4.11.2.8 Haze, Dehazing, Color Correction

Shi, Z.H.[Zheng-Hao],
Sand Dust Image DAta,
March 26, 2020. Pictures in sandstorms.
DOI Link
WWW Link. Dataset, Sandstorm. BibRef

Max, N.L.[Nelson L.],
Light diffusion through clouds and haze,
CVGIP(33), No. 3, March 1986, pp. 280-292.
Elsevier DOI 0501
Approximating scattering model. BibRef

Schechner, Y.Y., Narasimhan, S.G., and Nayar, S.K.,
Polarization-Based Vision through Haze,
AppOpt(42), No. 3, January 2003, pp. 511-525.
WWW Link.
PDF File. Atmospheric effects BibRef 0301

Shwartz, S.[Sarit], Namer, E.[Einav], Schechner, Y.Y.[Yoav Y.],
Blind Haze Separation,
CVPR06(II: 1984-1991).
IEEE DOI 0606
BibRef

Xiao, C.X.[Chun-Xia], Gan, J.J.[Jia-Jia],
Fast image dehazing using guided joint bilateral filter,
VC(27), No. 6-8, June 2011, pp. 713-721.
WWW Link. 1205
BibRef

Shiau, Y.H., Yang, H.Y., Chen, P.Y., Chuang, Y.Z.,
Hardware Implementation of a Fast and Efficient Haze Removal Method,
CirSysVideo(23), No. 8, 2013, pp. 1369-1374.
IEEE DOI 1308
Atmospheric modeling BibRef

Shiau, Y.H., Chen, P.Y., Yang, H.Y., Chen, C.H., Wang, S.S.,
Weighted haze removal method with halo prevention,
JVCIR(25), No. 2, 2014, pp. 445-453.
Elsevier DOI 1402
Dehaze BibRef

Makarau, A., Richter, R., Muller, R., Reinartz, P.,
Haze Detection and Removal in Remotely Sensed Multispectral Imagery,
GeoRS(52), No. 9, Sept 2014, pp. 5895-5905.
IEEE DOI 1407
geophysical image processing BibRef

Vazquez-Corral, J.[Javier], Bertalmío, M.[Marcelo],
Angular-Based Preprocessing for Image Denoising,
SPLetters(25), No. 2, February 2018, pp. 219-223.
IEEE DOI 1802
image colour analysis, image denoising, angular components, angular-based preprocessing, color centers, color decomposition, nonlocal methods BibRef

Wang, L.Q.[Li-Qian], Xiao, L.[Liang], Wei, Z.H.[Zhi-Hui],
Image dehazing using two-dimensional canonical correlation analysis,
IET-CV(9), No. 6, 2015, pp. 903-913.
DOI Link 1512
adaptive filters BibRef

Lee, S.[Sungmin], Yun, S.[Seokmin], Nam, J.H.[Ju-Hun], Won, C.[Chee], Jung, S.W.[Seung-Won],
A review on dark channel prior based image dehazing algorithms,
JIVP(2016), No. 1, 2016, pp. 4.
DOI Link 1601
BibRef

Fan, X.[Xin], Wang, Y.[Yi], Gao, R.J.[Ren-Jie], Luo, Z.X.[Zhong-Xuan],
Haze editing with natural transmission,
VC(32), No. 1, January 2016, pp. 137-147.
WWW Link. 1602
BibRef

Gao, R.J.[Ren-Jie], Fan, X.[Xin], Zhang, J.L.[Jie-Lin], Luo, Z.X.[Zhong-Xuan],
Haze filtering with aerial perspective,
ICIP12(989-992).
IEEE DOI 1302
BibRef

Baig, N., Riaz, M.M., Ghafoor, A., Siddiqui, A.M.,
Image Dehazing Using Quadtree Decomposition and Entropy-Based Contextual Regularization,
SPLetters(23), No. 6, June 2016, pp. 853-857.
IEEE DOI 1606
Computational complexity BibRef

Liu, C.X.[Chun-Xiao], Zhao, J.[Jinwei], Shen, Y.Y.[Yi-Yun], Zhou, Y.G.[Yang-Gang], Wang, X.[Xun], Ouyang, Y.[Yi],
Texture filtering based physically plausible image dehazing,
VC(32), No. 6-8, June 2016, pp. 911-920.
Springer DOI 1608
BibRef

Wallace, B.[Bruce],
Degraded visual environments present challenges for DARPA,
SPIE(Newsroom), September 6, 2016
DOI Link 1610
Seeing through smoke, dust, clouds, or other obscurants is the focus of the agency's strategic efforts in imaging. BibRef

He, L., Zhao, J., Zheng, N., Bi, D.,
Haze Removal Using the Difference- Structure-Preservation Prior,
IP(26), No. 3, March 2017, pp. 1063-1075.
IEEE DOI 1703
image denoising BibRef

Wang, W., Yuan, X., Wu, X., Liu, Y.,
Fast Image Dehazing Method Based on Linear Transformation,
MultMed(19), No. 6, June 2017, pp. 1142-1155.
IEEE DOI 1705
Atmospheric modeling, Computational modeling, Filtering, Image color analysis, Image restoration, Meteorology, Scattering, Dehazing, image restoration, linear transformation, transmission, map BibRef

Jang, D.W.[Dong-Won], Park, R.H.[Rae-Hong],
Colour image dehazing using near-infrared fusion,
IET-IPR(11), No. 8, August 2017, pp. 587-594.
DOI Link 1708
BibRef

Jang, D.W.[Dong-Won], Kim, H.S.[Hyo-Song], Jung, C.D.[Chang-Dae], Park, R.H.[Rae-Hong],
Color fringe correction based on image fusion,
ICIP14(1817-1821)
IEEE DOI 1502
Adaptive optics BibRef

Yang, J.C.[Jia-Chen], Jiang, B.[Bin], Lv, Z.H.[Zhi-Han], Jiang, N.[Na],
A real-time image dehazing method considering dark channel and statistics features,
RealTimeIP(13), No. 3, September 2017, pp. 479-490.
WWW Link. 1710
BibRef

Sun, L.X.[Li-Xin], Latifovic, R.[Rasim], Pouliot, D.[Darren],
Haze Removal Based on a Fully Automated and Improved Haze Optimized Transformation for Landsat Imagery over Land,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Nair, D.[Deepa], Sankaran, P.[Praveen],
Color image dehazing using surround filter and dark channel prior,
JVCIR(50), No. 1, 2018, pp. 9-15.
Elsevier DOI 1712
Atmospheric light BibRef

Xiao, J.S.[Jin-Sheng], Zhu, L.[Li], Zhang, Y.Q.[Yong-Qin], Liu, E.[Enyu], Lei, J.F.[Jun-Feng],
Scene-aware image dehazing based on sky-segmented dark channel prior,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1163-1171.
DOI Link 1712
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

Jiang, Y.T.[Yu-Tong], Sun, C.M.[Chang-Ming], Zhao, Y.[Yu], Yang, L.[Li],
Image dehazing using adaptive bi-channel priors on superpixels,
CVIU(165), No. 1, 2017, pp. 17-32.
Elsevier DOI 1712
Image restoration BibRef

Zhu, M.Z.[Ming-Zhu], He, B.W.[Bing-Wei], Zhang, L.W.[Li-Wei],
Atmospheric light estimation in hazy images based on color-plane model,
CVIU(165), No. 1, 2017, pp. 33-42.
Elsevier DOI 1712
Dehaze BibRef

Fan, X., Wang, Y., Tang, X.X.[Xian-Xuan], Gao, R., Luo, Z.X.[Zhong-Xuan],
Two-Layer Gaussian Process Regression With Example Selection for Image Dehazing,
CirSysVideo(27), No. 12, December 2017, pp. 2505-2517.
IEEE DOI 1712
Computational modeling, Estimation, Gaussian processes, Ground penetrating radar, Image resolution, Image restoration, image dehazing BibRef

Fan, X.[Xin], Tang, X.X.[Xian-Xuan], Hou, M.J.[Min-Jun], Luo, Z.X.[Zhong-Xuan],
Fast example searching for input-adaptive data-driven dehazing with Gaussian process regression,
VC(35), No. 4, April 2019, pp. 565-577.
WWW Link. 1906
BibRef

Yuan, F., Huang, H.,
Image Haze Removal via Reference Retrieval and Scene Prior,
IP(27), No. 9, September 2018, pp. 4395-4409.
IEEE DOI 1807
image denoising, image enhancement, image restoration, image retrieval, external information, scene transmission BibRef

Zhang, Y., Wang, X., Bi, X., Tao, D.,
A Light Dual-Task Neural Network for Haze Removal,
SPLetters(25), No. 8, August 2018, pp. 1231-1235.
IEEE DOI 1808
feature extraction, image enhancement, image restoration, neural nets, light dual-task Neural Network, haze removal, image restoration BibRef

Salazar-Colores, S.[Sebastián], Ramos-Arreguín, J.M.[Juan-Manuel], Ortiz Echeverri, C.J.[César Javier], Cabal-Yepez, E.[Eduardo], Pedraza-Ortega, J.C.[Jesus-Carlos], Rodriguez-Resendiz, J.[Juvenal],
Image dehazing using morphological opening, dilation and Gaussian filtering,
SIViP(12), No. 7, October 2018, pp. 1329-1335.
Springer DOI 1809
BibRef

Son, C., Zhang, X.,
Near-Infrared Fusion via Color Regularization for Haze and Color Distortion Removals,
CirSysVideo(28), No. 11, November 2018, pp. 3111-3126.
IEEE DOI 1811
Image color analysis, Color, Distortion, Degradation, Atmospheric modeling, Imaging, Coloring, near-infrared imaging BibRef

Chen, Y.[Yang], Khosla, D.[Deepak],
Fast Image Dehazing Methods for Real-Time Video Processing,
ISVC18(619-628).
Springer DOI 1811
BibRef

Singh, D.[Dilbag], Kumar, V.[Vijay],
Image dehazing using Moore neighborhood-based gradient profile prior,
SP:IC(70), 2019, pp. 131-144.
Elsevier DOI 1812
Hazy images, Moore neighborhood-based gradient profile prior, Local activity-tuned anisotropic diffusion, Transmission map BibRef

Ren, W., Zhang, J., Xu, X., Ma, L., Cao, X., Meng, G., Liu, W.,
Deep Video Dehazing With Semantic Segmentation,
IP(28), No. 4, April 2019, pp. 1895-1908.
IEEE DOI 1901
feature extraction, feedforward neural nets, image denoising, image enhancement, image restoration, image segmentation, convolutional neural network BibRef

Li, C.[Ce], Zhao, X.Y.[Xin-Yu], Zhang, Z.X.[Zhao-Xiang], Du, S.Y.[Shao-Yi],
Generative adversarial dehaze mapping nets,
PRL(119), 2019, pp. 238-244.
Elsevier DOI 1902
GADMN, Haze-relevant features, Multiple-light scattering model, LMHPM BibRef

Nnolim, U.A.[Uche A.],
Formulation of Fractional Derivative-Based De-Hazing Algorithm and Implementation on Mobile-Embedded Devices,
IJIG(19), No. 1 2018, pp. 1950003.
DOI Link 1902
BibRef

Salazar-Colores, S., Cabal-Yepez, E., Ramos-Arreguin, J.M., Botella, G., Ledesma-Carrillo, L.M., Ledesma, S.,
A Fast Image Dehazing Algorithm Using Morphological Reconstruction,
IP(28), No. 5, May 2019, pp. 2357-2366.
IEEE DOI 1903
image restoration, dehazing algorithms, transmission maps, depth maps, image restoration, restoration algorithm, dark channel prior BibRef

Liu, P., Horng, S., Lin, J., Li, T.,
Contrast in Haze Removal: Configurable Contrast Enhancement Model Based on Dark Channel Prior,
IP(28), No. 5, May 2019, pp. 2212-2227.
IEEE DOI 1903
image colour analysis, image enhancement, image restoration, dark channel prior, color constancy method, contrast values, color de-correlating BibRef

Shen, L., Zhao, Y., Peng, Q., Chan, J.C., Kong, S.G.,
An Iterative Image Dehazing Method With Polarization,
MultMed(21), No. 5, May 2019, pp. 1093-1107.
IEEE DOI 1905
image denoising, iterative methods, polarizing images, denoising scheme, iterative image dehazing method, weighted regularization BibRef

Yang, C.W.[Chen-Wei], Feng, H.J.[Hua-Jun], Xu, Z.H.[Zhi-Hai], Li, Q.[Qi], Chen, Y.T.[Yue-Ting],
Correction of overexposure utilizing haze removal model and image fusion technique,
VC(35), No. 5, May 2019, pp. 695-705.
WWW Link. 1906
BibRef

Zhu, M., He, B., Liu, J., Zhang, L.,
Dark Channel: The Devil is in the Details,
SPLetters(26), No. 7, July 2019, pp. 981-985.
IEEE DOI 1906
image colour analysis, image restoration, dark channel, haze removal, dark pixel, transmission estimation method, dark pixel BibRef

Lee, Y., Wu, B.,
Algorithm and Architecture Design of a Hardware-Efficient Image Dehazing Engine,
CirSysVideo(29), No. 7, July 2019, pp. 2146-2161.
IEEE DOI 1907
Hardware, Atmospheric modeling, Estimation, Image resolution, Throughput, Scattering, Airlight, area efficiency, transmission rate BibRef

Min, X., Zhai, G., Gu, K., Yang, X., Guan, X.,
Objective Quality Evaluation of Dehazed Images,
ITS(20), No. 8, August 2019, pp. 2879-2892.
IEEE DOI 1908
Feature extraction, Meteorology, Indexes, Image color analysis, Intelligent transportation systems, Intelligent systems, dehazing algorithm evaluation BibRef

