Nishino, K.[Ko],
Kratz, L.[Louis],
Lombardi, S.[Stephen],
Bayesian Defogging,
IJCV(98), No. 3, July 2012, pp. 263-278.
WWW Link.
1202
BibRef
Gibson, K.B.[Kristofor B.],
Nguyen, T.Q.[Truong Q.],
An Analysis of Single Image Defogging Methods using a Color Ellipsoid
Framework,
JIVP(2013), No. 1, 2013, pp. 37.
DOI Link
1307
BibRef
Earlier:
Hazy image modeling using color ellipsoids,
ICIP11(1861-1864).
IEEE DOI
1201
BibRef
Gibson, K.B.[Kristofor B.],
Nguyen, T.Q.[Truong Q.],
A No-Reference Perceptual Based Contrast Enhancement Metric for Ocean
Scenes in Fog,
IP(22), No. 10, 2013, pp. 3982-3993.
IEEE DOI
1309
AdaBoost, Contrast enhancement metric
BibRef
Wang, Y.,
Fan, C.,
Single Image Defogging by Multiscale Depth Fusion,
IP(23), No. 11, November 2014, pp. 4826-4837.
IEEE DOI
1410
Adaptation models
BibRef
Guo, J.M.[Jing-Ming],
Syue, J.Y.[Jin-Yu],
Radzicki, V.R.[Vincent R.],
Lee, H.[Hua],
An Efficient Fusion-Based Defogging,
IP(26), No. 9, September 2017, pp. 4217-4228.
IEEE DOI
1708
image enhancement, image fusion,
Gaussian-based dark channel method, atmospheric light,
flicker-free module, flickering effect reduction,
frame-based dehazing process, fusion weighting scheme,
fusion-based defogging,
BibRef
Lee, Y.,
Hirakawa, K.,
Nguyen, T.Q.,
Joint Defogging and Demosaicking,
IP(26), No. 6, June 2017, pp. 3051-3063.
IEEE DOI
1705
Digital cameras, Image restoration, Image sensors, Pipelines,
Scattering, Defogging, dehazing, demosaicking,
digital camera processing pipeline, image restoration, image,
sensor, noise
BibRef
Qu, C.[Chen],
Bi, D.[Duyan],
Novel Defogging Algorithm Based on the Joint Use of Saturation and
Color Attenuation Prior,
IEICE(E101-D), No. 5, May 2018, pp. 1421-1429.
WWW Link.
1805
BibRef
Mutimbu, L.[Lawrence],
Robles-Kelly, A.[Antonio],
A factor graph evidence combining approach to image defogging,
PR(82), 2018, pp. 56-67.
Elsevier DOI
1806
Factor graphs, Evidence combining, Simplicial spanning tree,
Procrustes transformation, Maximum a-posteriori inference, Image defogging
BibRef
Ling, Z.,
Gong, J.,
Fan, G.,
Lu, X.,
Optimal Transmission Estimation via Fog Density Perception for
Efficient Single Image Defogging,
MultMed(20), No. 7, July 2018, pp. 1699-1711.
IEEE DOI
1806
Atmospheric modeling, Computational modeling, Degradation,
Image color analysis, Mathematical model, Meteorology, Scattering,
optimal transmission model
BibRef
Shiau, Y.,
Kuo, Y.,
Chen, P.,
Hsu, F.,
VLSI Design of an Efficient Flicker-Free Video Defogging Method for
Real-Time Applications,
CirSysVideo(29), No. 1, January 2019, pp. 238-251.
IEEE DOI
1901
Streaming media, Algorithm design and analysis,
Real-time systems, Heuristic algorithms, Atmospheric modeling,
VLSI
BibRef
Hu, H.,
Guo, Q.,
Zheng, J.,
Wang, H.,
Li, B.,
Single Image Defogging Based on Illumination Decomposition for Visual
Maritime Surveillance,
IP(28), No. 6, June 2019, pp. 2882-2897.
