pp. 5187-5198.
IEEE DOI
1610
convolution
BibRef
Yu, F.,
Qing, C.M.[Chun-Mei],
Xu, X.M.[Xiang-Min],
Cai, B.[Bolun],
Image and video dehazing using view-based cluster segmentation,
VCIP16(1-4)
IEEE DOI
1701
Atmospheric modeling
BibRef
Ning, X.[Xin],
Li, W.J.[Wei-Jun],
Liu, W.J.[Wen-Jie],
A Fast Single Image Haze Removal Method Based on Human Retina Property,
IEICE(E100-D), No. 1, January 2017, pp. 211-214.
WWW Link.
1701
BibRef
Cui, T.[Tong],
Tian, J.D.[Jian-Dong],
Wang, E.[Ende],
Tang, Y.D.[Yan-Dong],
Single image dehazing by latent region-segmentation based transmission
estimation and weighted L 1-norm regularisation,
IET-IPR(11), No. 2, February 2017, pp. 145-154.
DOI Link
1703
BibRef
Xie, C.H.[Cong-Hua],
Qiao, W.W.[Wei-Wei],
Liu, Z.[Zhe],
Ying, W.H.[Wen-Hao],
Single image dehazing using kernel regression model and dark channel
prior,
SIViP(11), No. 4, May 2017, pp. 705-712.
WWW Link.
1704
BibRef
Liu, X.[Xin],
Zhang, H.[He],
Cheung, Y.M.[Yiu-Ming],
You, X.G.[Xin-Ge],
Tang, Y.Y.[Yuan Yan],
Efficient Single Image Dehazing and Denoising:
An Efficient Multi-Scale Correlated Wavelet Approach,
CVIU(162), No. 1, 2017, pp. 23-33.
Elsevier DOI
1710
Image, dehazing
BibRef
Zhang, H.[He],
Sindagi, V.[Vishwanath],
Patel, V.M.[Vishal M.],
Multi-Scale Single Image Dehazing Using Perceptual Pyramid Deep
Network,
Restoration18(1015-101509)
IEEE DOI
1812
Atmospheric modeling, Image color analysis, Mathematical model,
Decoding, Estimation, Scattering, Training
BibRef
Kaplan, N.H.,
Ayten, K.K.,
Dumlu, A.,
Single image dehazing based on multiscale product prior and application
to vision control,
SIViP(11), No. 8, November 2017, pp. 1389-1396.
WWW Link.
1710
BibRef
Ju, M.Y.[Ming-Ye],
Zhang, D.Y.[Deng-Yin],
Wang, X.M.[Xue-Mei],
Single image dehazing via an improved atmospheric scattering model,
VC(33), No. 12, December 2017, pp. 1613-1625.
WWW Link.
1710
BibRef
Ju, M.Y.[Ming-Ye],
Gu, Z.F.[Zhen-Fei],
Zhang, D.Y.[Deng-Yin],
Liu, J.[Jian],
Single Image Dehazing Using Invariance Principle,
IEICE(E100-D), No. 12, December 2017, pp. 3068-3072.
WWW Link.
1712
BibRef
Liu, Y.[Yun],
Chen, R.[Rui],
Shang, J.X.[Jin-Xia],
Wang, M.H.[Ming-Hui],
Single Image Haze Removal Using Structure-Aware Atmospheric Veil,
IEICE(E100-D), No. 11, November 2017, pp. 2729-2733.
WWW Link.
1711
BibRef
Bui, T.M.,
Kim, W.,
Single Image Dehazing Using Color Ellipsoid Prior,
IP(27), No. 2, February 2018, pp. 999-1009.
IEEE DOI
1712
Atmospheric modeling, Colored noise, Ellipsoids, Estimation,
Image color analysis, Robustness, Dehazing,
dark channel prior (DCP)
BibRef
Zhu, M.,
He, B.,
Wu, Q.,
Single Image Dehazing Based on Dark Channel Prior and Energy
Minimization,
SPLetters(25), No. 2, February 2018, pp. 174-178.
IEEE DOI
1802
image denoising, dark channel, energy function,
energy minimization, piecewise smoothness, single image dehazing,
single image dehazing
BibRef
Gao, Y.[Yakun],
Chen, H.[Haiyan],
Li, H.B.[Hai-Bin],
Zhang, W.M.[Wen-Ming],
Single image dehazing using local linear fusion,
IET-IPR(12), No. 5, May 2018, pp. 637-643.
DOI Link
1804
BibRef
Khmag, A.[Asem],
Al-Haddad, S.A.R.,
Ramli, A.R.[Abd Rahman],
Kalantar, B.[Bahareh],
Single image dehazing using second-generation wavelet transforms and
the mean vector L2-norm,
VC(34), No. 5, May 2018, pp. 675-688.
WWW Link.
1804
BibRef
Wang, W.[Wei],
He, C.[Chuanjiang],
Xia, X.G.[Xiang-Gen],
A constrained total variation model for single image dehazing,
PR(80), 2018, pp. 196-209.
Elsevier DOI
1805
Dehazing, Total variation, Variational method, Gradient projection algorithm
BibRef
Zhang, L.B.[Li-Bao],
Wang, S.Y.[Shi-Yi],
Wang, X.H.[Xiao-Han],
Saliency-based dark channel prior model for single image haze removal,
IET-IPR(12), No. 6, June 2018, pp. 1049-1055.
DOI Link
1805
BibRef
Zhang, L.B.[Li-Bao],
Wang, S.[Shan],
Wang, X.H.[Xiao-Han],
Single image dehazing based on bright channel prior model and
saliency analysis strategy,
IET-IPR(15), No. 5, 2021, pp. 1023-1031.
DOI Link
2106
BibRef
Zhang, L.B.[Li-Bao],
Wang, X.H.[Xiao-Han],
She, C.[Chen],
Single image haze removal based on saliency detection and dark
channel prior,
ICIP17(4292-4296)
IEEE DOI
1803
Image restoration, dark channel prior, haze removal,
salient detection, transmission refinement
BibRef
Song, Y.F.[Ya-Fei],
Li, J.[Jia],
Wang, X.G.[Xiao-Gang],
Chen, X.W.[Xiao-Wu],
Single Image Dehazing Using Ranking Convolutional Neural Network,
MultMed(20), No. 6, June 2018, pp. 1548-1560.