Ju, M., Ding, C., Zhang, D., Guo, Y.J.,
BDPK: Bayesian Dehazing Using Prior Knowledge,
CirSysVideo(29), No. 8, August 2019, pp. 2349-2362.
IEEE DOI 1908
Atmospheric modeling, Scattering, Image color analysis, Bayes methods, Computational modeling, Image restoration, scattering distribution BibRef

El-Hashash, M.M.[Mostafa M.], Aly, H.A.[Hussein A.],
High-speed video haze removal algorithm for embedded systems,
RealTimeIP(16), No. 4, August 2019, pp. 1117-1128.
WWW Link. 1908
BibRef
And: Erratum: RealTimeIP(16), No. 5, October 2019, pp. 1887.
WWW Link. 1911
BibRef

Ancuti, C.O., Ancuti, C., de Vleeschouwer, C., Sbetr, M.,
Color Channel Transfer for Image Dehazing,
SPLetters(26), No. 9, September 2019, pp. 1413-1417.
IEEE DOI 1909
Image color analysis, Attenuation, Lighting, Scattering, Optical attenuators, Optical imaging, Atmospheric modeling, image enhancement BibRef

Kumar, H.[Himanshu], Gupta, S.[Sumana], Venkatesh, K.S.[K. Subramanian],
Realtime dehazing using colour uniformity principle,
IET-IPR(13), No. 11, 19 September 2019, pp. 1931-1939.
DOI Link 1909
BibRef

Pang, Y., Xie, J., Li, X.,
Visual Haze Removal by a Unified Generative Adversarial Network,
CirSysVideo(29), No. 11, November 2019, pp. 3211-3221.
IEEE DOI 1911
Atmospheric modeling, Generators, Generative adversarial networks, Feature extraction, convolutional neural network BibRef

Gu, Y.[Yanan], Yang, X.P.[Xiao-Ping], Gao, Y.M.[Yi-Ming],
A Novel Total Generalized Variation Model for Image Dehazing,
JMIV(61), No. 9, November 2019, pp. 1329-1341.
WWW Link. 1911
BibRef

Diaz-Ramirez, V.H.[Victor H.], Hernández-Beltrán, J.E.[José Enrique], Juarez-Salazar, R.[Rigoberto],
Real-time haze removal in monocular images using locally adaptive processing,
RealTimeIP(16), No. 6, December 2019, pp. 1959-1973.
Springer DOI 1912
BibRef

Wu, Q., Ren, W., Cao, X.,
Learning Interleaved Cascade of Shrinkage Fields for Joint Image Dehazing and Denoising,
IP(29), No. 1, 2020, pp. 1788-1801.
IEEE DOI 1912
Noise reduction, Noise measurement, Atmospheric modeling, Estimation, Task analysis, Standards, Convolution, Image dehazing, interleaved cascade of shrinkage fields BibRef

Wang, W., Li, Z., Wu, S., Zeng, L.,
Hazy Image Decolorization With Color Contrast Restoration,
IP(29), No. 1, 2020, pp. 1776-1787.
IEEE DOI 1912
Image color analysis, Gray-scale, Image restoration, Nonlinear distortion, Colored noise, Optimization, Decolorization, spatially varying linear mapping BibRef

Qiu, B.[Bin], Liang, X.[Xiwen], Su, Z.[Zhuo], Wang, R.[Ruomei], Zhou, F.[Fan],
Learning mean progressive scattering using binomial truncated loss for image dehazing,
IET-IPR(13), No. 14, 12 December 2019, pp. 2929-2939.
DOI Link 1912
BibRef

Li, M.[Ming], Chen, X.D.[Xu-Dong], Peng, C.L.[Cheng-Lei], Du, S.[Sidan], Li, Y.[Yang],
Modeling the occlusion problem in thermal imaging to allow seeing through mist and foliage,
JOSA-A(36), No. 2, February 2019, pp. A67-A76.
DOI Link 1912
Image processing, Infrared radiation, Plenoptic imaging, Synthetic aperture radar, Thermal imaging, Visible light BibRef

Mandal, S., Rajagopalan, A.N.,
Local Proximity for Enhanced Visibility in Haze,
IP(29), 2020, pp. 2478-2491.
IEEE DOI 2001
Dehazing, contrast enhancement, patch similarity, underwater BibRef

Ancuti, C.O., Ancuti, C., de Vleeschouwer, C., Sbert, M.,
Color Channel Compensation (3C): A Fundamental Pre-Processing Step for Image Enhancement,
IP(29), 2020, pp. 2653-2665.
IEEE DOI 2001
Image enhancement, dehazing, color-constancy BibRef

Li, L., Dong, Y., Ren, W., Pan, J., Gao, C., Sang, N., Yang, M.,
Semi-Supervised Image Dehazing,
IP(29), 2020, pp. 2766-2779.
IEEE DOI 2001
Image dehazing, deep learning, semi-supervised learning BibRef

Wierzbicki, D.[Damian], Kedzierski, M.[Michal], Sekrecka, A.[Aleksandra],
A Method for Dehazing Images Obtained from Low Altitudes during High-Pressure Fronts,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Ju, M., Ding, C., Guo, Y.J., Zhang, D.,
IDGCP: Image Dehazing Based on Gamma Correction Prior,
IP(29), 2020, pp. 3104-3118.
IEEE DOI 2002
Atmospheric scattering theory, gamma correction prior (GCP), global-wise strategy, haze removal, processing time, vision indicator BibRef

Yin, S.[Shibai], Wang, Y.[Yibin], Yang, Y.H.[Yee-Hong],
A novel image-dehazing network with a parallel attention block,
PR(102), 2020, pp. 107255.
Elsevier DOI 2003
Image dehazing, Spatial attention mechanism, Channel-wise attention mechanism, Encoder-decoder, CNN BibRef

Ali, H.[Haider], Sher, A.[Awal], Saeed, M.[Maryam], Rada, L.[Lavdie],
Active contour image segmentation model with de-hazing constraints,
IET-IPR(14), No. 5, 17 April 2020, pp. 921-928.
DOI Link 2004
BibRef

Fan, Y.L.[Yong-Lei], Rui, X.P.[Xiao-Ping], Poslad, S.[Stefan], Zhang, G.Y.[Guang-Yuan], Yu, T.[Tian], Xu, X.J.[Xi-Jie], Song, X.F.[Xian-Feng],
A better way to monitor haze through image based upon the adjusted LeNet-5 CNN model,
SIViP(14), No. 3, April 2020, pp. 455-463.
Springer DOI 2004
BibRef

Song, T.[Taeyong], Kim, Y.J.[Young-Jung], Oh, C.J.[Chang-Jae], Jang, H.S.[Hyun-Sung], Ha, N.[Namkoo], Sohn, K.H.[Kwang-Hoon],
Simultaneous Deep Stereo Matching and Dehazing with Feature Attention,
IJCV(128), No. 4, April 2020, pp. 799-817.
Springer DOI 2004

See also Memory-Guided Image De-Raining Using Time-Lapse Data. BibRef

Yuan, F.N.[Fei-Niu], Zhou, Y.[Yu], Xia, X.[Xue], Shi, J.T.[Jin-Ting], Fang, Y.M.[Yu-Ming], Qian, X.M.[Xue-Ming],
Image dehazing based on a transmission fusion strategy by automatic image matting,
CVIU(194), 2020, pp. 102933.
Elsevier DOI 2005
Transmission fusion, Image matting, Image dehazing, Dark channel prior, Veil correction BibRef

Nnolim, U.A.,
Probabilistic, Multi-Scale Fractional Tonal Correction Bilateral Filter-Based Hazy Image Enhancement,
IJIG(20), No. 2, April 2020, pp. 2050010.
DOI Link 2005
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

Vazquez-Corral, J.[Javier], Galdran, A.[Adrian], Cyriac, P.[Praveen], Bertalmío, M.[Marcelo],
A fast image dehazing method that does not introduce color artifacts,
RealTimeIP(17), No. 3, June 2020, pp. 607-622.
Springer DOI 2006
BibRef

Zhang, S.D.[Sheng-Dong], He, F.Z.[Fa-Zhi], Ren, W.Q.[Wen-Qi],
Photo-realistic dehazing via contextual generative adversarial networks,
MVA(31), No. 5, July 2020, pp. Article33.
WWW Link. 2006
BibRef

Zhang, H., Sindagi, V., Patel, V.M.,
Joint Transmission Map Estimation and Dehazing Using Deep Networks,
CirSysVideo(30), No. 7, July 2020, pp. 1975-1986.
IEEE DOI 2007
Propagation losses, Atmospheric modeling, Estimation, Feature extraction, Task analysis, low-level vision BibRef

Li, R., Pan, J., He, M., Li, Z., Tang, J.,
Task-Oriented Network for Image Dehazing,
IP(29), 2020, pp. 6523-6534.
IEEE DOI 2007
Task analysis, Image color analysis, Atmospheric modeling, Image restoration, Distortion, Convolutional neural networks, image restoration BibRef

Zhao, S., Zhang, L., Huang, S., Shen, Y., Zhao, S.,
Dehazing Evaluation: Real-World Benchmark Datasets, Criteria, and Baselines,
IP(29), 2020, pp. 6947-6962.
IEEE DOI 2007
Measurement, Benchmark testing, Indexes, Image restoration, Distortion, Image quality, Reliability, Benchmark dataset, FR-IQA BibRef

Wang, R., Ji, T., Wang, G.,
Haze Removal by Modeling the Scattering Properties of the Medium,
SPLetters(27), 2020, pp. 1155-1159.
IEEE DOI 2007
Backscatter, haze removal, image recovery BibRef

Qi, B.J.[Bao-Jun], Yang, C.F.[Chun-Fang], Tan, L.[Lei], Luo, X.Y.[Xiang-Yang], Liu, F.L.[Fen-Lin],
A novel haze image steganography method via cover-source switching,
JVCIR(70), 2020, pp. 102814.
Elsevier DOI 2007
Steganography, Haze image, Natural steganography, UNIWARD, Steganalysis BibRef

Lv, J.T.[Jiang-Tao], Pan, J.S.[Jin-Shan],
Lightweight Deep Deblurring Model with Discriminative Multi-Scale Feature Fusion,
ICIP23(3065-3069)
IEEE DOI Code:
WWW Link. 2312
BibRef

Dong, H.[Hang], Pan, J.S.[Jin-Shan], Xiang, L.[Lei], Hu, Z.[Zhe], Zhang, X.Y.[Xin-Yi], Wang, F.[Fei], Yang, M.H.[Ming-Hsuan],
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion,
CVPR20(2154-2164)
IEEE DOI 2008
Boosting, Image restoration, Decoding, Task analysis, Feature extraction, Atmospheric modeling, Fuses BibRef

Wang, L.[Li], Dong, H.[Hang], Li, R.[Ruyu], Zhu, C.[Chao], Tao, H.[Huibin], Guo, Y.[Yu], Wang, F.[Fei],
Dual-path dehazing network with spatial-frequency feature fusion,
PR(151), 2024, pp. 110397.
Elsevier DOI 2404
Image dehazing, Deep learning, Frequency, Convolutional neural network BibRef

Li, R.[Ruyu], Dong, H.[Hang], Wang, L.[Li], Liang, B.Y.[Bo-Yang], Guo, Y.[Yu], Wang, F.[Fei],
Frequency-aware Deep Dual-path Feature Enhancement Network for Image Dehazing,
ICPR22(3406-3412)
IEEE DOI 2212
Degradation, Wavelet domain, Frequency-domain analysis, Feature extraction, Image restoration, High frequency BibRef

Shao, Y., Li, L., Ren, W., Gao, C., Sang, N.,
Domain Adaptation for Image Dehazing,
CVPR20(2805-2814)
IEEE DOI 2008
Adaptation models, Training, Atmospheric modeling, Data models, Image color analysis, Bridges BibRef

Hong, M., Xie, Y., Li, C., Qu, Y.,
Distilling Image Dehazing With Heterogeneous Task Imitation,
CVPR20(3459-3468)
IEEE DOI 2008
Pattern recognition BibRef

Zhang, X.Q.[Xiao-Qin], Wang, T.[Tao], Wang, J.X.[Jin-Xin], Tang, G.Y.[Gui-Ying], Zhao, L.[Li],
Pyramid Channel-based Feature Attention Network for image dehazing,
CVIU(197-198), 2020, pp. 103003.
Elsevier DOI 2008
Image dehazing, Deep neural network, Channel attention BibRef

Zhang, S.D.[Sheng-Dong], He, F.Z.[Fa-Zhi],
DRCDN: learning deep residual convolutional dehazing networks,
VC(36), No. 9, September 2020, pp. 1797-1808.
WWW Link. 2008
BibRef

Yang, Y., Wang, Z.,
Haze Removal: Push DCP at the Edge,
SPLetters(27), 2020, pp. 1405-1409.
IEEE DOI 2008
Information filters, Filtering theory, Image edge detection, Attenuation, Image coding, Distortion, Image dehazing, filter BibRef

Harish Babu, G., Venkatram, N.,
A survey on analysis and implementation of state-of-the-art haze removal techniques,
JVCIR(72), 2020, pp. 102912.
Elsevier DOI 1806
Survey, Haze Removal. Opalescent, Image dehazing, Image restoration, Computational time, Machine learning, Deep learning, Hardware implementation BibRef

Yin, J.L., Huang, Y.C., Chen, B.H., Ye, S.Z.,
Color Transferred Convolutional Neural Networks for Image Dehazing,
CirSysVideo(30), No. 11, November 2020, pp. 3957-3967.
IEEE DOI 2011
Atmospheric modeling, Image color analysis, Integrated circuit modeling, Estimation, Standards, deep learning BibRef

