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Atmospheric modeling
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JVCIR(25), No. 2, 2014, pp. 445-453.
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Dehaze
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Makarau, A.,
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1407
geophysical image processing
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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.[Liqian],
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IET-CV(9), No. 6, 2015, pp. 903-913.
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adaptive filters
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JIVP(2016), No. 1, 2016, pp. 4.
DOI Link
1601
BibRef
Fan, X.[Xin],
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1602
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Gao, R.J.[Ren-Jie],
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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.[Yiyun],
Zhou, Y.G.[Yang-Gang],
Wang, X.[Xun],
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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
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Seeing through smoke, dust, clouds, or other obscurants is the focus
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He, L.,
Zhao, J.,
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IP(26), No. 3, March 2017, pp. 1063-1075.
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1703
image denoising
BibRef
Wang, W.,
Yuan, X.,
Wu, X.,
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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
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Jang, D.W.[Dong-Won],
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IET-IPR(11), No. 8, August 2017, pp. 587-594.
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1708
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Park, R.H.[Rae-Hong],
Color fringe correction based on image fusion,
ICIP14(1817-1821)
IEEE DOI
1502
Adaptive optics
BibRef
Yang, J.[Jiachen],
Jiang, B.[Bin],
Lv, Z.[Zhihan],
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A real-time image dehazing method considering dark channel and
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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],
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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
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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],
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Fast example searching for input-adaptive data-driven dehazing with
Gaussian process regression,
VC(35), No. 4, April 2019, pp. 565-577.
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1906
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Haze removal for unmanned aerial vehicle aerial video based on
spatial-temporal coherence optimisation,
IET-IPR(12), No. 1, January 2018, pp. 88-97.
DOI Link
1712
BibRef
Singh, D.[Dilbag],
Kumar, V.[Vijay],
Dehazing of remote sensing images using fourth-order partial
differential equations based trilateral filter,
IET-CV(12), No. 2, March 2018, pp. 208-219.
DOI Link
1804
BibRef
Qin, K.[Kai],
Wang, L.[Luyao],
Xu, J.[Jian],
Letu, H.[Husi],
Zhang, K.[Kefei],
Li, D.[Ding],
Zou, J.H.[Jia-Heng],
Fan, W.Z.[Wen-Zhi],
Haze Optical Properties from Long-Term Ground-Based Remote Sensing
over Beijing and Xuzhou, China,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
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
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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
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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
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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
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Li, C.[Ce],
Zhao, X.Y.[Xin-Yu],
Zhang, Z.X.[Zhao-Xiang],
Du, S.Y.[Shao-Yi],
Generative adversarial dehaze mapping nets,
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Elsevier DOI
1902
GADMN, Haze-relevant features, Multiple-light scattering model, LMHPM
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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
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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
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VC(35), No. 5, May 2019, pp. 695-705.
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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, Computer architecture, 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
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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.],
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High-speed video haze removal algorithm for embedded systems,
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1908
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RealTimeIP(16), No. 5, October 2019, pp. 1887.
WWW Link.
1911
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Min, X.,
Zhai, G.,
Gu, K.,
Zhu, Y.,
Zhou, J.,
Guo, G.,
Yang, X.,
Guan, X.,
Zhang, W.,
Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy
Images,
MultMed(21), No. 9, September 2019, pp. 2319-2333.
IEEE DOI
1909
Atmospheric modeling, Image color analysis,
Atmospheric measurements, Databases, Scattering,
regular/aerial image
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
Guo, Q.,
Hu, H.,
Li, B.,
Haze and Thin Cloud Removal Using Elliptical Boundary Prior for
Remote Sensing Image,
GeoRS(57), No. 11, November 2019, pp. 9124-9137.
IEEE DOI
1911
Remote sensing, Sensors, Correlation, Cloud computing, Estimation,
Clouds, Earth, Elliptical boundary, haze thickness prior, visible remote sensing image dehazing
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.
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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
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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
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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
BibRef
Peng, Y.,
Lu, Z.,
Cheng, F.,
Zheng, Y.,
Huang, S.,
Image Haze Removal Using Airlight White Correction, Local Light
Filter, and Aerial Perspective Prior,
CirSysVideo(30), No. 5, May 2020, pp. 1385-1395.
IEEE DOI
2005
Image color analysis, Optical filters, Optical distortion,
Optical imaging, Atmospheric modeling, Estimation, Adaptive optics,
aerial perspective prior
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.[Fazhi],
Ren, W.[Wenqi],
Photo-realistic dehazing via contextual generative adversarial networks,
MVA(31), No. 5, July 2020, pp. Article33.
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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.[Baojun],
Yang, C.[Chunfang],
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
Dong, H.,
Pan, J.,
Xiang, L.,
Hu, Z.,
Zhang, X.,
Wang, F.,
Yang, M.,
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
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
Conferences, Computer vision, Pattern recognition
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
Pang, Y.,
Nie, J.,
Xie, J.,
Han, J.,
Li, X.,
BidNet: Binocular Image Dehazing Without Explicit Disparity
Estimation,
CVPR20(5930-5939)
IEEE DOI
2008
Estimation, Atmospheric modeling, Correlation, Machine learning,
Task analysis, Scattering
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, Computer vision, 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, 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
Shen, H.,
Zhang, C.,
Li, H.,
Yuan, Q.,
Zhang, L.,
A Spatial-Spectral Adaptive Haze Removal Method for Visible Remote
Sensing Images,
GeoRS(58), No. 9, September 2020, pp. 6168-6180.
IEEE DOI
2008
Atmospheric modeling, Remote sensing, Scattering, Distortion,
Indexes, Image color analysis, Bright pixel index (BPI),
spatial-spectral adaptive
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.[Yunsong],
Liu, K.[Kai],
Huang, B.[Bormin],
Accelerating Haze Removal Algorithm Using CUDA,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Gautam, S.[Sidharth],
Gandhi, T.K.[Tapan Kumar],
Panigrahi, B.K.,
A Model-based dehazing scheme for unmanned aerial vehicle system
using radiance boundary constraint and graph model,
JVCIR(74), 2021, pp. 102993.
Elsevier DOI
2101
Remote sensing, Satellite imaging,
Unmanned aerial vehicle imaging, Image restoration,
Image dehazing
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],
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
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
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.[Yizi],
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,
Computer vision, 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, Conferences,
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, Computer vision, 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
Xiaoxu, H.,
Hongwei, F.,
Qirong, B.,
Jun, F.,
Xiaoning, L.,
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
Zhou, Y.[Yang],
Xu, Q.[Qing],
Xu, J.W.[Ji-Wei],
Jin, G.W.[Guo-Wang],
Optical Remote Sensing Image Optimized Dehazing Algorithm Based On Hot,
ISPRS16(B3: 797-803).
DOI Link
1610
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.[Boqi],
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.[Shaojie],
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
Single Image Dehazing .