IEEE DOI
1805
Atmosphere, Feature extraction, Image color analysis, Meteorology,
Neural networks, Predictive models, Single image dehazing,
ranking layer
BibRef
Wang, Z.[Zhi],
Hou, G.J.[Guo-Jia],
Pan, Z.K.[Zhen-Kuan],
Wang, G.D.[Guo-Dong],
Single image dehazing and denoising combining dark channel prior and
variational models,
IET-CV(12), No. 4, June 2018, pp. 393-402.
DOI Link
1805
BibRef
Kang, C.,
Kim, G.,
Single Image Haze Removal Method Using Conditional Random Fields,
SPLetters(25), No. 6, June 2018, pp. 818-822.
IEEE DOI
1806
image colour analysis, image enhancement, image restoration,
image segmentation, conditional random fields, depth information,
single image haze removal
BibRef
Yan, J.[Jichao],
Liang, X.G.[Xiang-Guo],
Lin, M.G.[Mou-Guang],
Su, Z.[Zhuo],
Shi, X.H.[Xiao-Hong],
Luo, X.N.[Xiao-Nan],
A hybrid features learning model for single image haze prediction,
SIViP(12), No. 5, July 2018, pp. 1001-1008.
Springer DOI
WWW Link.
1806
BibRef
Santra, S.,
Mondal, R.,
Chanda, B.,
Learning a Patch Quality Comparator for Single Image Dehazing,
IP(27), No. 9, September 2018, pp. 4598-4607.
IEEE DOI
1807
feedforward neural nets, fog, image restoration,
learning (artificial intelligence), light scattering,
visibility enhancement
BibRef
Mondal, R.,
Santra, S.,
Chanda, B.,
Image Dehazing by Joint Estimation of Transmittance and Airlight
Using Bi-Directional Consistency Loss Minimized FCN,
Restoration18(1033-10338)
IEEE DOI
1812
Mathematical model, Estimation, Image color analysis, Lighting,
Convolution, Imaging, Bidirectional control
BibRef
Ju, M.,
Ding, C.,
Zhang, D.,
Guo, Y.J.,
Gamma-Correction-Based Visibility Restoration for Single Hazy Images,
SPLetters(25), No. 7, July 2018, pp. 1084-1088.
IEEE DOI
1807
approximation theory, image restoration, GDM, benchmark images,
blocking artifact suppression,
maximum contrast
BibRef
Liu, Q.,
Gao, X.,
He, L.,
Lu, W.,
Single Image Dehazing With Depth-Aware Non-Local Total Variation
Regularization,
IP(27), No. 10, October 2018, pp. 5178-5191.
IEEE DOI
1808
Atmospheric modeling, Adaptation models, Imaging, Optimization,
Image color analysis, Transform coding, Image edge detection,
adaptive regularization
BibRef
Shi, L.,
Chen, B.,
Huang, S.,
Larin, A.O.,
Seredin, O.S.,
Kopylov, A.V.,
Kuo, S.,
Removing Haze Particles From Single Image via Exponential Inference
With Support Vector Data Description,
MultMed(20), No. 9, September 2018, pp. 2503-2512.
IEEE DOI
1809
image colour analysis, image enhancement, image restoration,
particle swarm optimisation, support vector data description,
underexposed effects
BibRef
Wang, A.,
Wang, W.,
Liu, J.,
Gu, N.,
AIPNet: Image-to-Image Single Image Dehazing With Atmospheric
Illumination Prior,
IP(28), No. 1, January 2019, pp. 381-393.
IEEE DOI
1810
Atmospheric modeling, Scattering, Image restoration, Lighting,
Meteorology, Image color analysis, Wiener filters, Dehazing,
image restoration
BibRef
Li, B.,
Ren, W.,
Fu, D.,
Tao, D.,
Feng, D.,
Zeng, W.,
Wang, Z.,
Benchmarking Single-Image Dehazing and Beyond,
IP(28), No. 1, January 2019, pp. 492-505.
IEEE DOI
1810
Task analysis, Benchmark testing, Measurement,
Atmospheric modeling, Training, Dehazing, detection,
evaluations
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
Wang, Y.[Yao],
Fu, F.F.[Fang-Fa],
Lai, F.C.[Feng-Chang],
Xu, W.Z.[Wei-Zhe],
Shi, J.J.[Jin-Jin],
Wang, J.X.[Jin-Xiang],
Haze removal algorithm based on single-images with chromatic
properties,
SP:IC(72), 2019, pp. 80-91.
Elsevier DOI
1902
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
An efficient haze removal algorithm using chromatic properties,
ICIP17(4267-4271)
IEEE DOI
1803
dehazing, ADAS, Image restoration, Chromatic properties.
Atmospheric modeling, Image color analysis, Image quality,
Meteorology, Roads, Scattering, ADAS, Dehazing,
chromatic properties
BibRef
Gao, Y.,
Hu, H.,
Li, B.,
Guo, Q.,
Pu, S.,
Detail Preserved Single Image Dehazing Algorithm Based on Airlight
Refinement,
MultMed(21), No. 2, February 2019, pp. 351-362.
IEEE DOI
1902
Scattering, Atmospheric modeling, Estimation, Image edge detection,
Image color analysis, Adaptation models, Convolution, Dehazing,
haze removal
BibRef
Zhao, D.[Dong],
Xu, L.[Long],
Yan, Y.H.[Yi-Hua],
Chen, J.[Jie],
Duan, L.Y.[Ling-Yu],
Multi-Scale Optimal Fusion Model for Single Image Dehazing,
SP:IC(74), 2019, pp. 253-265.
Elsevier DOI
1904
Single image dehazing, Multi-scale dehazing,
Dark channel prior, Multi-scale Optimal Fusion
BibRef
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
Cardinal color fusion network for single image haze removal,
MVA(30), No. 2, March 2019, pp. 231-242.
WWW Link.
1904
BibRef
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
RYF-Net: Deep Fusion Network for Single Image Haze Removal,
IP(29), No. 1, 2020, pp. 628-640.
IEEE DOI
1910
computer vision, convolutional neural nets, feature extraction,
image colour analysis, image denoising, image enhancement,
CNN
BibRef
Liu, Z.,
Xiao, B.,
Alrabeiah, M.,
Wang, K.,
Chen, J.,
Single Image Dehazing with a Generic Model-Agnostic Convolutional
Neural Network,
SPLetters(26), No. 6, June 2019, pp. 833-837.
IEEE DOI
1906
computer vision, convolutional neural nets, image denoising,
image enhancement, image restoration, single image dehazing,
residual learning
BibRef
Yang, X.,
Li, H.,
Fan, Y.,
Chen, R.,
Single Image Haze Removal via Region Detection Network,
MultMed(21), No. 10, October 2019, pp. 2545-2560.