Yin, S.B.[Shi-Bai], Xin, J.[Jin], Wang, Y.B.[Yi-Bin], Basu, A.[Anup],
Image dehazing with uneven illumination prior by dense residual channel attention network,
IET-IPR(14), No. 13, November 2020, pp. 3260-3272.
DOI Link 2012
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

Li, P.Y.[Peng-Yue], Tian, J.D.[Jian-Dong], Tang, Y.D.[Yan-Dong], Wang, G.L.[Guo-Lin], Wu, C.G.[Chen-Gdong],
Deep Retinex Network for Single Image Dehazing,
IP(30), 2021, pp. 1100-1115.
IEEE DOI 2012
Lighting, Atmospheric modeling, Scattering, Image color analysis, Image restoration, Predictive models, Brightness, Image dehazing, image restoration BibRef

Hu, A.[Anna], Xie, Z.[Zhong], Xu, Y.Y.[Yong-Yang], Xie, M.Y.[Ming-Yu], Wu, L.[Liang], Qiu, Q.J.[Qin-Jun],
Unsupervised Haze Removal for High-Resolution Optical Remote-Sensing Images Based on Improved Generative Adversarial Networks,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Li, Y., Liu, Y., Yan, Q., Zhang, K.,
Deep Dehazing Network With Latent Ensembling Architecture and Adversarial Learning,
IP(30), 2021, pp. 1354-1368.
IEEE DOI 2012
Atmospheric modeling, Imaging, Training, Task analysis, Cameras, Neural networks, Estimation, Dehazing, haze removal, object detection BibRef

Wu, X.Y.[Xian-Yun], Wang, K.[Keyan], Li, Y.S.[Yun-Song], Liu, K.[Kai], Huang, B.[Bormin],
Accelerating Haze Removal Algorithm Using CUDA,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Nair, D.[Deepa], Sankaran, P.[Praveen],
A modular architecture for high resolution image dehazing,
SP:IC(92), 2021, pp. 116113.
Elsevier DOI 2101
Dehazing, image quality assessment, Laplacian matrix, Poisson solver BibRef

Ju, M., Ding, C., Ren, W., Yang, Y., Zhang, D., Guo, Y.J.,
IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model,
IP(30), 2021, pp. 2180-2192.
IEEE DOI 2102
geophysical image processing, image colour analysis, image enhancement, image restoration, IDE, scene exposure BibRef

Zhao, C.Y.[Chao-Yue], Jia, R.S.[Rui-Sheng], Liu, Q.M.[Qing-Ming], Sun, H.M.[Hong-Mei], Sun, H.B.[Hai-Bin],
Image dehazing method via a cycle generative adversarial network,
IET-IPR(14), No. 16, 19 December 2020, pp. 4240-4247.
DOI Link 2103
BibRef

Satrasupalli, S.[Sivaji], Daniel, E.[Ebenezer], Guntur, S.R.[Sitaramanjaneya Reddy], Shehanaz, S.[Shaik],
End to end system for hazy image classification and reconstruction based on mean channel prior using deep learning network,
IET-IPR(14), No. 17, 24 December 2020, pp. 4736-4743.
DOI Link 2104
BibRef

Liu, R., Li, S., Liu, J., Ma, L., Fan, X., Luo, Z.,
Learning Hadamard-Product-Propagation for Image Dehazing and Beyond,
CirSysVideo(31), No. 4, April 2021, pp. 1366-1379.
IEEE DOI 2104
Task analysis, Image enhancement, Atmospheric modeling, Image color analysis, Deep learning, Image restoration, Distortion, image dehazing BibRef

Dhara, S.K.[Sobhan Kanti], Roy, M.[Mayukh], Sen, D.[Debashis], Biswas, P.K.[Prabir Kumar],
Color Cast Dependent Image Dehazing via Adaptive Airlight Refinement and Non-Linear Color Balancing,
CirSysVideo(31), No. 5, 2021, pp. 2076-2081.
IEEE DOI 2105
BibRef

Mehra, A.[Aryan], Narang, P.[Pratik], Mandal, M.[Murari],
TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing,
JVCIR(77), 2021, pp. 103137.
Elsevier DOI 2106
Dehazing, Computation efficiency, Speed and memory tests, Design choices BibRef

Agrawal, S.C.[Subhash Chand], Jalal, A.S.[Anand Singh],
A joint cumulative distribution function and gradient fusion based method for dehazing of long shot hazy images,
JVCIR(77), 2021, pp. 103087.
Elsevier DOI 2106
Image dehazing, Joint cumulative distribution, Nearby haze, Faraway haze, Image fusion, Gradient domain BibRef

Kim, G.[Guisik], Park, S.W.[Sung Woo], Kwon, J.[Junseok],
Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing,
IP(30), 2021, pp. 5452-5462.
IEEE DOI 2106
Tensors, Image enhancement, Lighting, Network architecture, Estimation, Channel estimation, Transforms, Dehazing, image enhancement BibRef

Lee, Y.H.[Yu-Hsuan], Tang, S.J.[Sheng-Jie],
A Design of Image Dehazing Engine Using DTE and DAE Techniques,
CirSysVideo(31), No. 7, July 2021, pp. 2880-2895.
IEEE DOI 2107
Scattering, Engines, Estimation, Artificial intelligence, Throughput, Atmospheric modeling, Image resolution, Image dehazing, airlight, energy efficiency BibRef

Kumar, A.[Avishek], Jha, R.K.[Rajib Kumar], Nishchal, N.K.[Naveen K.],
An improved Gamma correction model for image dehazing in a multi-exposure fusion framework,
JVCIR(78), 2021, pp. 103122.
Elsevier DOI 2107
Image dehazing, Gamma correction model, Multi-exposure fusion BibRef

Yuan, F.N.[Fei-Niu], Zhou, Y.[Yu], Xia, X.[Xue], Qian, X.M.[Xue-Ming], Huang, J.[Jian],
A confidence prior for image dehazing,
PR(119), 2021, pp. 108076.
Elsevier DOI 2108
Regression, Classification, Image dehazing, Confidence prior, Appearance feature BibRef

Zhao, D.[Dong], Xu, L.[Long], Ma, L.[Lin], Li, J.[Jia], Yan, Y.H.[Yi-Hua],
Pyramid Global Context Network for Image Dehazing,
CirSysVideo(31), No. 8, August 2021, pp. 3037-3050.
IEEE DOI 2108
Context modeling, Convolution, Atmospheric modeling, Scattering, Solid modeling, Databases, Estimation, Image dehazing, deep learning, dilated residual U-Net (DRU) BibRef

Fujimura, Y.[Yuki], Sonogashira, M.[Motoharu], Iiyama, M.[Masaaki],
Dehazing Cost Volume for Deep Multi-View Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation,
CVIU(211), 2021, pp. 103253.
Elsevier DOI 2110
BibRef
Earlier:
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media,
ACCV20(I:261-277).
Springer DOI 2103
Multi-view stereo, Depth estimation, Scattering media, Airlight, Scattering coefficient BibRef

Cao, Z.W.[Zhi-Wei], Qin, Y.[Yong], Jia, L.M.[Li-Min], Xie, Z.Y.[Zheng-Yu], Liu, Q.H.[Qing-Hong], Ma, X.P.[Xiao-Ping], Yu, C.C.[Chong-Chong],
Haze Removal of Railway Monitoring Images Using Multi-Scale Residual Network,
ITS(22), No. 12, December 2021, pp. 7460-7473.
IEEE DOI 2112
Rail transportation, Atmospheric modeling, Monitoring, Residual neural networks, Training, Image quality, residual network BibRef

Wei, H.R.[Hao-Ran], Wu, Q.B.[Qing-Bo], Li, H.[Hui], Ngan, K.N.[King Ngi], Li, H.L.[Hong-Liang], Meng, F.M.[Fan-Man], Xu, L.F.[Lin-Feng],
Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning,
IP(30), 2021, pp. 9136-9149.
IEEE DOI 2112
Cognition, Atmospheric modeling, Scattering, Logic gates, Task analysis, Visualization, Image restoration, bidimensional graph reasoning BibRef

Ju, M.Y.[Ming-Ye], Ding, C.[Can], Guo, C.A.[Charles A.], Ren, W.Q.[Wen-Qi], Tao, D.C.[Da-Cheng],
IDRLP: Image Dehazing Using Region Line Prior,
IP(30), 2021, pp. 9043-9057.
IEEE DOI 2112
Atmospheric modeling, Image color analysis, Optimization, Image restoration, Brightness, Scattering, Interference, 2D joint optimization BibRef

Zhang, X.Q.[Xiao-Qin], Wang, T.[Tao], Luo, W.H.[Wen-Han], Huang, P.C.[Peng-Cheng],
Multi-Level Fusion and Attention-Guided CNN for Image Dehazing,
CirSysVideo(31), No. 11, November 2021, pp. 4162-4173.
IEEE DOI 2112
Atmospheric modeling, Image restoration, Feature extraction, Convolution, Semantics, Scattering, Task analysis, Image dehazing, CNN, attention module BibRef

Ge, W.Y.[Wen-Yi], Lin, Y.[Yi], Wang, Z.T.[Zhi-Tao], Wang, G.G.[Gui-Gui], Tan, S.H.[Shi-Han],
An Improved U-Net Architecture for Image Dehazing,
IEICE(E104-D), No. 12, December 2021, pp. 2218-2225.
WWW Link. 2112
BibRef

Kumar, A.[Avishek], Jha, R.K.[Rajib Kumar], Nishchal, N.K.[Naveen K.],
A multi-exposure fusion framework for contrast enhancement of hazy images employing dynamic stochastic resonance,
JVCIR(81), 2021, pp. 103376.
Elsevier DOI 2112
Dynamic stochastic resonance, Image dehazing, Restoration, Weight maps, Multi-scale fusion, Modified atmospheric scattering equation BibRef

Hodges, C.[Cameron], Bennamoun, M.[Mohammed], Boussaid, F.[Farid],
Quantitative performance evaluation of object detectors in hazy environments,
PRL(152), 2021, pp. 150-157.
Elsevier DOI 2112
Object detection, Deep learning, Haze BibRef

Huang, S.Q.[Shi-Qi], Xu, J.[Jie], Liu, Z.G.[Zhi-Gang], Sun, K.[Ke], Lu, Y.[Ying],
Image haze removal based on rolling deep learning and Retinex theory,
IET-IPR(16), No. 2, 2022, pp. 485-498.
DOI Link 2201
BibRef

Shin, J.[Joongchol], Park, H.[Hasil], Paik, J.[Joonki],
Region-Based Dehazing via Dual-Supervised Triple-Convolutional Network,
MultMed(24), 2022, pp. 245-260.
IEEE DOI 2202
Atmospheric modeling, Degradation, Image edge detection, Brightness, Rail to rail outputs, Neural networks, self-supervised learning BibRef

Liu, Y.T.[Yan-Ting], Yin, H.[Hui], Wan, J.[Jin], Liu, Z.H.[Zhi-Hao], Chong, A.[Aixin],
Edge Aware Network for Image Dehazing,
SPLetters(29), 2022, pp. 174-178.
IEEE DOI 2202
Image edge detection, Feature extraction, Training, Convolution, Decoding, Task analysis, Image restoration, Image dehazing, edge aware BibRef

Bai, H.R.[Hao-Ran], Pan, J.S.[Jin-Shan], Xiang, X.G.[Xin-Guang], Tang, J.H.[Jin-Hui],
Self-Guided Image Dehazing Using Progressive Feature Fusion,
IP(31), 2022, pp. 1217-1229.
IEEE DOI 2202
Feature extraction, Image restoration, Atmospheric modeling, Estimation, Scattering, Image color analysis, progressive feature fusion BibRef

Hu, D.S.[Dao-Song], Yang, Y.[Yang], Li, B.[Bo], Tang, H.M.[Hui-Ming], Xu, Y.[Yu],
Fast outdoor hazy image dehazing based on saturation and brightness,
IET-IPR(16), No. 3, 2022, pp. 900-912.
DOI Link 2202
BibRef

Agrawal, S.C.[Subhash Chand], Jalal, A.S.[Anand Singh],
Dense Haze Removal by Nonlinear Transformation,
CirSysVideo(32), No. 2, February 2022, pp. 593-607.
IEEE DOI 2202
Image color analysis, Filtering, Nonlinear distortion, Image restoration, Atmospheric modeling, Scattering, Meteorology, dense haze BibRef

Chen, J.Y.[Ji-You], Yang, G.[Gaobo], Ding, X.L.[Xiang-Ling], Guo, Z.Q.[Zhi-Qing], Wang, S.[Shuai],
Robust detection of dehazed images via dual-stream CNNs with adaptive feature fusion,
CVIU(217), 2022, pp. 103357.
Elsevier DOI 2203
Image dehazing detection, Illuminations consistency, Adaptive fusion 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

Zhang, J.[Jiahe], Min, X.K.[Xiong-Kuo], Zhu, Y.C.[Yu-Cheng], Zhai, G.T.[Guang-Tao], Zhou, J.T.[Jian-Tao], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
HazDesNet: An End-to-End Network for Haze Density Prediction,
ITS(23), No. 4, April 2022, pp. 3087-3102.
IEEE DOI 2204
Atmospheric modeling, Databases, Meteorology, Training, Task analysis, Predictive models, Mathematical model, deep learning BibRef

Xu, H.Y.[Hao-Yu], Li, Y.N.[Yue-Nan],
A Deep Neural Network for Coarse-to-Fine Image Dehazing with Interleaved Residual Connections and Semi-Supervised Training,
IEICE(E105-D), No. 5, May 2022, pp. 1125-1129.
WWW Link. 2205
BibRef