IEEE DOI
1905
aerosols, brightness, fog, image colour analysis, image enhancement,
image restoration, image sensors, lighting, marine engineering,
atmospheric aerosol model
BibRef
Tufail, Z.[Zahid],
Khurshid, K.[Khawar],
Salman, A.[Ahmad],
Khurshid, K.[Khurram],
Optimisation of transmission map for improved image defogging,
IET-IPR(13), No. 7, 30 May 2019, pp. 1161-1169.
DOI Link
1906
BibRef
Liu, W.[Wei],
Yao, R.G.[Rong-Guo],
Qiu, G.P.[Guo-Ping],
A Physics Based Generative Adversarial Network for Single Image
Defogging,
IVC(92), 2019, pp. 103815.
Elsevier DOI
1912
Single image defogging, Image restoration, Image enhancement,
CycleGAN, Subjective evaluation
BibRef
Nandal, S.[Savita],
Kumar, S.[Sanjeev],
Fractional-Order Anisotropic Diffusion for Defogging of RGB Images,
IJIG(20), No. 1 2020, pp. 2050001.
DOI Link
2002
BibRef
Shi, Y.H.[Yong-Hua],
Jiang, X.[Xishun],
Deep quality assessment toward defogged aerial images,
SP:IC(83), 2020, pp. 115808.
Elsevier DOI
2003
Image defogging, Image quality, Aerial image,
Adversarial network, Random forest
BibRef
Hassan, N.[Najmul],
Ullah, S.[Sami],
Bhatti, N.[Naeem],
Mahmood, H.[Hasan],
Zia, M.[Muhammad],
A cascaded approach for image defogging based on physical and
enhancement models,
SIViP(14), No. 5, July 2020, pp. 867-875.
Springer DOI
2006
BibRef
Liu, W.[Wei],
Hou, X.X.[Xian-Xu],
Duan, J.[Jiang],
Qiu, G.P.[Guo-Ping],
End-to-End Single Image Fog Removal Using Enhanced Cycle Consistent
Adversarial Networks,
IP(29), 2020, pp. 7819-7833.
IEEE DOI
2007
Single image defogging, cycleGAN, unpaired training, image restoration
BibRef
Kim, D.[Donghee],
Park, M.S.[Myung-Sook],
Park, Y.J.[Young-Je],
Kim, W.[Wonkook],
Geostationary Ocean Color Imager (GOCI) Marine Fog Detection in
Combination with Himawari-8 Based on the Decision Tree,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Zaghloul, R.I.[Rawan I.],
Hiary, H.[Hazem],
A Fast Single Image Fog Removal Method Using Geometric Mean Histogram
Equalization,
IJIG(21), No. 1 2021, pp. 2150001.
DOI Link
2102
BibRef
Yang, Y.L.[Yu-Liang],
Long, W.[Wei],
Li, Y.Y.[Yan-Yan],
Shi, X.Q.[Xiao-Qiu],
Gao, L.[Lin],
Image defogging based on amended dark channel prior and 4-directional
L1 regularisation,
IET-IPR(15), No. 11, 2021, pp. 2454-2477.
DOI Link
2108
BibRef
Zhu, Z.Q.[Zhi-Qin],
Luo, Y.Q.[Ya-Qin],
Qi, G.Q.[Guan-Qiu],
Meng, J.[Jun],
Li, Y.[Yong],
Mazur, N.[Neal],
Remote Sensing Image Defogging Networks Based on Dual Self-Attention
Boost Residual Octave Convolution,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
From aerial images.
BibRef
Ronen, A.[Ayala],
Tzadok, T.[Tamir],
Rostkier-Edelstein, D.[Dorita],
Agassi, E.[Eyal],
Fog Measurements with IR Whole Sky Imager and Doppler Lidar, Combined
with In Situ Instruments,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Kumar, R.[Rahul],
Balasubramanian, R.[Raman],
Kaushik, B.K.[Brajesh Kumar],
Efficient Method and Architecture for Real-Time Video Defogging,
ITS(22), No. 10, October 2021, pp. 6536-6546.