IEEE DOI
1910
convolutional neural nets, feature extraction,
image colour analysis, image denoising, image enhancement,
detail enhancement
BibRef
Zhang, J.,
Tao, D.,
FAMED-Net: A Fast and Accurate Multi-Scale End-to-End Dehazing
Network,
IP(29), No. 1, 2020, pp. 72-84.
IEEE DOI
1910
computer vision, convolutional neural nets, image coding,
image restoration, single image dehazing, dehazing models, encoder,
deep neural network
BibRef
Kim, S.E.,
Park, T.H.,
Eom, I.K.,
Fast Single Image Dehazing Using Saturation Based Transmission Map
Estimation,
IP(29), No. 1, 2020, pp. 1985-1998.
IEEE DOI
1912
Atmospheric modeling, Image color analysis, Scattering, Filtering,
Estimation, Training, Deep learning, Single image dehazing,
white balance
BibRef
Hodges, C.[Cameron],
Bennamoun, M.[Mohammed],
Rahmani, H.[Hossein],
Single image dehazing using deep neural networks,
PRL(128), 2019, pp. 70-77.
Elsevier DOI
1912
Deep learing, Siamese networks, Single image dehazing, Image dehazing
BibRef
Colores, S.S.[Sebastián Salazar],
Moya-Sánchez, E.U.[Eduardo Ulises],
Ramos-Arreguín, J.M.[Juan-Manuel],
Cabal-Yépez, E.[Eduardo],
Statistical multidirectional line dark channel for single-image
dehazing,
IET-IPR(13), No. 14, 12 December 2019, pp. 2877-2887.
DOI Link
1912
BibRef
Gu, Z.[Ziqi],
Zhan, Z.Q.[Zong-Qian],
Yuan, Q.Q.A.[Qiang-Qi-Ang],
Yan, L.[Li],
Single Remote Sensing Image Dehazing Using a Prior-Based Dense
Attentive Network,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Wu, Q.B.[Qing-Bo],
Zhang, J.G.[Jin-Gang],
Ren, W.Q.[Wen-Qi],
Zuo, W.M.[Wang-Meng],
Cao, X.C.[Xiao-Chun],
Accurate Transmission Estimation for Removing Haze and Noise From a
Single Image,
IP(29), 2020, pp. 2583-2597.
IEEE DOI
2001
Noise reduction, Semantics, Noise measurement, Estimation,
Image segmentation, Noise level, Image edge detection,
semantic segmentation
BibRef
Golts, A.,
Freedman, D.,
Elad, M.,
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss,
IP(29), 2020, pp. 2692-2701.
IEEE DOI
2001
Energy functions, deep neural networks, unsupervised learning,
single image dehazing, dark channel prior
BibRef
Shin, J.,
Kim, M.,
Paik, J.,
Lee, S.,
Radiance-Reflectance Combined Optimization and Structure-Guided
L_0-Norm for Single Image Dehazing,
MultMed(22), No. 1, January 2020, pp. 30-44.
IEEE DOI
2001
Image color analysis, Atmospheric modeling, Histograms,
Image edge detection, Optimization, Estimation, Cameras, L _0-norm,
guided filtering
BibRef
Nnolim, U.A.[Uche A.],
Improved Single Image De-Hazing Via Sky Region Detection,
Classification and Illumination Refinement,
IJIG(19), No. 4 2019, pp. 1950021.
DOI Link
2001
BibRef
Raikwar, S.C.[Suresh Chandra],
Tapaswi, S.[Shashikala],
Tight lower bound on transmission for single image dehazing,
VC(36), No. 1, January 2020, pp. 191-209.
WWW Link.
2001
BibRef
Raikwar, S.C.[Suresh Chandra],
Tapaswi, S.[Shashikala],
Lower Bound on Transmission Using Non-Linear Bounding Function in
Single Image Dehazing,
IP(29), 2020, pp. 4832-4847.
IEEE DOI
2003
Image color analysis, Meteorology, Atmospheric modeling,
Estimation, Image edge detection, Scattering, Visualization,
noise removal
BibRef
Ren, W.Q.[Wen-Qi],
Pan, J.S.[Jin-Shan],
Zhang, H.[Hua],
Cao, X.C.[Xiao-Chun],
Yang, M.H.[Ming-Hsuan],
Single Image Dehazing via Multi-scale Convolutional Neural Networks
with Holistic Edges,
IJCV(128), No. 1, January 2020, pp. 240-259.
Springer DOI
2002
BibRef
Earlier: A1, A3, A2, A4, A5:
Plus A2
Liu, S.[Si],
Single Image Dehazing via Multi-Scale Convolutional Neural Networks,
ECCV16(II: 154-169).
Springer DOI
1611
See also Single Image Super-resolution via a Holistic Attention Network.
BibRef
Berman, D.[Dana],
Treibitz, T.[Tali],
Avidan, S.[Shai],
Single Image Dehazing Using Haze-Lines,
PAMI(42), No. 3, March 2020, pp. 720-734.
IEEE DOI
2002
BibRef
Earlier:
Non-local Image Dehazing,
CVPR16(1674-1682)
IEEE DOI
1612
Image color analysis, Atmospheric modeling, Cameras,
Clustering algorithms, Estimation, Channel estimation, haze removal
See also Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset.
BibRef
Yeh, C.,
Huang, C.,
Kang, L.,
Multi-Scale Deep Residual Learning-Based Single Image Haze Removal
via Image Decomposition,
IP(29), 2020, pp. 3153-3167.
IEEE DOI
2002
Haze removal, single image dehazing, deep learning,
deep residual learning, U-Net, convolutional neural networks,
image restoration
BibRef
Zhang, S.D.[Sheng-Dong],
He, F.Z.[Fa-Zhi],
Ren, W.Q.[Wen-Qi],
Yao, J.[Jian],
Joint learning of image detail and transmission map for single image
dehazing,
VC(36), No. 2, February 2020, pp. 305-316.
WWW Link.
2002
BibRef
Li, C.,
Guo, C.,
Guo, J.,
Han, P.,
Fu, H.,
Cong, R.,
PDR-Net: Perception-Inspired Single Image Dehazing Network With
Refinement,
MultMed(22), No. 3, March 2020, pp. 704-716.