Lee, S.[Seungmin], Ngo, D.[Dat], Kang, B.[Bongsoon],
Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ma, X.F.[Xiao-Feng], Wang, Q.M.[Qun-Ming], Tong, X.H.[Xiao-Hua],
A spectral grouping-based deep learning model for haze removal of hyperspectral images,
PandRS(188), 2022, pp. 177-189.
Elsevier DOI 2205
Spectral correlation, Haze removal, Hyperspectral images, Deep learning BibRef

Nie, J.[Jing], Pang, Y.W.[Yan-Wei], Xie, J.[Jin], Pan, J.[Jing], Han, J.G.[Jun-Gong],
Stereo Refinement Dehazing Network,
CirSysVideo(32), No. 6, June 2022, pp. 3334-3345.
IEEE DOI 2206
Feature extraction, Atmospheric modeling, Task analysis, Stereo vision, Image restoration, Computational modeling, channel and spatial refinement 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

Ju, M.Y.[Ming-Ye], Ding, C.[Can], Ren, W.Q.[Wen-Qi], Yang, Y.[Yi],
IDBP: Image Dehazing Using Blended Priors Including Non-Local, Local, and Global Priors,
CirSysVideo(32), No. 7, July 2022, pp. 4867-4871.
IEEE DOI 2207
Estimation, Atmospheric modeling, Image color analysis, Mathematical model, Image restoration, Training, Scattering, image dehazing BibRef

Jiao, L.[Libin], Hu, C.[Changmiao], Huo, L.[Lianzhi], Tang, P.[Ping],
Guided-Pix2Pix+: End-to-end spatial and color refinement network for image dehazing,
SP:IC(107), 2022, pp. 116758.
Elsevier DOI 2208
End-to-end image dehazing, Spatial transmission refinement, Color refinement, Intensity standardization and outlier-clipping BibRef

Liu, X.N.[Xiao-Ning], Li, H.[Hui], Zhu, C.[Ce],
Joint Contrast Enhancement and Exposure Fusion for Real-World Image Dehazing,
MultMed(24), 2022, pp. 3934-3946.
IEEE DOI 2208
Image color analysis, Atmospheric modeling, Histograms, Visualization, Transforms, Scattering, Image enhancement, image enhancement BibRef

Roy, S.D.[Sourav Dey], Pal, T.[Tannistha], Bhowmik, M.K.[Mrinal Kanti],
Benchmarking of Natural Scene Image Dataset In Degraded Conditions for Visibility Enhancement,
ICIP21(1999-2003)
IEEE DOI 2201
Measurement, Deep learning, Statistical analysis, Image processing, Lighting, Atmosphere, Atmospheric Conditions, Quantitative Analysis BibRef

Zhang, J.G.[Jin-Gang], Ren, W.Q.[Wen-Qi], Zhang, S.D.[Sheng-Dong], Zhang, H.[He], Nie, Y.F.[Yun-Feng], Xue, Z.[Zhe], Cao, X.C.[Xiao-Chun],
Hierarchical Density-Aware Dehazing Network,
Cyber(52), No. 10, October 2022, pp. 11187-11199.
IEEE DOI 2209
Atmospheric modeling, Laplace equations, Feature extraction, Decoding, Computational modeling, Image resolution, Generators, hierarchical network BibRef

Wu, Y.Q.[Yi-Qiang], Tao, D.P.[Da-Peng], Zhan, Y.B.[Yi-Bing], Zhang, C.Y.[Chen-Yang],
BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing,
IP(31), 2022, pp. 6635-6648.
IEEE DOI 2211
Training, Image restoration, Image color analysis, Band-pass filters, Convolutional neural networks, restoration diversity BibRef

Si, Y.Z.[Yao-Zhong], Yang, F.[Fan], Guo, Y.[Ya], Zhang, W.[Wei], Yang, Y.[Yipu],
A comprehensive benchmark analysis for sand dust image reconstruction,
JVCIR(89), 2022, pp. 103638.
Elsevier DOI 2212
Sand dust image, Benchmark dataset, Image reconstruction, Comprehensive evaluation, Convolutional neural networks BibRef

Hua, Z.[Zhongwei], Qi, L.[Lizhe], Guan, M.[Min], Su, H.[Hao], Sun, Y.Q.[Yun-Quan],
Colour balance and contrast stretching for sand-dust image enhancement,
IET-IPR(16), No. 14, 2022, pp. 3768-3780.
DOI Link 2212
BibRef

Jeong, J.I.[Jaein I.], Seo, J.[Jisu], Park, R.J.[Rokjin J.],
Compromised Improvement of Poor Visibility Due to PM Chemical Composition Changes in South Korea,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, Y.Z.[Yong-Zhen], Yan, X.F.[Xue-Feng], Guan, D.H.[Dong-Hai], Wei, M.Q.[Ming-Qiang], Chen, Y.P.[Yi-Ping], Zhang, X.P.[Xiao-Ping], Li, J.[Jonathan],
Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN,
ITS(23), No. 11, November 2022, pp. 20368-20382.
IEEE DOI 2212
Training, Generative adversarial networks, Atmospheric modeling, Estimation, Image color analysis, Image reconstruction, Scattering, object detection BibRef

Wang, P.Y.[Peng-Yu], Zhu, H.Q.[Hong-Qing], Zhang, H.[Han], Wang, N.[Nan],
M-CBN: Manifold constrained joint image dehazing and super-resolution based on chord boosting network,
PR(135), 2023, pp. 109166.
Elsevier DOI 2212
Image dehazing, Chord boosting network, Super-resolution, Frequency feature cross-collaboration, Manifold constraint BibRef

Kim, G.[Guisik], Kwon, J.[Junseok],
Self-Parameter Distillation Dehazing,
IP(32), 2023, pp. 631-642.
IEEE DOI 2301
Knowledge engineering, Training, Task analysis, Atmospheric modeling, Feature extraction, Backpropagation, deraining BibRef

Zhang, S.D.[Sheng-Dong], Ren, W.Q.[Wen-Qi], Tan, X.[Xin], Wang, Z.J.[Zhi-Jie], Liu, Y.[Yong], Zhang, J.[Jingang], Zhang, X.Q.[Xiao-Qin], Cao, X.C.[Xiao-Chun],
Semantic-Aware Dehazing Network With Adaptive Feature Fusion,
Cyber(53), No. 1, January 2023, pp. 454-467.
IEEE DOI 2301
Semantics, Feature extraction, Image segmentation, Image color analysis, Task analysis, Image reconstruction, semantic aware BibRef

Huang, Z.L.[Zi-Long], Jing, H.Y.[Hong-Yuan], Chen, A.[Aidong], Hong, C.[Chen], Shang, X.[Xinna],
Efficient image dehazing algorithm using multiple priors constraints,
JVCIR(90), 2023, pp. 103694.
Elsevier DOI 2301
Image dehazing, Atmospheric scattering model, Atmospheric light estimation, Multiple prior constraints BibRef

Liu, X.H.[Xiao-Hong], Shi, Z.H.[Zhi-Hao], Wu, Z.J.[Zi-Jun], Chen, J.[Jun], Zhai, G.T.[Guang-Tao],
GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing,
ITS(24), No. 1, January 2023, pp. 870-884.
IEEE DOI 2301
Atmospheric modeling, Image restoration, Data models, Task analysis, Knowledge transfer, Estimation, Training, intra-task knowledge transfer BibRef

Liu, X.H.[Xiao-Hong], Ma, Y.R.[Yong-Rui], Shi, Z.H.[Zhi-Hao], Chen, J.[Jun],
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing,
ICCV19(7313-7322)
IEEE DOI 2004
convolutional neural nets, feature extraction, image colour analysis, image restoration, Data models BibRef

Xu, X.B.[Xia-Bin], Qu, Q.Y.[Qin-Yang], Zhang, H.J.[Hao-Jie], Wang, J.L.[Jia-Li], Wu, J.L.[Jia-Lin], Ran, Y.Y.[Ying-Ying], Tan, Z.Y.[Zhi-Ying],
Polarized laser target detection system for smoky environment based on full-waveform decomposition and multiscale convolutional neural networks with attention,
PandRS(199), 2023, pp. 214-225.
Elsevier DOI 2305
Polarized detection, Smoky environment, Full-waveform decomposition, Convolutional Neural Networks (CNN) BibRef

Liu, Y.[Yong], Hou, X.R.[Xiao-Rong],
Local Multi-Scale Feature Aggregation Network for Real-Time Image Dehazing,
PR(141), 2023, pp. 109599.
Elsevier DOI 2306
Deep learning, Feature aggregation, Image restoration, Lightweight network, Multi-scale BibRef

Li, C.Y.[Cheng-Yang], Zhou, H.[Heng], Liu, Y.[Yang], Yang, C.D.[Cai-Dong], Xie, Y.Q.[Yong-Qiang], Li, Z.B.[Zhong-Bo], Zhu, L.P.[Li-Ping],
Detection-Friendly Dehazing: Object Detection in Real-World Hazy Scenes,
PAMI(45), No. 7, July 2023, pp. 8284-8295.
IEEE DOI 2306
Image restoration, Modeling, Image recognition, Training, Object detection, Feature extraction, Proposals, Dehazing, weakly-supervised BibRef

Narayanan, P.[Priya], Hu, X.[Xin], Wu, Z.Y.[Zhen-Yu], Thielke, M.D.[Matthew D.], Rogers, J.G.[John G.], Harrison, A.V.[Andre V.], D'Agostino, J.A.[John A.], Brown, J.D.[James D], Quang, L.P.[Long P.], Uplinger, J.R.[James R.], Kwon, H.S.[Hee-Sung], Wang, Z.Y.[Zhang-Yang],
A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth,
IP(32), 2023, pp. 3481-3492.
IEEE DOI 2307
Detectors, Benchmark testing, Visualization, Scattering, Object detection, Image color analysis, Atmospheric modeling, benchmarking BibRef

Zhang, D.[Dan], Zhou, J.C.[Jing-Chun], Zhang, D.[Dehuan], Qi, P.F.[Peng-Fei],
Scale-progressive Multi-patch Network for image dehazing,
SP:IC(117), 2023, pp. 117023.
Elsevier DOI 2308
Image dehazing, Image restoration, Multi-scale CNN, Multi-patch CNN BibRef

Ancuti, C.O.[Codruta O.], Ancuti, C.[Cosmin], Vasluianu, F.A.[Florin-Alexandru], Timofte, R.[Radu], Zhou, H.[Han], Dong, W.[Wei], Liu, Y.Y.[Yang-Yi], Chen, J.[Jun], Liu, Y.Y.[Yang-Yi], Liu, H.[Huan], Li, L.Y.[Liang-Yan], Wu, Z.J.[Zi-Jun], Chen, J.[Jun], Dong, Y.[Yubo], Li, Y.Y.[Yu-Yan], Qiu, T.[Tian], He, Y.[Yu], Lu, Y.H.[Yong-Hong], Wu, Y.W.[Yin-Wei], Jiang, Z.X.[Zhen-Xiang], Liu, S.[Songhua], Yang, X.Y.[Xing-Yi], Jing, Y.C.[Yong-Cheng], Benjdira, B.[Bilel], Ali, A.M.[Anas M.], Koubaa, A.[Anis], Yang, H.H.[Hao-Hsiang], Chen, I.H.[I-Hsiang], Chen, W.T.[Wei-Ting], Huang, Z.K.[Zhi-Kai], Chen, Y.C.[Yi-Chung], Hsieh, C.H.[Chia-Hsuan], Chang, H.E.[Hua-En], Chiang, Y.C.[Yuan-Chun], Kuo, S.Y.[Sy-Yen], Guo, Y.[Yu], Gao, Y.[Yuan], Liu, R.W.[Ryan Wen], Lu, Y.[Yuxu], Qu, J.X.[Jing-Xiang], He, S.F.[Sheng-Feng], Ren, W.Q.[Wen-Qi], Hoang, T.[Trung], Zhang, H.[Haichuan], Yazdani, A.[Amirsaeed], Monga, V.[Vishal], Yang, L.[Lehan], Wu, A.J.H.[Alex Jia-Hao], Mai, T.C.[Tian-Cheng], Cong, X.F.[Xiao-Feng], Yin, X.[Xuemeng], Yin, X.F.[Xue-Fei], Emad, H.[Hazim], Abdallah, A.[Ahmed], Yasser, Y.[Yahya], Elshahat, D.[Dalia], Elbaz, E.[Esraa], Li, Z.[Zhan], Kuang, W.Q.[Wen-Qing], Luo, Z.W.[Zi-Wei], Gustafsson, F.K.[Fredrik K.], Zhao, Z.[Zheng], Sjölund, J.[Jens], Schön, T.B.[Thomas B.], Zhang, Z.[Zhao], Wei, Y.Y.[Yan-Yan], Wang, J.[Junhu], Zhao, S.[Suiyi], Zheng, H.[Huan], Guo, J.[Jin], Sun, Y.F.[Yang-Fan], Liu, T.[Tianli], Hao, D.J.[De-Jun], Jiang, K.[Kui], Sarvaiya, A.[Anjali], Prajapati, K.[Kalpesh], Patra, R.[Ratnadeep], Barik, P.[Pragnesh], Rathod, C.[Chaitanya], Upla, K.[Kishor], Raja, K.[Kiran], Ramachandra, R.[Raghavendra], Busch, C.[Christoph],
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report,
NTIRE23(1808-1825)
IEEE DOI 2309
BibRef