IEEE DOI
2110
Estimation, Hardware, Image restoration, Real-time systems,
Streaming media, Memory management, Defogging, dehazing,
video processing
BibRef
Arif, Z.H.[Zainab Hussein],
Mahmoud, M.A.[Moamin A.],
Abdulkareem, K.H.[Karrar Hameed],
Mohammed, M.A.[Mazin Abed],
Al-Mhiqani, M.N.[Mohammed Nasser],
Mutlag, A.A.[Ammar Awad],
Damaševicius, R.[Robertas],
Comprehensive Review of Machine Learning (ML) in Image Defogging:
Taxonomy of Concepts, Scenes, Feature Extraction, and Classification
techniques,
IET-IPR(16), No. 2, 2022, pp. 289-310.
DOI Link
2201
BibRef
Chen, T.[Ting],
Liu, M.[Mengni],
Gao, T.[Tao],
Cheng, P.[Peng],
Mei, S.H.[Shao-Hui],
Li, Y.H.[Yong-Hui],
A Fusion-Based Defogging Algorithm,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Cui, Y.[Yani],
Zhi, S.[Shuaiqing],
Liu, W.J.[Wen-Jin],
Deng, J.X.[Jia-Xian],
Ren, J.[Jia],
An improved dark channel defogging algorithm based on the HSI colour
space,
IET-IPR(16), No. 3, 2022, pp. 823-838.
DOI Link
2202
BibRef
Chen, W.T.[Wei-Ting],
Lou, H.L.[Hao-Lun],
Fang, H.Y.[Hao-Yu],
Chen, I.H.[I-Hsiang],
Chen, Y.W.[Yi-Wen],
Ding, J.J.[Jian-Jiun],
Kuo, S.Y.[Sy-Yen],
DesmokeNet: A Two-Stage Smoke Removal Pipeline Based on
Self-Attentive Feature Consensus and Multi-Level Contrastive
Regularization,
CirSysVideo(32), No. 6, June 2022, pp. 3346-3359.
IEEE DOI
2206
Image color analysis, Pipelines, Surgery, Image reconstruction,
Optical losses, Laparoscopes, Heuristic algorithms,
multi-level contrastive regularization
BibRef
Pikun, W.[Wang],
Ling, W.[Wu],
Jiang-Xin, Q.[Qi],
Jiashuai, D.[Dai],
Unmanned aerial vehicles object detection based on image haze removal
under sea fog conditions,
IET-IPR(16), No. 10, 2022, pp. 2709-2721.
DOI Link
2207
BibRef
Xu, L.[Linli],
Liang, P.X.[Pei-Xian],
Han, J.[Jing],
Bai, L.[Lianfa],
Chen, D.Z.[Danny Z.],
Global Filter of Fusing Near-Infrared and Visible Images in Frequency
Domain for Defogging,
SPLetters(29), 2022, pp. 1953-1957.
IEEE DOI
2209
Image color analysis, Scattering, Atmospheric modeling, Distortion,
Imaging, Frequency-domain analysis, Attenuation,
NIR and VIS images fusion
BibRef
Shi, W.P.[Wei-Peng],
Qin, W.[Wenhu],
Chen, A.[Allshine],
Towards Robust Semantic Segmentation of Land Covers in Foggy
Conditions,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Wang, Z.Q.[Zi-Quan],
Zhang, Y.S.[Yong-Sheng],
Zhang, Z.C.[Zhen-Chao],
Jiang, Z.P.[Zhi-Peng],
Yu, Y.[Ying],
Li, L.[Li],
Zhang, L.[Lei],
SDAT-Former++: A Foggy Scene Semantic Segmentation Method with
Stronger Domain Adaption Teacher for Remote Sensing Images,
RS(15), No. 24, 2023, pp. 5704.