IEEE DOI
2003
Atmospheric modeling, Image color analysis, Visualization,
Training data, Loss measurement, Image reconstruction,
image refinement
BibRef
Gao, Y.[Yin],
Li, Q.M.[Qi-Ming],
Li, J.[Jun],
Single image dehazing via a dual-fusion method,
IVC(94), 2020, pp. 103868.
Elsevier DOI
2003
Image dehazing, Multi-region fusion, Exposure fusion,
New speckle reducing anisotropic diffusion model
BibRef
Yang, M.[Minmin],
Liu, J.[Jianchang],
Li, Z.[Zhengguo],
Tan, S.[Shubin],
Pre-processing for single image dehazing,
SP:IC(83), 2020, pp. 115777.
Elsevier DOI
2003
Single image haze removal, Weighted guided image filtering,
Pre-processing, Noise amplification, Color distortion
BibRef
Park, J.,
Han, D.K.,
Ko, H.,
Fusion of Heterogeneous Adversarial Networks for Single Image
Dehazing,
IP(29), 2020, pp. 4721-4732.
IEEE DOI
2003
Atmospheric modeling, Image color analysis, Training, Scattering,
Estimation, Generative adversarial networks,
fusion method
BibRef
Lu, Z.,
Long, B.,
Yang, S.,
Saturation Based Iterative Approach for Single Image Dehazing,
SPLetters(27), 2020, pp. 665-669.
IEEE DOI
2005
Mathematical model, Brightness, Image color analysis,
Atmospheric modeling, Iterative methods, Image restoration,
saturation
BibRef
Hu, H.,
Zhang, H.,
Zhao, Z.,
Li, B.,
Zheng, J.,
Adaptive Single Image Dehazing Using Joint Local-Global Illumination
Adjustment,
MultMed(22), No. 6, June 2020, pp. 1485-1495.
IEEE DOI
2005
Lighting, Atmospheric modeling, Image color analysis, Estimation,
Scattering, Adaptation models, Image edge detection,
single image haze removal
BibRef
Chen, W.,
Fang, H.,
Ding, J.,
Kuo, S.,
PMHLD: Patch Map-Based Hybrid Learning DehazeNet for Single Image
Haze Removal,
IP(29), 2020, pp. 6773-6788.
IEEE DOI
2007
Image color analysis, Distortion,
Generative adversarial networks, Prediction algorithms,
bi-attentive generative adversarial network
BibRef
Gui, B.[Bian],
Zhu, Y.H.[Yu-Hua],
Zhen, T.[Tong],
Adaptive single image dehazing method based on support vector machine,
JVCIR(70), 2020, pp. 102792.
Elsevier DOI
2007
SVM, Adaptive dehazing, Automatic binary classification,
Quality evaluation index
BibRef
Ngo, D.[Dat],
Lee, S.[Seungmin],
Kang, B.[Bongsoon],
Robust Single-Image Haze Removal Using Optimal Transmission Map and
Adaptive Atmospheric Light,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Li, B.[Bin],
Zhao, J.J.[Jing-Juan],
Fu, H.[Hui],
DLT-Net: deep learning transmittance network for single image haze
removal,
SIViP(14), No. 6, September 2020, pp. 1245-1253.
WWW Link.
2008
BibRef
Fang, F.,
Wang, T.,
Wang, Y.,
Zeng, T.,
Zhang, G.,
Variational Single Image Dehazing for Enhanced Visualization,
MultMed(22), No. 10, October 2020, pp. 2537-2550.
IEEE DOI
2009
Image color analysis, Atmospheric modeling, Task analysis,
Analytical models, Meteorology, Scattering, Image restoration,
ADMM
BibRef
Zhang, Y.,
Wang, P.,
Fan, Q.,
Bao, F.,
Yao, X.,
Zhang, C.,
Single Image Numerical Iterative Dehazing Method Based on Local
Physical Features,
CirSysVideo(30), No. 10, October 2020, pp. 3544-3557.
IEEE DOI
2010
Atmospheric modeling, Image restoration, Image color analysis,
Estimation, Channel estimation, Iterative algorithms, Single image,
local physical features
BibRef
Gautam, S.,
Gandhi, T.K.,
Panigrahi, B.K.,
An Improved Air-Light Estimation Scheme for Single Haze Images Using
Color Constancy Prior,
SPLetters(27), 2020, pp. 1695-1699.
IEEE DOI
1806
Estimation, Image color analysis, Atmospheric modeling, Indexes,
Brightness, Computational modeling, Channel estimation,
dehazing
BibRef
Wang, C.[Cong],
Fan, W.S.[Wan-Shu],
Wu, Y.T.[Yu-Tong],
Su, Z.X.[Zhi-Xun],
Weakly supervised single image dehazing,
JVCIR(72), 2020, pp. 102897.
Elsevier DOI
1806
Image dehazing, Weakly supervised,
Convolutional neural network (CNN), Multi-level multi-scale block
BibRef
Sun, Z.Y.[Zi-Yi],
Zhang, Y.F.[Yun-Feng],
Bao, F.X.[Fang-Xun],
Shao, K.[Kai],
Liu, X.X.[Xin-Xin],
Zhang, C.M.[Cai-Ming],
ICycleGAN: Single image dehazing based on iterative dehazing model
and CycleGAN,
CVIU(203), 2021, pp. 103133.
Elsevier DOI
2101
Single-image dehazing, Learning-based methods,
Physical model, Iterative dehazing
BibRef
Sahu, G.[Geet],
Seal, A.[Ayan],
Krejcar, O.[Ondrej],
Yazidi, A.[Anis],
Single image dehazing using a new color channel,
JVCIR(74), 2021, pp. 103008.
Elsevier DOI
2101
Image dehazing, Atmospheric light, Radiance, Illuminance scaling factor
BibRef
Chaitanya, B.S.N.V.,
Mukherjee, S.[Snehasis],
Single image dehazing using improved cycleGAN,
JVCIR(74), 2021, pp. 103014.
Elsevier DOI
2101
CycleGAN, Cyclic consistency loss, AOD-NET,
Single image dehazing, SSIM loss
BibRef
Zhu, H.,
Cheng, Y.,
Peng, X.,
Zhou, J.T.,
Kang, Z.,
Lu, S.,
Fang, Z.,
Li, L.,
Lim, J.H.,
Single-Image Dehazing via Compositional Adversarial Network,
Cyber(51), No. 2, February 2021, pp. 829-838.
IEEE DOI
2101
Generators, Generative adversarial networks,
Atmospheric modeling, Feature extraction, Image color analysis,
image processing
BibRef
Wang, C.,
Chen, R.,
Lu, Y.,
Yan, Y.,
Wang, H.,
Recurrent Context Aggregation Network for Single Image Dehazing,
SPLetters(28), 2021, pp. 419-423.