Wang, Y.Z.[Yong-Zhen], Xiong, J.[Jiamei], Yan, X.F.[Xue-Feng], Wei, M.Q.[Ming-Qiang],
USCFormer: Unified Transformer With Semantically Contrastive Learning for Image Dehazing,
ITS(24), No. 10, October 2023, pp. 11321-11333.
IEEE DOI 2310
BibRef

Kato, O.[Onhi], Kubota, A.[Akira],
Fusion-Based Edge and Color Recovery Using Weighted Near-Infrared Image and Color Transmission Maps for Robust Haze Removal,
IEICE(E106-D), No. 10, October 2023, pp. 1661-1672.
WWW Link. 2310
BibRef

Meng, X.Z.[Xiao-Zhe], Liu, R.Z.[Rui-Zhi], Su, Z.[Zhuo], Zhou, F.[Fan],
Transfer Learning Dehazing Network by Gaussian Process Mapping,
SP:IC(119), 2023, pp. 117033.
Elsevier DOI 2310
Image dehazing, Gaussian process, Transfer learning BibRef

Meng, X.Z.[Xiao-Zhe], Feng, Y.X.[Yu-Xin], Zhou, F.[Fan], Liang, Y.[Yun], Su, Z.[Zhuo],
Towards real-world haze removal with uncorrelated graph model,
JVCIR(96), 2023, pp. 103927.
Elsevier DOI 2310
Image dehazing, Quality interference, Feature decorrelation, Light control BibRef

Guan, T.[Tuxin], Li, C.F.[Chao-Feng], Gu, K.[Ke], Liu, H.T.[Han-Tao], Zheng, Y.H.[Yu-Hui], Wu, X.J.[Xiao-Jun],
Visibility and Distortion Measurement for No-Reference Dehazed Image Quality Assessment via Complex Contourlet Transform,
MultMed(25), 2023, pp. 3934-3949.
IEEE DOI 2310
BibRef

Zhang, Z.P.[Zheng-Peng], Cheng, Y.[Yan], Zhang, S.[Shuai], Bu, L.J.[Li-Jing], Deng, M.J.[Ming-Jun],
A multimodal feature fusion image dehazing method with scene depth prior,
IET-IPR(17), No. 11, 2023, pp. 3079-3094.
DOI Link 2310
attention mechanisms, deep prior, dehazing network, difference convolution, multimodal feature fusion BibRef

Feng, Y.X.[Yu-Xin], Meng, X.Z.[Xiao-Zhe], Zhou, F.[Fan], Lin, W.S.[Wei-Si], Su, Z.[Zhuo],
Real-World Non-Homogeneous Haze Removal by Sliding Self-Attention Wavelet Network,
CirSysVideo(33), No. 10, October 2023, pp. 5470-5485.
IEEE DOI 2310
BibRef

Zhu, Z.C.[Zhan-Chen], Zhang, D.K.[Dao-Kun], Wang, Z.K.[Zhi-Kang], Feng, S.Y.[Si-Yuan], Duan, P.[Peibo],
Spectral Dual-Channel Encoding for Image Dehazing,
CirSysVideo(33), No. 11, November 2023, pp. 6236-6248.
IEEE DOI 2311
BibRef

Li, Y.[Yunan], Chen, H.[Huizhou], Miao, Q.G.[Qi-Guang], Ge, D.[Daohui], Liang, S.[Siyu], Ma, Z.Q.[Zhuo-Qi], Zhao, B.[Bocheng],
Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation With a Weakly Supervised Framework,
MultMed(25), 2023, pp. 4704-4717.
IEEE DOI 2311
BibRef

Zheng, L.R.[Li-Rong], Li, Y.[Yanshan], Zhang, K.[Kaihao], Luo, W.H.[Wen-Han],
T-Net: Deep Stacked Scale-Iteration Network for Image Dehazing,
MultMed(25), 2023, pp. 6794-6807.
IEEE DOI 2311
BibRef

Wang, M.[Meihua], Liao, L.[Lei], Huang, D.[De], Fan, Z.[Zhun], Zhuang, J.[Jiafan], Zhang, W.[Wensheng],
Frequency and content dual stream network for image dehazing,
IVC(139), 2023, pp. 104820.
Elsevier DOI 2311
Image dehazing, Frequency features, Attention octave convolution, Dual self-attention BibRef

Wang, T.[Tao], Tao, G.P.[Guang-Pin], Lu, W.L.[Wang-Long], Zhang, K.H.[Kai-Hao], Luo, W.H.[Wen-Han], Zhang, X.Q.[Xiao-Qin], Lu, T.[Tong],
Restoring vision in hazy weather with hierarchical contrastive learning,
PR(145), 2024, pp. 109956.
Elsevier DOI 2311
Image dehazing, Hierarchical contrastive loss, Feature fusion, Contrastive learning BibRef

Lyu, N.[Nana], Zhao, J.[Jian], Liu, P.[Pengbo], Li, L.H.[Lin-Hui], He, Y.J.[Ying-Jie], Su, T.[Tianfa], Wen, J.X.[Jian-Xi],
Scene-Adaptive Real-Time Fast Dehazing and Detection in Driving Environment,
ITS(24), No. 12, December 2023, pp. 15288-15299.
IEEE DOI 2312
BibRef

Babu, G.H.[G. Harish], Odugu, V.K.[Venkata Krishna], Venkatram, N., Satish, B., Revathi, K., Rao, B.J.[B. Janardhana],
Development and performance evaluation of enhanced image dehazing method using deep learning networks,
JVCIR(97), 2023, pp. 103976.
Elsevier DOI 2312
Image dehazing, Neural networks, CNN, Deep learning, PSNR, Dehazing network and discriminator network BibRef

Xie, X.X.[Xin-Xiu], Li, C.F.[Chao-Feng], Guan, T.[Tuxin], Zheng, Y.H.[Yu-Hui], Wu, X.J.[Xiao-Jun],
A novel complex-valued convolutional network for real-world single image dehazing,
JVCIR(97), 2023, pp. 103984.
Elsevier DOI 2312
Real-world image dehazing, Complex-valued convolutional network, Phase information BibRef

Lv, X.[Xiao], Xiang, T.[Tao], Yang, Y.[Ying], Liu, H.T.[Han-Tao],
Blind Dehazed Image Quality Assessment: A Deep CNN-Based Approach,
MultMed(25), 2023, pp. 9410-9424.
IEEE DOI 2312
BibRef

Guan, T.[Tuxin], Li, C.F.[Chao-Feng], Zheng, Y.H.[Yu-Hui], Wu, X.J.[Xiao-Jun], Bovik, A.C.[Alan C.],
Dual-Stream Complex-Valued Convolutional Network for Authentic Dehazed Image Quality Assessment,
IP(33), 2024, pp. 466-478.
IEEE DOI 2401
Streaming media, Image quality, Feature extraction, Transforms, Computational modeling, Task analysis, dual-tree complex wavelet transform BibRef

Zhang, G.Q.[Guo-Qing], Fang, W.X.[Wen-Xuan], Zheng, Y.H.[Yu-Hui], Wang, R.[Ruili],
SDBAD-Net: A Spatial Dual-Branch Attention Dehazing Network Based on Meta-Former Paradigm,
CirSysVideo(34), No. 1, January 2024, pp. 60-70.
IEEE DOI 2401
BibRef

Hu, K.[Ke], Wu, F.[Fei], Zhan, Z.F.[Zhen-Fei], Luo, J.[Jun], Pu, H.[Huayan],
High-low level task combination for object detection in foggy weather conditions,
JVCIR(98), 2024, pp. 104042.
Elsevier DOI 2402
Object detection, Foggy weather, Image dehazing, Multitask learning BibRef

Zhang, C.Y.[Chen-Yang], Jing, H.Y.[Hong-Yuan], Wei, S.[Shuang], Chen, J.X.[Jia-Xing], Shang, X.[Xinna], Chen, A.[Aidong],
DPAFD-net: A dual-path adaptive fusion dehazing network,
JVCIR(98), 2024, pp. 104018.
Elsevier DOI 2402
Image dehazing, Dual-path network, Adaptive fusion, Scale-invariant subnetwork, Structure extraction subnetwork BibRef

Yan, C.D.[Chang-Da], Zhang, X.[Xin], Wang, X.[Xia], Jiao, G.[Gangcheng], He, H.[Huiyang],
A Novel Simulation for Polarization Dehazing,
SPLetters(31), 2024, pp. 341-345.
IEEE DOI 2402
Scattering, Attenuation, Atmospheric modeling, Feature extraction, Training, Meteorology, Cameras, Deep learning, simulation BibRef

Li, H.Y.[Hai-Yan], Qiao, R.C.[Ren-Chao], Yu, P.F.[Peng-Fei], Li, H.J.[Hai-Jiang], Tan, M.C.[Ming-Chuan],
CTHD-Net: CNN-Transformer hybrid dehazing network via residual global attention and gated boosting strategy,
JVCIR(99), 2024, pp. 104066.
Elsevier DOI Code:
WWW Link. 2403
Image dehazing, Attention mechanism, Transformer, Gated mechanism, Boosting strategy BibRef

Gui, J.[Jie], Cong, X.F.[Xiao-Feng], He, L.[Lei], Tang, Y.Y.[Yuan Yan], Kwok, J.T.Y.[James Tin-Yau],
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding,
MultMed(26), 2024, pp. 4819-4830.
IEEE DOI Code:
WWW Link. 2403
Lighting, Atmospheric modeling, Transformers, Training, Scattering, Task analysis, Decoding, Image dehazing, illumination controllable, unsupervised prior BibRef

Yang, Y.[Yang], Guo, C.L.[Chun-Le], Guo, X.J.[Xiao-Jie],
Depth-Aware Unpaired Video Dehazing,
IP(33), 2024, pp. 2388-2403.
IEEE DOI Code:
WWW Link. 2404
Task analysis, Rain, Feature extraction, Degradation, Transformers, Noise reduction, Image restoration, Video dehazing, image dehazing, unpaire learning BibRef

Chen, J.[Jiyou], Yang, G.[Gaobo], Wang, S.[Shengchun], Wang, D.[Dewang], Liao, X.[Xin],
Image Dehazing Assessment: A Real-World Dataset and a Haze Density-Aware Criteria,
MultMed(26), 2024, pp. 6037-6049.
IEEE DOI 2404
Task analysis, Image quality, Distortion, Transfer learning, Benchmark testing, Training, Meteorology, benchmark dataset BibRef

Wang, J.[Junhu], Wei, Y.Y.[Yan-Yan], Zhang, Z.[Zhao], Fan, J.[Jicong], Zhao, Y.[Yang], Yang, Y.[Yi], Wang, M.[Meng],
Progressive Stereo Image Dehazing Network via Cross-View Region Interaction,
MultMed(26), 2024, pp. 7490-7502.
IEEE DOI 2405
Image restoration, Task analysis, Feature extraction, Cameras, Decoding, Correlation, Image color analysis, stereo image dehazing BibRef

Wang, Z.Z.[Zhong-Ze], Zhao, H.T.[Hai-Tao], Yao, L.[Lujian], Peng, J.C.[Jing-Chao], Zhao, K.[Kaijie],
DFR-Net: Density Feature Refinement Network for Image Dehazing Utilizing Haze Density Difference,
MultMed(26), 2024, pp. 7673-7686.
IEEE DOI 2405
Feature extraction, Proposals, Image restoration, Atmospheric modeling, Task analysis, Robustness, Refining, image restoration BibRef

Yang, Y.[Yang], Wang, C.[Chaoyue], Guo, X.J.[Xiao-Jie], Tao, D.C.[Da-Cheng],
Robust Unpaired Image Dehazing via Density and Depth Decomposition,
IJCV(132), No. 5, May 2024, pp. 1557-1577.
Springer DOI 2405
BibRef

Yang, Y.[Yang], Wang, C.[Chaoyue], Liu, R.S.[Ri-Sheng], Zhang, L.[Lin], Guo, X.J.[Xiao-Jie], Tao, D.C.[Da-Cheng],
Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition,
CVPR22(2027-2036)
IEEE DOI 2210
Training, Computational modeling, Scattering, Estimation, Training data, Data models, Low-level vision, Self- semi- meta- unsupervised learning BibRef

Jin, K.[Kaijie], Li, G.[Guohou], Zhou, L.[Ling], Fan, Y.Q.[Yu-Qian], Jiang, J.P.[Ji-Ping], Dai, C.G.[Cheng-Gang], Zhang, W.D.[Wei-Dong],
Image dehazing using non-local haze-lines and multi-exposure fusion,
JVCIR(101), 2024, pp. 104145.
Elsevier DOI 2406
Image dehazing, Gamma correction, Image fusion, Image enhancement BibRef

Wang, Y.X.[Yu-Xi], Hu, J.[Jing], Zhang, R.G.[Rong-Guo], Wang, L.F.[Li-Fang], Zhang, R.[Rui], Liu, X.J.[Xiao-Jun],
Heterogeneity constrained color ellipsoid prior image dehazing algorithm,
JVCIR(101), 2024, pp. 104177.
Elsevier DOI 2406
BibRef
And: Corrigendum: JVCIR(103), 2024, pp. 104235.
Elsevier DOI 2409
Heterogeneity constraints, Color ellipsoid prior, Quadtree search, Differential filtering BibRef

Gui, J.[Jie], Cong, X.F.[Xiao-Feng], Peng, C.W.[Cheng-Wei], Tang, Y.Y.[Yuan Yan], Kwok, J.T.Y.[James Tin-Yau],
Fooling the Image Dehazing Models by First Order Gradient,
CirSysVideo(34), No. 7, July 2024, pp. 6265-6278.
IEEE DOI Code:
WWW Link. 2407
Task analysis, Training, Perturbation methods, Glass box, Robustness, Image restoration, Superresolution, Image dehazing, first order gradient BibRef