DOI Link
2401
BibRef
Earlier: A1, A2, A5, A4, Only:
SDAT-Former: Foggy Scene Semantic Segmentation Via A Strong Domain
Adaptation Teacher,
ICIP23(1760-1764)
IEEE DOI
2312
BibRef
Li, L.[Linge],
Liu, X.Q.[Xiao-Qin],
Shi, F.Y.[Fei-Yu],
Cai, Y.H.[Yi-Hua],
Zhang, Y.[Ying],
Fang, P.[Ping],
Mu, C.[Chao],
Weng, N.Q.[Ning-Quan],
Foggy image restoration using deep sub-pixel reconstruction network,
IET-IPR(18), No. 3, 2024, pp. 707-721.
DOI Link
2402
fog, image reconstruction, image restoration
BibRef
Zhang, S.L.[Sheng-Li],
Tao, Z.Y.[Zhi-Yong],
Lin, S.[Sen],
WaveletFormerNet: A Transformer-based wavelet network for real-world
non-homogeneous and dense fog removal,
IVC(146), 2024, pp. 105014.
Elsevier DOI Code:
WWW Link.
2405
Image dehazing, Convolution neural network, Wavelet transform,
Swin transformer, Fog removal
BibRef
Noori, H.[Hossein],
Gholizadeh, M.H.[Mohammad Hossein],
Rafsanjani, H.K.[Hossein Khodabakhshi],
Digital image defogging using joint Retinex theory and independent
component analysis,
CVIU(245), 2024, pp. 104033.
Elsevier DOI Code:
WWW Link.
2406
Defogging/dehazing, Retinex theory,
Independent component analysis, Koschmieder's law, Improving contrast
BibRef
Zhong, F.[Fujin],
Shen, W.X.[Wen-Xin],
Yu, H.[Hong],
Wang, G.[Guoyin],
Hu, J.[Jun],
Dehazing and Reasoning YOLO: Prior knowledge-guided network for
object detection in foggy weather,
PR(156), 2024, pp. 110756.
Elsevier DOI Code:
WWW Link.
2408
Object detection, Foggy weather, Prior knowledge, End-to-end network
BibRef
Ramazzina, A.[Andrea],
Bijelic, M.[Mario],
Walz, S.[Stefanie],
Sanvito, A.[Alessandro],
Scheuble, D.[Dominik],
Heide, F.[Felix],
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural
Rendering,
ICCV23(17911-17922)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhu, Y.[Yusen],
Zhou, G.[Gang],
Ren, J.X.[Jing-Xu],
Tian, J.[Jiakun],
Jia, Z.H.[Zhen-Hong],
Multi-Task Model Based on Vision Task Level for Saliency Object
Detection in Foggy Conditions,
ICIP23(3055-3059)
IEEE DOI
2312
BibRef
Zhou, H.Y.[Han-Yu],
Chang, Y.[Yi],
Yan, W.D.[Wen-Ding],
Yan, L.X.[Lu-Xin],
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical
Flow,
CVPR23(9569-9578)
IEEE DOI
2309
BibRef
Jin, Y.Y.[Ye-Ying],
Yan, W.D.[Wen-Ding],
Yang, W.H.[Wen-Han],
Tan, R.T.[Robby T.],
Structure Representation Network and Uncertainty Feedback Learning for
Dense Non-uniform Fog Removal,
ACCV22(III:155-172).