IEEE DOI
2103
Image color analysis, Feature extraction, Convolution, Decoding,
Visual perception, Measurement, Image restoration,
deep recurrent mechanism
BibRef
Zhou, Z.R.[Zhao-Run],
Shi, Z.H.[Zheng-Hao],
CGGAN: a context-guided generative adversarial network for single image
dehazing,
IET-IPR(14), No. 15, 15 December 2020, pp. 3982-3988.
DOI Link
2103
BibRef
Zhao, S.,
Zhang, L.,
Shen, Y.,
Zhou, Y.,
RefineDNet: A Weakly Supervised Refinement
Framework for Single Image Dehazing,
IP(30), 2021, pp. 3391-3404.
IEEE DOI
2103
Training, Image restoration, Learning systems,
Atmospheric modeling, Image color analysis, unpaired dehazing dataset
BibRef
Li, B.Y.[Bo-Yun],
Gou, Y.B.[Yuan-Biao],
Liu, J.Z.[Jerry Zitao],
Zhu, H.,
Zhou, J.T.Y.[Joey Tian-Yi],
Peng, X.[Xi],
Zero-Shot Image Dehazing,
IP(29), 2020, pp. 8457-8466.
IEEE DOI
2008
Single image dehazing, unsupervised, zero-shot
BibRef
Li, B.Y.[Bo-Yun],
Gou, Y.B.[Yuan-Biao],
Gu, S.H.[Shu-Hang],
Liu, J.Z.[Jerry Zitao],
Zhou, J.T.Y.[Joey Tian-Yi],
Peng, X.[Xi],
You Only Look Yourself: Unsupervised and Untrained Single Image
Dehazing Neural Network,
IJCV(129), No. 5, May 2021, pp. 1754-1767.
Springer DOI
2105
BibRef
Zhang, X.Q.[Xiao-Qin],
Jiang, R.H.[Run-Hua],
Wang, T.[Tao],
Luo, W.H.[Wen-Han],
Single Image Dehazing via Dual-Path Recurrent Network,
IP(30), 2021, pp. 5211-5222.
IEEE DOI
2106
Image restoration, Feature extraction, Image reconstruction,
Estimation, Atmospheric modeling, Convolution, Scattering,
parallel interaction function
BibRef
Yi, Q.[Qiaosi],
Jiang, A.[Aiwen],
Deng, X.L.[Xiao-Lin],
Liu, C.H.[Chang-Hong],
MSNet: A novel end-to-end single image dehazing network with multiple
inter-scale dense skip-connections,
IET-IPR(15), No. 1, 2021, pp. 143-154.
DOI Link
2106
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
Nnolim, U.A.[Uche A.],
Single Image De-Hazing via Multiscale Wavelet Decomposition and
Estimation with Fractional Gradient-Anisotropic Diffusion Fusion,
IJIG(21), No. 3, July 2021, pp. 2150032.
DOI Link
2107
BibRef
Zhou, G.[Guangbin],
He, L.F.[Li-Feng],
Qi, Y.[Yong],
Yang, M.M.[Mei-Mei],
Zhao, X.[Xiao],
Chao, Y.[Yuyan],
An improved algorithm using weighted guided coefficient and union
self-adaptive image enhancement for single image haze removal,
IET-IPR(15), No. 11, 2021, pp. 2680-2692.
DOI Link
2108
BibRef
Singh, K.[Kavinder],
Parihar, A.S.[Anil Singh],
Variational optimization based single image dehazing,
JVCIR(79), 2021, pp. 103241.
Elsevier DOI
2109
Image dehazing, Transmission, Atmospheric light, Haze
BibRef
Wang, Y.[Yingbo],
Cao, J.[Jie],
Rizvi, S.[Saad],
Hao, Q.[Qun],
Single Haze Image Restoration Under Non-Uniform Dense Scattering
Media,
SPLetters(28), 2021, pp. 1625-1629.
IEEE DOI
2109
Image restoration, Scattering, Image color analysis,
Optical filters, Atmospheric modeling, Estimation,
block optimization
BibRef
Zhu, X.[Xinshan],
Li, S.[Shuoshi],
Gan, Y.D.[Yong-Dong],
Zhang, Y.[Yun],
Sun, B.[Biao],
Multi-Stream Fusion Network With Generalized Smooth L1 Loss for
Single Image Dehazing,
IP(30), 2021, pp. 7620-7635.
IEEE DOI
2109
Training, Measurement, Image resolution, Atmospheric modeling,
Scattering, Streaming media, Performance gain, Image dehazing,
supervision learning
BibRef
Li, H.[Hui],
Wu, Q.[Qingbo],
Ngan, K.N.[King Ngi],
Li, H.L.[Hong-Liang],
Meng, F.[Fanman],
Single Image Dehazing Via Region Adaptive Two-Shot Network,
MultMedMag(28), No. 3, July 2021, pp. 97-106.
IEEE DOI
2109
Image restoration, Lighting, Feature extraction, Convolution,
Atmospheric modeling, region-adaptive fusion
BibRef
Li, H.[Hui],
Wu, Q.[Qingbo],
Li, H.,
Ngan, K.N.[King Ngi],
Li, H.L.[Hong-Liang],
Meng, F.[Fanman],
Single Image Dehazing Via Artificial Multiple Shots And
Multidimensional Context,
ICIP20(1023-1027)
IEEE DOI
2011
Cognition, Training, Image restoration, Feeds, Convolution,
Nonhomogeneous media, Atmospheric modeling,
multidimensional context
BibRef
Zhou, H.[Hao],
Zhang, Z.Z.[Zhuang-Zhuang],
Liu, Y.[Yun],
Xuan, M.Y.[Mei-Yan],
Jiang, W.W.[Wei-Wei],
Xiong, H.L.[Hai-Ling],
Single Image Dehazing Algorithm Based on Modified Dark Channel Prior,
IEICE(E104-D), No. 10, October 2021, pp. 1758-1761.
WWW Link.
2110
BibRef
Pan, Y.[Yongpeng],
Chen, Z.[Zhenxue],
Li, X.[Xianming],
He, W.[Weikai],
Single-Image Dehazing via Dark Channel Prior and Adaptive Threshold,
IJIG(21), No. 4, October 2021 2021, pp. 2150053.