Liu, Y.T.[Yan-Ting], Yin, H.[Hui], Chong, A.[Aixin], Wan, J.[Jin],
Reference-Based Image Dehazing With Internal and External Contrastive Learning,
CirSysVideo(34), No. 7, July 2024, pp. 6092-6104.
IEEE DOI 2407
Atmospheric modeling, Task analysis, Training, Scattering, Image restoration, Computational modeling, Meteorology, contrastive learning BibRef

Nie, J.[Jing], Pang, Y.W.[Yan-Wei], Xie, J.[Jin], Han, J.G.[Jun-Gong], Li, X.L.[Xue-Long],
Binocular Image Dehazing via a Plain Network Without Disparity Estimation,
MultMed(26), 2024, pp. 7973-7986.
IEEE DOI 2408
BibRef
Earlier: A2, A1, A3, A4, A5:
BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation,
CVPR20(5930-5939)
IEEE DOI 2008
Atmospheric modeling, Object detection, Estimation, Image segmentation, Task analysis, Image restoration, convolutional neural network. Estimation, Correlation, Machine learning, Scattering BibRef

Ju, M.[Mingye], Li, F.[Fuping], Xie, S.Y.[Si-Ying],
FGN: A Fully Guided Network for Image Dehazing,
SPLetters(31), 2024, pp. 1870-1874.
IEEE DOI 2408
Feature extraction, Convolution, Transformers, Decoding, Training, Task analysis, Logic gates, Image dehazing, gating mechanism BibRef

Chen, W.T.[Wei-Ting], Yifan, W.[Wang], Kuo, S.Y.[Sy-Yen], Wetzstein, G.[Gordon],
DehazeNeRF: Multi-image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields,
3DV24(247-256)
IEEE DOI 2408
Solid modeling, Codes, Shape, Atmospheric modeling, Scattering, Neural radiance fields, Haze Removal, 3D Reconstruction BibRef

Cheng, D.[De], Li, Y.[Yan], Zhang, D.W.[Ding-Wen], Wang, N.N.[Nan-Nan], Sun, J.[Jiande], Gao, X.B.[Xin-Bo],
Progressive Negative Enhancing Contrastive Learning for Image Dehazing and Beyond,
MultMed(26), 2024, pp. 8783-8798.
IEEE DOI 2408
Training, Self-supervised learning, Task analysis, Image reconstruction, Atmospheric modeling, Robustness, progressive negative enhancing BibRef

Fu, F.[Feiran], Zhang, Z.[Zelong], Geng, X.[Xuena], Xu, J.[Jing], Fang, M.[Ming],
Optimized dehazing algorithm based on dark channel prior with Gabor filter and multiscale minimum filter,
IET-IPR(18), No. 11, 2024, pp. 2918-2929.
DOI Link 2409
fog, gabor filters, image filtering, image processing BibRef

Li, W.T.[Wen-Tao], Fan, D.[Deming], Zhu, Q.[Qi], Gao, Z.J.[Zhan-Jiang], Sun, H.[Hao],
HEDehazeNet: Unpaired image dehazing via enhanced haze generation,
IVC(150), 2024, pp. 105236.
Elsevier DOI 2409
Image dehazing, Haze enhancement, Unsupervised learning, Adversarial training, Channel-wise self-attention BibRef

Zheng, Y.Z.[Yuan-Zhou], Qian, L.[Long], Zhang, Y.F.[Yuan-Feng], Cao, J.X.[Jing-Xin], Liu, X.Y.[Xin-Yu], Ma, Y.[Yong],
A novel image dehazing algorithm for complex natural environments,
PR(157), 2025, pp. 110865.
Elsevier DOI 2409
Image dehazing, Intelligent ship, Hybrid dilated convolution, Hybrid attention, Mixed loss, Visual perception BibRef

Qiu, Y.W.[Yu-Wei], Zhang, K.[Kaihao], Wang, C.X.[Chen-Xi], Luo, W.H.[Wen-Han], Li, H.D.[Hong-Dong], Jin, Z.[Zhi],
MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing,
ICCV23(12756-12767)
IEEE DOI Code:
WWW Link. 2401
BibRef

Ancuti, C.O.[Codruta O.], Ancuti, C.[Cosmin], Vleeschouwer, C.D.[Christophe De],
Image Dehazing Guided by Low-Pass Reinforced Airlight,
ICIP23(2245-2249)
IEEE DOI 2312
BibRef

Xie, J.[Jiayu], Jin, X.[Xin],
Thermal Infrared Guided Color Image Dehazing,
ICIP23(2465-2469)
IEEE DOI 2312
BibRef

Mitra, S.[Somosmita], Park, B.H.[Byung H.],
DENSECL: Haze Mitigation Using Dense Blocks and Contrastive Loss Regularization,
ICIP23(2930-2934)
IEEE DOI 2312
BibRef

Zeng, T.T.[Tian-Tian], Zhang, L.[Lu], Zou, W.B.[Wen-Bin], Li, X.[Xia], Tian, S.[Shishun],
TRG-DQA: Texture Residual-Guided Dehazed Image Quality Assessment,
ICIP23(3075-3079)
IEEE DOI 2312
BibRef

Xu, J.Q.[Jia-Qi], Hu, X.W.[Xiao-Wei], Zhu, L.[Lei], Dou, Q.[Qi], Dai, J.F.[Ji-Feng], Qiao, Y.[Yu], Heng, P.A.[Pheng-Ann],
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior,
CVPR23(18053-18062)
IEEE DOI 2309
BibRef

Wu, R.Q.[Rui-Qi], Duan, Z.P.[Zheng-Peng], Guo, C.L.[Chun-Le], Chai, Z.[Zhi], Li, C.Y.[Chong-Yi],
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors,
CVPR23(22282-22291)
IEEE DOI 2309
BibRef

Kim, G.[Guisik], Park, J.[Jinhee], Kwon, J.[Junseok],
Deep Dehazing Powered by Image Processing Network,
NTIRE23(1209-1218)
IEEE DOI 2309
BibRef

Liu, Y.Y.[Yang-Yi], Liu, H.[Huan], Li, L.Y.[Liang-Yan], Wu, Z.J.[Zi-Jun], Chen, J.[Jun],
A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer,
NTIRE23(1406-1415)
IEEE DOI 2309
BibRef

Yang, H.H.[Hao-Hsiang], Chen, I.H.[I-Hsiang], Hsieh, C.H.[Chia-Hsuan], Chang, H.E.[Hua-En], Chiang, Y.C.[Yuan-Chun], Chen, Y.C.[Yi-Chung], Huang, Z.K.[Zhi-Kai], Chen, W.T.[Wei-Ting], Kuo, S.Y.[Sy-Yen],
Semantic Guidance Learning for High-Resolution Non-homogeneous Dehazing,
NTIRE23(1447-1455)
IEEE DOI 2309
BibRef

Hoang, T.[Trung], Zhang, H.[Haichuan], Yazdani, A.[Amirsaeed], Monga, V.[Vishal],
TransER: Hybrid Model and Ensemble-based Sequential Learning for Non-homogenous Dehazing,
NTIRE23(1670-1679)
IEEE DOI 2309
BibRef

Benjdira, B.[Bilel], Ali, A.M.[Anas M.], Koubaa, A.[Anis],
Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazing,
NTIRE23(1855-1864)
IEEE DOI 2309
BibRef

Guo, Y.[Yu], Gao, Y.[Yuan], Liu, R.W.[Ryan Wen], Lu, Y.[Yuxu], Qu, J.X.[Jing-Xiang], He, S.F.[Sheng-Feng], Ren, W.Q.[Wen-Qi],
SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing,
NTIRE23(1885-1894)
IEEE DOI 2309
BibRef

Zhou, H.[Han], Dong, W.[Wei], Liu, Y.Y.[Yang-Yi], Chen, J.[Jun],
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt,
NTIRE23(1895-1904)
IEEE DOI 2309
BibRef

Wang, G.[Guangfa], Yu, X.K.[Xiao-Kang],
MSF 2DN: Multi Scale Feature Fusion Dehazing Network with Dense Connection,
ACCV22(III:444-459).
Springer DOI 2307
BibRef

Hong, T.[Tao], Guo, X.Y.[Xiang-Yang], Zhang, Z.[Zeren], Ma, J.W.[Jin-Wen],
SG-Net: Semantic Guided Network for Image Dehazing,
ACCV22(III:274-289).
Springer DOI 2307
BibRef

Ju, G.J.[Gwang-Jin], Choi, Y.C.[Yeong-Cheol], Lee, D.[Donggun], Paik, J.H.[Jee Hyun], Hwang, G.[Gyeongha], Lee, S.Y.[Seung-Yong],
Self-supervised Dehazing Network Using Physical Priors,
ACCV22(III:290-305).
Springer DOI 2307
BibRef

Li, H.Y.[Hong-Yun], Guo, S.[Siming],
Image Dehazing via Pyramid Exposure Fusion,
ICIVC22(519-522)
IEEE DOI 2301
Image segmentation, Histograms, Image color analysis, Visual effects, Minimization, Optimization, image dehazing, multi-scale fusion BibRef

Ye, T.[Tian], Zhang, Y.C.[Yun-Chen], Jiang, M.C.[Ming-Chao], Chen, L.[Liang], Liu, Y.[Yun], Chen, S.X.[Si-Xiang], Chen, E.[Erkang],
Perceiving and Modeling Density for Image Dehazing,
ECCV22(XIX:130-145).
Springer DOI 2211
BibRef

Yu, H.[Hu], Zheng, N.[Naishan], Zhou, M.[Man], Huang, J.[Jie], Xiao, Z.[Zeyu], Zhao, F.[Feng],
Frequency and Spatial Dual Guidance for Image Dehazing,
ECCV22(XIX:181-198).
Springer DOI 2211
BibRef

Jiang, X.Y.[Xing-Yu], Dou, H.K.[Hong-Kun], Fu, C.W.[Cheng-Wei], Dai, B.Q.[Bing-Quan], Xu, T.R.[Tian-Run], Deng, Y.[Yue],
Boosting Supervised Dehazing Methods via Bi-level Patch Reweighting,
ECCV22(XVIII:57-73).
Springer DOI 2211
BibRef

Chen, J.[Jiyou], Wang, S.C.[Sheng-Chun], Liu, X.[Xin], Yang, G.[Gaobo],
RW-HAZE: A Real-World Benchmark Dataset to Evaluate Quantitatively Dehazing Algorithms,
ICIP22(11-15)
IEEE DOI 2211
Urban areas, Benchmark testing, Cameras, Robustness, image dehazing, benchmark dataset, performance evaluation BibRef

Laha, S.[Sumit], Foroosh, H.[Hassan],
Haar Wavelet-Based Attention Network for Image Dehazing,
ICIP22(3948-3952)
IEEE DOI 2211
Visualization, Image color analysis, Statistical analysis, Refining, Neural networks, Wavelet analysis, Robustness, convolutional neural networks BibRef

Luo, X.B.[Xiong-Biao],
Deeply Learned Structure-Aware Transmission for Image Haze Removal,
ICIP22(2056-2060)
IEEE DOI 2211
Photography, Visualization, Uncertainty, Benchmark testing, Information filters, Image restoration, computational photography BibRef

Guo, C.[Chunle], Yan, Q.X.[Qi-Xin], Anwar, S.[Saeed], Cong, R.[Runmin], Ren, W.Q.[Wen-Qi], Li, C.Y.[Chong-Yi],
Image Dehazing Transformer with Transmission-Aware 3D Position Embedding,
CVPR22(5802-5810)
IEEE DOI 2210
Convolution, Modulation, Benchmark testing, Transformers, Pattern recognition, Low-level vision BibRef

Li, Y.[Yi], Chang, Y.[Yi], Gao, Y.[Yan], Yu, C.F.[Chang-Feng], Yan, L.X.[Lu-Xin],
Physically Disentangled Intra- and Inter-domain Adaptation for Varicolored Haze Removal,
CVPR22(5831-5840)
IEEE DOI 2210
Adaptation models, Image color analysis, Atmospheric modeling, Computational modeling, Scattering, Pattern recognition, Low-level vision BibRef

Zheng, R.H.[Ruo-Hui], Tan, L.[Lin], Zhang, L.[Libao],
Nighttime Haze Removal with Spatially Variant Ambient Light and Saliency-Weighted Fused Transmission,
ICIP23(3528-3532)
IEEE DOI 2312
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

Suárez, P.L.[Patricia L.], Carpio, D.[Dario], Sappa, A.D.[Angel D.],
Non-homogeneous Haze Removal Through a Multiple Attention Module Architecture,
ISVC21(II:178-190).
Springer DOI 2112
BibRef

Zheng, Z.R.[Zhuo-Ran], Ren, W.Q.[Wen-Qi], Cao, X.C.[Xiao-Chun], Wang, T.[Tao], Jia, X.[Xiuyi],
Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning,
ICCV21(4429-4438)
IEEE DOI 2203
Visualization, Image resolution, Image color analysis, Image edge detection, Reconstruction algorithms, Dynamic range, Vision for robotics and autonomous vehicles BibRef

Zheng, Z.R.[Zhuo-Ran], Ren, W.Q.[Wen-Qi], Cao, X.C.[Xiao-Chun], Hu, X.B.[Xia-Bin], Wang, T.[Tao], Song, F.L.[Feng-Long], Jia, X.[Xiuyi],
Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning,
CVPR21(16180-16189)
IEEE DOI 2111
Training, Image resolution, Image edge detection, Feature extraction, Real-time systems, Pattern recognition, Image restoration
See also Fast Ultra High-Definition Video Deblurring via Multi-scale Separable Network. BibRef