Springer DOI
2307
BibRef
Liang, Y.L.[Yan-Lin],
Xiong, J.S.[Jian-She],
Yang, P.F.[Ping-Fang],
Improved Algorithm for Defogging of Sky Images Based on Dark Channel
Prior,
ICIVC22(502-506)
IEEE DOI
2301
Image segmentation, Maximum likelihood detection,
Estimation error, Image color analysis, Clustering algorithms,
dark channel prior
BibRef
Chen, C.[Cheng],
Liu, W.[Wei],
Lu, T.[Tao],
Single Image Defogging via Recurrent Bilateral Learning,
ICRVC22(193-199)
IEEE DOI
2301
Image resolution, Feature extraction, Image restoration,
Convolutional neural networks, Image reconstruction, scene depth
BibRef
Graffieti, G.[Gabriele],
Maltoni, D.[Davide],
Towards Artifacts-Free Image Defogging,
ICPR21(5060-5067)
IEEE DOI
2105
Measurement, Image edge detection, Manuals, Detectors, Inspection,
Data models, Pattern recognition
BibRef
Li, Z.[Zhan],
Zheng, X.P.[Xiao-Peng],
Bhanu, B.[Bir],
Long, S.[Shun],
Zhang, Q.F.[Qing-Feng],
Huang, Z.H.[Zheng-Hao],
Fast Region-Adaptive Defogging and Enhancement for Outdoor Images
Containing Sky,
ICPR21(8267-8274)
IEEE DOI
2105
Performance evaluation, Image segmentation, Image color analysis,
Imaging, Distortion, Pattern recognition, Image restoration,
multi-scale Retinex
BibRef
Malav, R.[Ramavtar],
Kim, A.[Ayoung],
Sahoo, S.R.[Soumya Ranjan],
Pandey, G.[Gaurav],
DHSGAN: An End to End Dehazing Network for Fog and Smoke,
ACCV18(V:593-608).
Springer DOI
1906
BibRef
Fan, T.H.[Tang-Huai],
Li, C.L.[Chang-Li],
Ma, X.[Xiao],
Chen, Z.[Zhe],
Zhang, X.[Xuan],
Chen, L.[Lin],
An improved single image defogging method based on Retinex,
ICIVC17(410-413)
IEEE DOI
1708
image defog, image enhancement, image fusion, retinex, algorithm
BibRef
Li, C.L.[Chang-Li],
Fan, T.H.[Tang-Huai],
Ma, X.[Xiao],
Zhang, Z.[Zhen],
Wu, H.X.[Hong-Xin],
Chen, L.[Lin],
An improved image defogging method based on dark channel prior,
ICIVC17(414-417)
IEEE DOI
1708
Atmosphere, Channel estimation, Estimation, Image color analysis,
Image restoration, Optimization, Real-time systems,
dark channel prior, image defogging, image enhancement, image, restoration
BibRef
Li, Z.[Zhuwen],
Tan, P.[Ping],
Tan, R.T.[Robby T.],
Zou, D.P.[Dan-Ping],
Zhou, S.Z.Y.[Steven Zhi-Ying],
Cheong, L.F.[Loong-Fah],
Simultaneous video defogging and stereo reconstruction,
CVPR15(4988-4997)
IEEE DOI
1510
BibRef
Minami, Y.,
Enomoto, K.,
Migita, M.,
Toda, M.,
Spatially adaptive image defogging using color characteristics,
FCV15(1-5)
IEEE DOI
1506
aquaculture
BibRef
Lee, Y.[Yeejin],
Gibson, K.B.[Kristofor B.],
Lee, Z.[Zucheul],
Nguyen, T.Q.[Truong Q.],
Stereo image defogging,
ICIP14(5427-5431)
IEEE DOI
1502
Atmospheric modeling
BibRef
Yuk, J.S.C.[Jacky Shun-Cho],
Wong, K.Y.K.[Kwan-Yee Kenneth],
Adaptive Background Defogging with Foreground Decremental
Preconditioned Conjugate Gradient,
ACCV12(IV:602-614).
Springer DOI
1304
BibRef
Liu, H.J.[Hong-Jun],
Zhou, Y.[Yan],
Wang, X.W.[Xin-Wei],
Study of Defog Technology Based on Scattering Model in Assistant
Driving System,
CISP09(1-4).
IEEE DOI
0910
BibRef
Xu, Z.Y.[Zhi-Yuan],
Liu, X.M.[Xiao-Ming],
Ji, N.[Na],
Fog Removal from Color Images using Contrast Limited Adaptive Histogram
Equalization,
CISP09(1-5).
IEEE DOI
0910
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
General Weather Enhancement, Restoration .