DOI Link
2110
BibRef
Pal, T.[Tannistha],
A Robust Method for Dehazing of Single Image with Sky Region Detection
and Segmentation,
IJIG(21), No. 4, October 2021 2021, pp. 2150045.
DOI Link
2110
BibRef
Wang, N.[Nian],
Cui, Z.[Zhigao],
Su, Y.[Yanzhao],
He, C.[Chuan],
Lan, Y.[Yunwei],
Li, A.[Aihua],
Prior-guided multiscale network for single-image dehazing,
IET-IPR(15), No. 13, 2021, pp. 3368-3379.
DOI Link
2110
BibRef
Mehta, A.[Aditya],
Sinha, H.[Harsh],
Mandal, M.[Murari],
Narang, P.[Pratik],
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial
Image Dehazing,
WACV21(413-422)
IEEE DOI
2106
Degradation, Visualization, Image color analysis, Catalysts,
Generative adversarial networks, Task analysis
BibRef
Wei, P.[Pan],
Wang, X.[Xin],
Wang, L.[Lei],
Xiang, J.[Ji],
SIDGAN: Single Image Dehazing without Paired Supervision,
ICPR21(2958-2965)
IEEE DOI
2105
Training, Visualization, Manuals, Generative adversarial networks,
Pattern recognition, SIDGAN, color-consistency loss, unsupervised dehazing
BibRef
Anvari, Z.[Zahra],
Athitsos, V.[Vassilis],
Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze,
ISVC20(I:436-447).
Springer DOI
2103
BibRef
Cao, X.,
Dong, J.,
Zhou, S.,
Zhao, S.,
Zhang, D.,
Single image dehazing algorithm using generative adversarial network
based on feature pyramid network,
CVIDL20(48-53)
IEEE DOI
2102
convolutional neural nets, feature extraction,
image colour analysis, image enhancement, image restoration,
MobileNet-V2
BibRef
Wang, C.,
Zou, Y.,
Chen, Z.,
ABC-NET: Avoiding Blocking Effect Color Shift Network for Single
Image Dehazing Via Restraining Transmission Bias,
ICIP20(1053-1057)
IEEE DOI
2011
Image color analysis, Atmospheric modeling, Scattering,
Mathematical model, Correlation, Training, Propagation losses,
blocking effect avoiding
BibRef
Yan, L.,
Zheng, W.,
Gou, C.,
Wang, F.Y.,
Feature Aggregation Attention Network for Single Image Dehazing,
ICIP20(923-927)
IEEE DOI
2011
Convolution, Atmospheric modeling, Kernel, Image color analysis,
Task analysis, Training, Dehazing, image restoration, deep CNN
BibRef
Deng, Q.L.[Qi-Li],
Huang, Z.[Ziling],
Tsai, C.C.[Chung-Chi],
Lin, C.W.[Chia-Wen],
Hardgan: A Haze-aware Representation Distillation Gan for Single Image
Dehazing,
ECCV20(VI:722-738).
Springer DOI
2011
BibRef
Shen, J.,
Li, Z.,
Yu, L.,
Xia, G.,
Yang, W.,
Implicit Euler ODE Networks for Single-Image Dehazing,
VAS20(877-886)
IEEE DOI
2008
Atmospheric modeling, Task analysis, Convolution, Neural networks,
Image color analysis, Visualization, Scattering
BibRef
Huang, B.,
Li, Z.,
Yang, C.,
Sun, F.,
Song, Y.,
Single Satellite Optical Imagery Dehazing using SAR Image Prior Based
on conditional Generative Adversarial Networks,
WACV20(1795-1802)
IEEE DOI
2006
Synthetic aperture radar, Satellites, Remote sensing,
Task analysis, Optical imaging, Optical sensors
BibRef
Deng, Z.,
Zhu, L.,
Hu, X.,
Fu, C.,
Xu, X.,
Zhang, Q.,
Qin, J.,
Heng, P.,
Deep Multi-Model Fusion for Single-Image Dehazing,
ICCV19(2453-2462)
IEEE DOI
2004
convolutional neural nets, feature extraction,
image colour analysis, image enhancement, image fusion, Solid modeling
BibRef
Liu, C.G.[Chen-Guang],
Tao, L.[Li],
Kim, Y.T.[Yeong-Taeg],
VLW-NET: A Very Light-weight Convolutional Neural Network (CNN) for
Single Image Dehazing,
ACIVS20(433-442).
Springer DOI
2003
BibRef
Chen, W.T.[Wei-Ting],
Ding, J.J.[Jian-Jiun],
Kuo, S.Y.[Sy-Yen],
PMS-Net: Robust Haze Removal Based on Patch Map for Single Images,
CVPR19(11673-11681).
IEEE DOI
2002
BibRef
Madadikhaljan, M.,
Bahmanyar, R.,
Azimi, S.M.,
Reinartz, P.,
Sörgel, U.,
Single-Image Dehazing on Aerial Imagery Using Convolutional Neural
Networks,
SMPR19(687-692).
DOI Link
1912
BibRef
Chen, R.,
Lai, E.M.,
Convolutional Autoencoder For Single Image Dehazing,
ICIP19(4464-4468)
IEEE DOI
1910
Single image dehazing, autoencoder, convolutional neural network
BibRef
Chen, X.,
Lu, H.,
Cheng, K.,
Ma, Y.,
Zhou, Q.,
Zhao, Y.,
Sequentially Refined Spatial and Channel-Wise Feature Aggregation in
Encoder-Decoder Network for Single Image Dehazing,
ICIP19(2776-2780)
IEEE DOI
1910
single image dehazing, non-local operation, squeeze-and-excitation module
BibRef
Huang, L.Y.[Lu-Yao],
Yin, J.L.[Jia-Li],
Chen, B.H.[Bo-Hao],
Ye, S.Z.[Shao-Zhen],
Towards Unsupervised Single Image Dehazing With Deep Learning,
ICIP19(2741-2745)
IEEE DOI
1910
Image dehazing, unsupervised learning, transmission estimation
BibRef
Yang, H.,
Fu, Y.,
Wavelet U-Net and the Chromatic Adaptation Transform for Single Image
Dehazing,
ICIP19(2736-2740)
IEEE DOI
1910
Wavelet transform, U-net, single image dehazing, chromatic adaptation transform
BibRef
He, L.,
Bai, J.,
Yang, M.,
Feature Aggregation Convolution Network for Haze Removal,
ICIP19(2806-2810)
IEEE DOI
1910
Single Image Dehazing, Feature Aggregation, Generative Adversarial Networks
BibRef
Dudhane, A.,
Murala, S.,
CDNet: Single Image De-Hazing Using Unpaired Adversarial Training,
WACV19(1147-1155)
IEEE DOI
1904
aerosols, convolutional neural nets, image colour analysis,
image enhancement, image restoration,
Task analysis
See also Single Image Depth Estimation Using Deep Adversarial Training.