Zhang, X.Y.[Xin-Yi], Dong, H.[Hang], Pan, J.S.[Jin-Shan], Zhu, C.[Chao], Tai, Y.[Ying], Wang, C.J.[Cheng-Jie], Li, J.L.[Ji-Lin], Huang, F.Y.[Fei-Yue], Wang, F.[Fei],
Learning to Restore Hazy Video: A New Real-World Dataset and A New Method,
CVPR21(9235-9244)
IEEE DOI 2111
Training, Costs, Computational modeling, Redundancy, Supervised learning, Pattern recognition BibRef

Chen, Z.Y.[Ze-Yuan], Wang, Y.C.[Yang-Chao], Yang, Y.[Yang], Liu, D.[Dong],
PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors,
CVPR21(7176-7185)
IEEE DOI 2111
Training, Measurement, Learning systems, Visualization, Data models, Pattern recognition BibRef

Jo, E.[Eunsung], Sim, J.Y.[Jae-Young],
Multi-Scale Selective Residual Learning for Non-Homogeneous Dehazing,
NTIRE21(507-515)
IEEE DOI 2109
Degradation, Image color analysis, Scattering, Tools, Distortion BibRef

Chen, T.Y.[Tian-Yi], Fu, J.H.[Jia-Hui], Jiang, W.T.[Wen-Tao], Gao, C.[Chen], Liu, S.[Si],
SRKTDN: Applying Super Resolution Method to Dehazing Task,
NTIRE21(487-496)
IEEE DOI 2109
Knowledge engineering, Image quality, Computational modeling, Superresolution, Scattering, Pattern recognition BibRef

Fu, M.[Minghan], Liu, H.[Huan], Yu, Y.[Yankun], Chen, J.[Jun], Wang, K.[Keyan],
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing,
NTIRE21(203-212)
IEEE DOI 2109
Training, Wavelet domain, Image color analysis, Frequency-domain analysis, Generative adversarial networks, Pattern recognition BibRef

Yu, Y.[Yankun], Liu, H.[Huan], Fu, M.[Minghan], Chen, J.[Jun], Wang, X.[Xiyao], Wang, K.[Keyan],
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning,
NTIRE21(193-202)
IEEE DOI 2109
Training, Deep learning, Image color analysis, Neural networks, Transfer learning, Fitting BibRef

Ju, M.Y.[Ming-Ye], Chen, C.H.[Chu-Heng], Liu, J.P.[Ju-Ping], Cheng, K.[Kai], Zhang, D.Y.[Deng-Yin],
VRHI: Visibility Restoration for Hazy Images Using a Haze Density Model,
UG21(897-904)
IEEE DOI 2109
Training, Image color analysis, Atmospheric modeling, Refining, Scattering, Predictive models, Distortion BibRef

Laha, S.[Sumit], Sharma, A.[Ankit], Hu, S.N.[Sheng-Nan], Foroosh, H.[Hassan],
Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets,
ICPR21(5384-5390)
IEEE DOI 2105
Measurement, Image color analysis, Image edge detection, Scattering, Feature extraction, Image restoration, Data mining, Image fusion BibRef

Zheng, S.Y.[Shun-Yuan], Sun, J.[Jiamin], Liu, Q.L.[Qing-Lin], Qi, Y.K.[Yuan-Kai], Zhang, S.P.[Sheng-Ping],
Overwater Image Dehazing via Cycle-consistent Generative Adversarial Network,
ACCV20(II:251-267).
Springer DOI 2103
BibRef

Zhang, Z.X.[Zheng-Xi], Zhao, L.[Liang], Liu, Y.[Yunan], Zhang, S.S.[Shan-Shan], Yang, J.[Jian],
Unified Density-aware Image Dehazing and Object Detection in Real-world Hazy Scenes,
ACCV20(IV:119-135).
Springer DOI 2103
BibRef

Dudhane, A., Biradar, K.M., Patil, P.W., Hambarde, P., Murala, S.,
Varicolored Image De-Hazing,
CVPR20(4563-4572)
IEEE DOI 2008
Image color analysis, Atmospheric modeling, Image restoration, Meteorology, Scattering, Feature extraction, Generators BibRef

Mehta, A., Sinha, H., Narang, P., Mandal, M.,
HIDeGan: A Hyperspectral-guided Image Dehazing GAN,
VAS20(846-856)
IEEE DOI 2008
Image reconstruction, Hyperspectral imaging, Atmospheric modeling, Image color analysis, Skeleton, Generators BibRef

Liu, J., Wu, H., Xie, Y., Qu, Y., Ma, L.,
Trident Dehazing Network,
NTIRE20(1732-1741)
IEEE DOI 2008
Image reconstruction, Frequency-domain analysis, Feature extraction, Training, Atmospheric modeling, Convolution BibRef

Yu, M., Cherukuri, V., Guo, T., Monga, V.,
Ensemble Dehazing Networks for Non-homogeneous Haze,
NTIRE20(1832-1841)
IEEE DOI 2008
Decoding, Task analysis, Inverse problems, Machine learning, Training, Measurement BibRef

Metwaly, K., Li, X., Guo, T., Monga, V.,
NonLocal Channel Attention for NonHomogeneous Image Dehazing,
NTIRE20(1842-1851)
IEEE DOI 2008
Decoding, Feature extraction, Estimation, Mathematical model, Machine learning, Measurement BibRef

Wu, H., Liu, J., Xie, Y., Qu, Y., Ma, L.,
Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing,
NTIRE20(1975-1983)
IEEE DOI 2008
Task analysis, Training, Knowledge engineering, Convolution, Knowledge transfer, Image color analysis, Atmospheric modeling BibRef

Das, S.D., Dutta, S.,
Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing,
NTIRE20(1994-2001)
IEEE DOI 2008
Decoding, Atmospheric modeling, Machine learning, Scattering, Image reconstruction, Runtime, Feature extraction BibRef

Zhang, S., Wu, Y., Zhao, Y., Cheng, Z., Ren, W.,
Color-Constrained Dehazing Model,
UG20(3799-3807)
IEEE DOI 2008
Image color analysis, Atmospheric modeling, Colored noise, Scattering, Distortion, Smoothing methods, Attenuation BibRef

Yan, Y., Zhang, S., Ju, M., Ren, W., Wang, R., Guo, Y.,
A Point Light Source Interference Removal Method for Image Dehazing,
UG20(3817-3825)
IEEE DOI 2008
Light sources, Atmospheric modeling, Image color analysis, Estimation, Gaussian distribution, Scattering, Attenuation BibRef

Zhang, Y., Luo, L.Y., Zhao, H.J., Qiu, R.D., Ying, Y.S.,
Image Dehazing Based on Multispectral Polarization Imaging Method In Different Detection Modes,
ISPRS20(B1:615-620).
DOI Link 2012
BibRef

Lee, Y.W., Wong, L.K., See, J.,
Image Dehazing With Contextualized Attentive U-NET,
ICIP20(1068-1072)
IEEE DOI 2011
Convolution, Training, Atmospheric modeling, Visualization, Feature extraction, Convolutional neural networks, dilated convolution BibRef

Jin, Y., Gao, G., Liu, Q., Wang, Y.,
Unsupervised Conditional Disentangle Network For Image Dehazing,
ICIP20(963-967)
IEEE DOI 2011
Atmospheric modeling, Training, Generators, Adaptation models, Context modeling, GAN BibRef

Dong, J.X.[Jiang-Xin], Pan, J.S.[Jin-Shan],
Physics-based Feature Dehazing Networks,
ECCV20(XXX: 188-204).
Springer DOI 2010
BibRef

El Khoury, J.[Jessica], Thomas, J.B.[Jean-Baptiste], Mansouri, A.[Alamin],
A Spectral Hazy Image Database,
ICISP20(44-53).
Springer DOI 2009
BibRef

Ancuti, C.O.[Codruta O.], Ancuti, C.[Cosmin], Vasluianu, F.A.[Florin-Alexandru], Timofte, R.[Radu], Fu, M.[Minghan], Liu, H.[Huan], Yu, Y.[Yankun], Chen, J.[Jun], Wang, K.[Keyan], Chang, J.[Jerome], Wang, X.[Xiyao], Liu, J.[Jing], Xu, Y.[Yi], Zhang, X.J.[Xin-Jian], Zhao, M.[Minyi], Zhou, S.G.[Shui-Geng], Chen, T.Y.[Tian-Yi], Fu, J.H.[Jia-Hui], Jiang, W.T.[Wen-Tao], Gao, C.[Chen], Liu, S.[Si], Wang, Y.D.[Yu-Dong], Guo, J.C.[Ji-Chang], Li, C.Y.[Chong-Yi], Yan, Q.[Qixin], Zheng, S.[Sida], Zamir, S.W.[Syed Waqas], Arora, A.[Aditya], Dudhane, A.[Akshay], Khan, S.[Salman], Hayat, M.[Munawar], Khan, F.S.[Fahad Shahbaz], Shao, L.[Ling], Zhang, H.C.[Hai-Chuan], Guo, T.[Tiantong], Monga, V.[Vishal], Yang, W.J.[Wen-Jin], Lin, J.[Jin], Luo, X.T.[Xiao-Tong], Huang, G.[Guowen], Chen, S.[Shuxin], Qu, Y.Y.[Yan-Yun], Xu, K.[Kele], Yang, L.[Lehan], Sun, P.L.[Peng-Liang], Niu, X.T.[Xue-Tong], Zheng, J.J.[Jun-Jun], Ruan, X.T.[Xiao-Tong], Wang, Y.F.[Yun-Feng], Yang, J.[Jiang], Luo, Z.P.[Zhi-Peng], Wang, S.[Sai], Xu, Z.Y.[Zhen-Yu], Cao, X.C.[Xiao-Chun], Luo, J.[Jun], Zheng, Z.R.[Zhuo-Ran], Ren, W.Q.[Wen-Qi], Wang, T.[Tao], Chen, Y.Q.[Yi-Qun], Leng, C.[Cong], Li, C.H.[Cheng-Hua], Cheng, J.[Jian], Sung, C.S.[Chang-Sung], Chen, J.C.[Jun-Cheng], Jo, E.[Eunsung], Sim, J.Y.[Jae-Young], Geethu, M.M., Akhil, K.A., Sreeni, K.G., Jeena, R.S., Zacharias, J.[Joseph], Manu, C.M.[Chippy M], Huang, Z.X.[Ze-Xi], Zhang, B.F.[Bao-Feng], Zhang, Y.W.[Yi-Wen], Li, J.D.[Jin-Dong], Chen, M.[Mianjie], Xiao, Q.[Quan], Su, Q.C.[Qing-Chao], Han, L.H.[Li-Hua], Huang, Y.T.[Yan-Ting], Prajapati, K.[Kalpesh], Chudasama, V.[Vishal], Patel, H.[Heena], Sarvaiya, A.[Anjali], Upla, K.[Kishor], Raja, K.[Kiran], Ramachandra, R.[Raghavendra], Busch, C.[Christoph], Jing, H.Y.[Hong-Yuan], Huang, Z.L.[Zi-Long], Fu, Y.[Yiran], Wu, H.Q.[Hao-Qiang], Zha, Q.X.[Quan-Xing], Zhu, Z.W.[Zhi-Wei], Lv, H.[Hejun],
NTIRE 2021 NonHomogeneous Dehazing Challenge Report,
NTIRE21(627-646)
IEEE DOI 2109
Correlation, Architecture, Pattern recognition, Testing BibRef

Ancuti, C.O.[Codruta O.], Ancuti, C.[Cosmin], Vasluianu, F.A.[Florin-Alexandru], Timofte, R.[Radu], Liu, J.[Jing], Wu, H.Y.[Hai-Yan], Xie, Y.[Yuan], Qu, Y.Y.[Yan-Yun], Ma, L.Z.[Li-Zhuang], Huang, Z.L.[Zi-Ling], Deng, Q.[Qili], Chao, J.C.[Ju-Chin], Yang, T.S.[Tsung-Shan], Chen, P.W.[Peng-Wen], Hsu, P.M.[Po-Min], Liao, T.Y.[Tzu-Yi], Sun, C.E.[Chung-En], Wu, P.Y.[Pei-Yuan], Do, J.[Jeonghyeok], Park, J.M.[Jong-Min], Kim, M.C.[Mun-Churl], Metwaly, K.[Kareem], Li, X.L.[Xue-Lu], Guo, T.T.[Tian-Tong], Monga, V.[Vishal], Yu, M.Z.[Ming-Zhao], Cherukuri, V.[Venkateswararao], Chuang, S.Y.[Shiue-Yuan], Lin, T.N.[Tsung-Nan], Lee, D.[David], Chang, J.[Jerome], Wang, Z.H.[Zhan-Han], Chang, Y.B.[Yu-Bang], Lin, C.H.[Chang-Hong], Dong, Y.[Yu], Zhou, H.Y.[Hong-Yu], Kong, X.Z.[Xiang-Zhen], Das, S.D.[Sourya Dipta], Dutta, S.[Saikat], Zhao, X.[Xuan], Ouyang, B.[Bing], Estrada, D.[Dennis], Wang, M.Q.[Mei-Qi], Su, T.Q.[Tian-Qi], Chen, S.[Siyi], Sun, B.Y.[Bang-Yong], Whannou de Dravo, V.[Vincent], Yu, Z.[Zhe], Narang, P.[Pratik], Mehra, A.[Aryan], Raghunath, N.[Navaneeth], Mandal, M.[Murari],
NTIRE 2020 Challenge on NonHomogeneous Dehazing,
NTIRE20(2029-2044)
IEEE DOI 2008
Cameras, Image restoration, Image resolution, Benchmark testing, Image color analysis, Runtime, Sun BibRef