BibRef
Ren, W.,
Ma, L.,
Zhang, J.,
Pan, J.,
Cao, X.,
Liu, W.,
Yang, M.,
Gated Fusion Network for Single Image Dehazing,
CVPR18(3253-3261)
IEEE DOI
1812
Image color analysis, Logic gates, Image restoration,
Atmospheric modeling, Decoding, Estimation, Attenuation
BibRef
Li, R.,
Pan, J.,
Li, Z.,
Tang, J.,
Single Image Dehazing via Conditional Generative Adversarial Network,
CVPR18(8202-8211)
IEEE DOI
1812
Generators, Generative adversarial networks,
Image color analysis, Decoding, Image restoration, Visualization
BibRef
Du, Y.,
Li, X.,
Recursive Deep Residual Learning for Single Image Dehazing,
Restoration18(843-8437)
IEEE DOI
1812
Image denoising, Noise reduction, Attenuation, Estimation,
Image color analysis, Atmosphere
BibRef
Engin, D.,
Genc, A.,
Ekenel, H.K.,
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing,
Restoration18(938-9388)
IEEE DOI
1812
Atmospheric modeling, Scattering, Laplace equations,
Image color analysis, Generators, Image resolution, Meteorology
BibRef
Suárez, P.L.,
Sappa, A.D.,
Vintimilla, B.X.,
Hammoud, R.I.,
Deep Learning Based Single Image Dehazing,
PBVS18(1250-12507)
IEEE DOI
1812
Atmospheric modeling, Generators,
Generative adversarial networks, Convergence, Image color analysis
BibRef
Xiao, J.S.[Jin-Sheng],
Luo, L.[Li],
Liu, E.[Enyu],
Lei, J.F.[Jun-Feng],
Klette, R.[Reinhard],
Single-image Dehazing Algorithm Based on Convolutional Neural
Networks,
ICPR18(1259-1264)
IEEE DOI
1812
Atmospheric modeling, Deconvolution, Convolution, Scattering,
Feature extraction, Convolutional neural networks, Training
BibRef
Li, B.,
Lai, Y.,
Wu, C.,
Liu, Y.,
Fast Single Image Dehazing via Positive Correlation,
ICPR18(2020-2025)
IEEE DOI
1812
Atmospheric modeling, Scattering, Image restoration, Correlation,
Time complexity, Image color analysis, Computer vision, dehazing,
depth estimating
BibRef
Shen, L.,
Yue, Z.,
Chen, Q.,
Feng, F.,
Ma, J.,
Deep joint rain and haze removal from a single image,
ICPR18(2821-2826)
IEEE DOI
1812
Rain, Wavelet transforms, Mathematical model, Feature extraction,
Convolutional neural networks, Tensile stress
BibRef
Swami, K.,
Das, S.K.,
CANDY: Conditional Adversarial Networks based End-to-End System for
Single Image Haze Removal,
ICPR18(3061-3067)
IEEE DOI
1812
Generators, Convolution, Deconvolution, Estimation, Training,
Optimization, Generative adversarial networks
BibRef
Ki, S.,
Sim, H.,
Choi, J.,
Seo, S.,
Kim, S.,
Kim, M.,
Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN
with Receptive Field Sizes Enlarged for Single Ultra-High Resolution
Image Dehazing,
Restoration18(930-9307)
IEEE DOI
1812
BibRef
And: A2, A1, A3, A4, A5, A6:
High-Resolution Image Dehazing with Respect to Training Losses and
Receptive Field Sizes,
Restoration18(1025-10257)
IEEE DOI
1812
Decoding, Generators,
Generative adversarial networks, Image resolution, Convolution, Interpolation.
Training, Task analysis, Image enhancement.
BibRef
Yang, D.[Dong],
Sun, J.[Jian],
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single
Image Dehazing,
ECCV18(VII: 729-746).
Springer DOI
1810
BibRef
Huang, Y.,
Wang?, Y.,
Su?, Z.,
Single Image Dehazing Via a Joint Deep Modeling,
ICIP18(2840-2844)
IEEE DOI
1809
Estimation, Atmospheric modeling, Optimization, Plugs, Imaging,
Convolution, Jointly dehazing, residual learning,
deep CNN
BibRef
Dudhane, A.,
Murala, S.,
C^2MSNet: A Novel Approach for Single Image Haze Removal,
WACV18(1397-1404)
IEEE DOI
1806
feedforward neural nets, image colour analysis, image denoising,
image enhancement, image fusion, image restoration,
Matlab
BibRef
Zhao, X.[Xi],
Wang, K.Y.[Ke-Yan],
Li, Y.S.[Yun-Song],
Li, J.J.[Jiao-Jiao],
Deep fully convolutional regression networks for single image haze
removal,
VCIP17(1-4)
IEEE DOI
1804
convolution, feedforward neural nets, image denoising,
image restoration, regression analysis, CNN, computer vision,
transmission regressed model
BibRef
Zhang, Y.,
Ding, L.,
Sharma, G.,
HazeRD: An outdoor scene dataset and benchmark for single image
dehazing,
ICIP17(3205-3209)
IEEE DOI
1803
Atmospheric modeling, Benchmark testing, Cameras,
Image color analysis, Meteorology, Scattering, Visualization,
depth
BibRef
Zhang, S.D.[Sheng-Dong],
Yao, J.[Jian],
Garcia, E.B.[Edel B.],
Single Image Dehazing via Image Generating,
PSIVT17(123-136).
Springer DOI
1802
BibRef
Jackson, J.,
Ariyo, O.,
Acheampong, K.,
Boakye, M.,
Frimpong, E.,
Ashalley, E.,
Rao, Y.,
Hybrid single image dehazing with bright channel and dark channel
priors,
ICIVC17(381-385)
IEEE DOI
1708
Approximation algorithms, Channel estimation, Estimation,
Filtering algorithms, Image color analysis, Optical filters,
Programmable logic arrays, bright channel prior,
dark channel prior, fast guided filter, image, dehazing
BibRef
Lee, C.W.[Chul-Woo],
Shao, L.,
Learning-based single image dehazing via genetic programming,
ICPR16(745-750)
IEEE DOI
1705
Atmospheric modeling, Estimation, Feature extraction,
Image color analysis, Scattering, Sociology, Statistics
BibRef
Zhang, S.D.[Sheng-Dong],
Yao, J.[Jian],
Single Image Dehazing Using Fixed Points and Nearest-Neighbor
Regularization,
NTIRE16(I: 18-33).