Kumar, P., Priyankar, S., Sur, J.A.,
Scale-aware Conditional Generative Adversarial Network for Image Dehazing,
WACV20(2344-2354)
IEEE DOI 2006
Image color analysis, Kernel, Task analysis, Laplace equations, Training, Generative adversarial networks, Cost function BibRef

Li, Y., Miao, Q., Ouyang, W., Ma, Z., Fang, H., Dong, C., Quan, Y.,
LAP-Net: Level-Aware Progressive Network for Image Dehazing,
ICCV19(3275-3284)
IEEE DOI 2004
image colour analysis, image denoising, image enhancement, image restoration, learning (artificial intelligence), Fuses BibRef

Liu, Y., Pan, J., Ren, J., Su, Z.,
Learning Deep Priors for Image Dehazing,
ICCV19(2492-2500)
IEEE DOI 2004
gradient methods, image colour analysis, image denoising, image enhancement, image restoration, iterative methods, Machine learning BibRef

Gandelsman, Y.[Yosef], Shocher, A.[Assaf], Irani, M.[Michal],
'Double-DIP': Unsupervised Image Decomposition via Coupled Deep-Image-Priors,
CVPR19(11018-11027).
IEEE DOI 2002
Decompose image into 2 layers, e.g. clear image and haze. BibRef

Qu, Y.Y.[Yan-Yun], Chen, Y.Z.[Yi-Zi], Huang, J.Y.[Jing-Ying], Xie, Y.[Yuan],
Enhanced Pix2pix Dehazing Network,
CVPR19(8152-8160).
IEEE DOI 2002
BibRef

Shu, Q., Wu, C., Xiao, Z., Liu, R.W.,
Variational Regularized Transmission Refinement for Image Dehazing,
ICIP19(2781-2785)
IEEE DOI 1910
Dehazing, image restoration, dark channel prior, total variation, alternating direction algorithm BibRef

Mei, K.F.[Kang-Fu], Jiang, A.[Aiwen], Li, J.C.[Jun-Cheng], Wang, M.W.[Ming-Wen],
Progressive Feature Fusion Network for Realistic Image Dehazing,
ACCV18(I:203-215).
Springer DOI 1906
BibRef

Maeda, K.[Koushirou], Hirai, K.[Keita], Horiuchi, T.[Takahiko],
Haze Transfer Between Images Based on Dark Channel Prior,
CCIW19(221-232).
Springer DOI 1905
BibRef

Vazquez-Corral, J.[Javier], Finlayson, G.D.[Graham D.], Bertalmío, M.[Marcelo],
Physically Plausible Dehazing for Non-physical Dehazing Algorithms,
CCIW19(233-244).
Springer DOI 1905
BibRef

Chen, D., He, M., Fan, Q., Liao, J., Zhang, L., Hou, D., Yuan, L., Hua, G.,
Gated Context Aggregation Network for Image Dehazing and Deraining,
WACV19(1375-1383)
IEEE DOI 1904
image denoising, image restoration, handcrafted image, haze-free image, smoothed dilation technique, Image restoration BibRef

Galdran, A., Bria, A., Alvarez-Gila, A., Vazquez-Corral, J., Bertalmío, M.,
On the Duality Between Retinex and Image Dehazing,
CVPR18(8212-8221)
IEEE DOI 1812
Image color analysis, Task analysis, Atmospheric modeling, Computational modeling, Lighting BibRef

Zhang, H., Patel, V.M.,
Densely Connected Pyramid Dehazing Network,
CVPR18(3194-3203)
IEEE DOI 1812
Atmospheric modeling, Estimation, Degradation, Generative adversarial networks, Optimization, Image edge detection BibRef

Ancuti, C.[Cosmin], Ancuti, C.O.[Codruta O.], Timofte, R.[Radu], Van Gool, L.J., Zhang, L., Yang, M.,
NTIRE 2018 Challenge on Image Dehazing: Methods and Results,
Restoration18(1004-100410)
IEEE DOI 1812
Image color analysis, Cameras, Image restoration, Lighting, Generators, Meters, Manuals
See also NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. BibRef

Ancuti, C.O., Ancuti, C., Timofte, R.,
NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images,
NTIRE20(1798-1805)
IEEE DOI 2008
Image color analysis, Optical imaging, Cameras, Generators, Atmospheric modeling, Benchmark testing BibRef

Ancuti, C.O.[Codruta O.], Ancuti, C.[Cosmin], Sbert, M., Timofte, R.[Radu],
Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images,
ICIP19(1014-1018)
IEEE DOI 1910
BibRef

Ancuti, C.O.[Codruta O.], Ancuti, C.[Cosmin], Timofte, R.[Radu], de Vleeschouwer, C.[Christophe],
O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images,
Restoration18(867-8678)
IEEE DOI 1812
BibRef
And: A2, A1, A3, A4:
I-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Indoor Images,
ACIVS18(620-631).
Springer DOI 1810
Atmospheric modeling, Image color analysis, Cameras, Lighting, Measurement, Databases, Optical imaging BibRef

Pei, Y.T.[Yan-Ting], Huang, Y.P.[Ya-Ping], Zou, Q.[Qi], Lu, Y.H.[Yu-Hang], Wang, S.[Song],
Does Haze Removal Help CNN-Based Image Classification?,
ECCV18(X: 697-712).
Springer DOI 1810
BibRef

Chen, W., Yuan, S., Tsai, G., Wang, H., Kuo, S.,
Color Channel-Based Smoke Removal Algorithm Using Machine Learning for Static Images,
ICIP18(2855-2859)
IEEE DOI 1809
Feature extraction, Image color analysis, Machine learning algorithms, Atmospheric modeling, Static Image BibRef

Kim, G., Ha, S., Kwon, J.,
Adaptive Patch Based Convolutional Neural Network for Robust Dehazing,
ICIP18(2845-2849)
IEEE DOI 1809
Atmospheric modeling, Machine learning, Adaptive systems, Estimation, Training, Convolutional neural networks, Robustness, Quad-tree Decomposition BibRef

Ancuti, C.O., Ancuti, C., de Vleeschouwer, C.,
Effective Local Airlight Estimation for Image Dehazing,
ICIP18(2850-2854)
IEEE DOI 1809
Atmospheric modeling, Image color analysis, Estimation, Computational modeling, Channel estimation, Integrated optics, hazy BibRef

Zhang, S.[Siyu], Li, C.[Congli], Xue, S.[Song],
Fast Haze Removal of UAV Images Based on Dark Channel Prior,
PSIVTWS17(254-267).
Springer DOI 1806
BibRef

Li, Y.F.[Yu-Fei], Wang, K.Y.[Ke-Yan], Xu, N.[Ning], Li, Y.S.[Yun-Song],
Quantitative evaluation for dehazing algorithms on synthetic outdoor hazy dataset,
VCIP17(1-4)
IEEE DOI 1804
image enhancement, image restoration, depth estimation method, depth maps, ground truth reference images, sky segmentation BibRef

Lin, K.E., Shih, K.T., Chen, H.,
Enhancing the perception of a hazy visual world using a see-through head-mounted device,
ICIP17(4397-4401)
IEEE DOI 1803
Atmosphere, Indexes, Integrated circuits, Optics, Pattern analysis, Scattering, See-through head-mounted display, just-noticeable difference BibRef

Li, B., Peng, X., Wang, Z., Xu, J., Feng, D.,
AOD-Net: All-in-One Dehazing Network,
ICCV17(4780-4788)
IEEE DOI 1802
image denoising, image enhancement, neural nets, object detection, AOD-Net, Faster R-CNN, PSNR, SSIM, all-in-one dehazing network, Visualization BibRef

Liu, S.L.[Shi-Long], Wu, H.K.[Hong-Kun], Li, R.W.[Ruo-Wei], Rahman, M.A.[M. Arifur], He, X.[Xuan], Liu, S.C.[San-Chi], Kwok, N.M.[Ngai Ming],
Image De-hazing Based on Polynomial Estimation and Steepest Descent Concept,
ICVISP17(63-70)
IEEE DOI 1712
Atmospheric modeling, Attenuation, Channel estimation, Digital images, Distortion, Estimation, Image color analysis, steepest descent 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

Jin, X., Wang, X., Xu, X., Yi, C.T.[Cheng-Tao], Yang, C.Q.[Chang-Qing],
Tensor-based weighted least square decomposition haze removal algorithm,
ICIVC17(1097-1101)
IEEE DOI 1708
Image restoration, Robustness, Smoothing methods, image dehazing, nonlinear structure tensor, weighted, least, square, decomposition BibRef

Santra, S., Chanda, B.,
Day/night unconstrained image dehazing,
ICPR16(1406-1411)
IEEE DOI 1705
Aerosols, Atmospheric modeling, Computational modeling, Image color analysis, Imaging, Mathematical model, Observers, daytime, image dehazing, night-time BibRef

Chen, C.[Chen], Do, M.N.[Minh N.], Wang, J.[Jue],
Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization,
ECCV16(II: 576-591).
Springer DOI 1611
BibRef

Ancuti, C., Ancuti, C.O., de Vleeschouwer, C.,
D-HAZY: A dataset to evaluate quantitatively dehazing algorithms,
ICIP16(2226-2230)
IEEE DOI 1610
Atmospheric modeling BibRef

Park, J., Kim, K., Lee, S., Won, C.S., Jung, S.W.,
Text-aware image dehazing using stroke width transform,
ICIP16(2231-2235)
IEEE DOI 1610
Channel estimation BibRef

Han, X.X.[Xiao-Xu], Feng, H.W.[Hong-Wei], Bu, Q.R.[Qi-Rong], Feng, J.[Jun], Liu, X.N.[Xiao-Ning],
Image dehazing base on two-peak channel prior,
ICIP16(2236-2240)
IEEE DOI 1610
dehazing BibRef

Wang, W., Yuan, X., Wu, X., Liu, Y., Ghanbarzadeh, S.,
An efficient method for image dehazing,
ICIP16(2241-2245)
IEEE DOI 1610
Atmospheric modeling BibRef

He, J., Zhang, C., Yang, R., Zhu, K.,
Convex optimization for fast image dehazing,
ICIP16(2246-2250)
IEEE DOI 1610
Atmospheric modeling BibRef

Bhattacharya, S., Gupta, S., Venkatesh, K.S.,
Dehazing of color image using stochastic enhancement,
ICIP16(2251-2255)
IEEE DOI 1610
Atmospheric modeling BibRef

Ancuti, C., Ancuti, C.O., de Vleeschouwer, C., Bovik, A.C.,
Night-time dehazing by fusion,
ICIP16(2256-2260)
IEEE DOI 1610
Atmospheric modeling BibRef

El Khoury, J.[Jessica], Thomas, J.B.[Jean-Baptiste], Mansouri, A.[Alamin],
A Color Image Database for Haze Model and Dehazing Methods Evaluation,
ICISP16(109-117).
WWW Link. 1606
BibRef

Wan, Y., Chen, Q.,
Joint image dehazing and contrast enhancement using the HSV color space,
VCIP15(1-4)
IEEE DOI 1605
Channel estimation BibRef

Shi, W.Z.[Wu-Zhen], Gao, X.W.[Xin-Wei], Chen, B.Q.[Bo-Qi], Jiang, F.[Feng], Zhao, D.B.[De-Bin],
Reference image based method of region of interest enhancement for haze image,
ICIP15(735-739)
IEEE DOI 1512
Region of interest, dark channel prior, dehazing, image enhancement BibRef

Shen, Y.X.[Yu-Xiang], Wu, X.L.[Xiao-Lin], Deng, X.W.[Xiao-Wei],
Analysis on spectral effects of dark-channel prior for haze removal,
ICIP15(2945-2949)
IEEE DOI 1512
HSI color space BibRef

Zhao, L.Y.[Ling-Yun], Hansard, M.[Miles], Cavallaro, A.[Andrea],
Pop-up Modelling of Hazy Scenes,
CIAP15(I:306-318).
Springer DOI 1511
Depth from dehazing. 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

He, J.X.[Jia-Xi], Zhang, C.[Cishen], Baqee, I.A.[Ifat-Al],
Image Dehazing Using Regularized Optimization,
ISVC14(I: 87-96).
Springer DOI 1501
BibRef

Arigela, S.[Saibabu], Asari, V.K.[Vijayan K.],
Enhancement of Hazy Color Images Using a Self-Tunable Transformation Function,
ISVC14(II: 578-587).
Springer DOI 1501
BibRef

Tang, K.[Ketan], Yang, J.C.[Jian-Chao], Wang, J.[Jue],
Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing,
CVPR14(2995-3002)
IEEE DOI 1409
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

Joshi, N., Cohen, M.F.,
Seeing Mt. Rainier: Lucky imaging for multi-image denoising, sharpening, and haze removal,
ICCP10(1-8).
IEEE DOI 1208
BibRef

Yu, X.L.[Xiao-Liang], Xiao, C.B.[Chuang-Bai], Deng, M.[Mike], Peng, L.[Li],
A Classification Algorithm to Distinguish Image as Haze or Non-haze,
ICIG11(286-289).
IEEE DOI 1109
BibRef

Feng, C.[Chen], Zhuo, S.J.[Shao-Jie], Zhang, X.P.[Xiao-Peng], Shen, L.[Liang], Susstrunk, S.[Sabine],
Near-infrared guided color image dehazing,
ICIP13(2363-2367)
IEEE DOI 1402
Airlight color, Detail transfer, Image dehazing, NIR, Optimization, RGB BibRef

Schaul, L.[Lex], Fredembach, C.[Clement], Susstrunk, S.[Sabine],
Color image dehazing using the near-infrared,
ICIP09(1629-1632).
IEEE DOI 0911
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 .