Springer DOI
1704
BibRef
Shen, Y.,
Wu, X.,
Single image haze removal using Gaussian mixture model and sparse
optimization,
VCIP16(1-4)
IEEE DOI
1701
Color
BibRef
Jo, S.Y.[Sung Yong],
Ha, J.[Jeongmok],
Jeong, H.[Hong],
Single Image Haze Removal Using Single Pixel Approach Based on Dark
Channel Prior with Fast Filtering,
ICCVG16(151-162).
Springer DOI
1611
BibRef
Ling, Z.G.[Zhi-Gang],
Li, X.X.[Xiu-Xin],
Zou, W.[Wen],
Liu, M.[Min],
Joint Haze-relevant Features Selection and Transmission Estimation
via Deep Belief Network for Efficient Single Image Dehazing,
ICPR18(133-139)
IEEE DOI
1812
Feature extraction, Computational modeling, Correlation,
Estimation, Microwave integrated circuits, Image color analysis, Redundancy
BibRef
Ling, Z.G.[Zhi-Gang],
Fan, G.L.[Guo-Liang],
Wang, Y.N.[Yao-Nan],
Lu, X.[Xiao],
Learning deep transmission network for single image dehazing,
ICIP16(2296-2300)
IEEE DOI
1610
Atmospheric modeling
BibRef
Ma, K.[Kede],
Liu, W.T.[Wen-Tao],
Wang, Z.[Zhou],
Perceptual evaluation of single image dehazing algorithms,
ICIP15(3600-3604)
IEEE DOI
1512
Image dehazing
BibRef
Zhai, Y.,
Ji, D.,
Single Image Dehazing for Visibility Improvement,
UAV-g15(355-360).
DOI Link
1512
BibRef
Zhu, X.[Ximei],
Li, Y.[Ying],
Qiao, Y.[Yu],
Fast single image dehazing through Edge-Guided Interpolated Filter,
MVA15(443-446)
IEEE DOI
1507
Atmosphere
BibRef
Park, D.[Dubok],
Park, H.J.[Hyung-Jo],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Single image dehazing with image entropy and information fidelity,
ICIP14(4037-4041)
IEEE DOI
1502
Atmospheric modeling
BibRef
Park, H.[Hyungjo],
Park, D.[Dubok],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Single image haze removal using novel estimation of atmospheric light
and transmission,
ICIP14(4502-4506)
IEEE DOI
1502
Atmospheric modeling
BibRef
Li, J.F.[Jia-Feng],
Zhang, H.[Hong],
Yuan, D.[Ding],
Wang, H.L.[He-Long],
Haze Removal from Single Images Based on a Luminance Reference Model,
ACPR13(446-450)
IEEE DOI
1408
computer vision
BibRef
Wang, K.[Ke],
Dunn, E.[Enrique],
Tighe, J.[Joseph],
Frahm, J.M.[Jan-Michael],
Combining semantic scene priors and haze removal for single image
depth estimation,
WACV14(800-807)
IEEE DOI
1406
Buildings
BibRef
Meng, G.F.[Gao-Feng],
Wang, Y.[Ying],
Duan, J.Y.[Jiang-Yong],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
Efficient Image Dehazing with Boundary Constraint and Contextual
Regularization,
ICCV13(617-624)
IEEE DOI
1403
image processing; single image dehazing; visibility enhancement
See also Image deblurring with matrix regression and gradient evolution.
See also Image Guided Tone Mapping with Locally Nonlinear Model.
BibRef
Zhang, H.[Hong],
Liu, X.[Xuan],
Huang, Z.T.[Zhi-Tong],
Ji, Y.F.[Yue-Feng],
Single image dehazing based on fast wavelet transform with weighted
image fusion,
ICIP14(4542-4546)
IEEE DOI
1502
Computer vision
BibRef
Qin, B.Y.[Bo-Yang],
Huang, Z.T.[Zhi-Tong],
Zeng, F.X.[Fan-Xiang],
Ji, Y.F.[Yue-Feng],
Fast single image dehazing with domain transformation-based
edge-preserving filter and weighted quadtree subdivision,
ICIP15(4233-4237)
IEEE DOI
1512
Dehazing
BibRef
Liu, X.[Xuan],
Zeng, F.X.[Fan-Xiang],
Huang, Z.T.[Zhi-Tong],
Ji, Y.F.[Yue-Feng],
Single color image dehazing based on digital total variation filter
with color transfer,
ICIP13(909-913)
IEEE DOI
1402
Atmospheric modeling
BibRef
Kil, T.H.[Tae Ho],
Lee, S.H.[Sang Hwa],
Cho, N.I.[Nam Ik],
Single image dehazing based on reliability map of dark channel prior,
ICIP13(882-885)
IEEE DOI
1402
Channel estimation
BibRef
Long, J.[Jiao],
Shi, Z.W.[Zhen-Wei],
Tang, W.[Wei],
Fast haze removal for a single remote sensing image using dark channel
prior,
CVRS12(132-135).
IEEE DOI
1302
BibRef
Pedone, M.[Matteo],
Heikkila, J.[Janne],
Robust airlight estimation for haze removal from a single image,
ECVW11(90-96).
IEEE DOI
1106
BibRef
Fang, S.[Shuai],
Zhan, J.Q.[Ji-Qing],
Cao, Y.[Yang],
Rao, R.Z.[Rui-Zhong],
Improved single image dehazing using segmentation,
ICIP10(3589-3592).
IEEE DOI
1009
BibRef
Dong, X.M.[Xue-Mei],
Hu, X.Y.[Xi-Yuan],
Peng, S.L.[Si-Long],
Wang, D.C.[Duo-Chao],
Single color image dehazing using sparse priors,
ICIP10(3593-3596).
IEEE DOI
1009
BibRef
Ancuti, C.O.[Codruta Orniana],
Ancuti, C.[Cosmin],
Bekaert, P.[Philippe],
Effective single image dehazing by fusion,
ICIP10(3541-3544).
IEEE DOI
1009
BibRef
Carr, P.[Peter],
Hartley, R.I.[Richard I.],
Improved Single Image Dehazing Using Geometry,
DICTA09(103-110).
IEEE DOI
0912
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Fog Removal, Defogging .