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
He, K.M.[Kai-Ming],
Sun, J.[Jian],
Tang, X.[Xiaoou],
Single Image Haze Removal Using Dark Channel Prior,
PAMI(33), No. 12, December 2011, pp. 2341-2353.
IEEE DOI
1110
BibRef
Earlier:
CVPR09(1956-1963).
IEEE DOI
0906
Award, CVPR. Dark channel prior is statistics of haze-free image -- most local patches
contain some pixels with low intensity in one color channel.
Depth map is a byproduct of haze removal.
See also Guided Image Filtering.
BibRef
Gibson, K.B.,
Vo, D.T.,
Nguyen, T.Q.,
An Investigation of Dehazing Effects on Image and Video Coding,
IP(21), No. 2, February 2012, pp. 662-673.
IEEE DOI
1201
BibRef
Gibson, K.B.[Kristofor B.],
Nguyen, T.Q.[Truong Q.],
An Analysis of Single Image Defogging Methods using a Color Ellipsoid
Framework,
JIVP(2013), No. 1, 2013, pp. 37.
DOI Link
1307
BibRef
Earlier:
Hazy image modeling using color ellipsoids,
ICIP11(1861-1864).
IEEE DOI
1201
BibRef
Xiao, C.X.[Chun-Xia],
Gan, J.[Jiajia],
Fast image dehazing using guided joint bilateral filter,
VC(27), No. 6-8, June 2011, pp. 713-721.
WWW Link.
1205
BibRef
Kim, J.H.[Jin-Hwan],
Jang, W.D.[Won-Dong],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Optimized contrast enhancement for real-time image and video dehazing,
JVCIR(24), No. 3, April 2013, pp. 410-425.
Elsevier DOI
1303
Image dehazing; Video dehazing; Image restoration; Contrast
enhancement; Temporal coherence; Image enhancement; Optimized dehazing;
Atmospheric light estimation
BibRef
Lim, J.[Jaemoon],
Heo, M.[Minhyeok],
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
Contrast enhancement of noisy low-light images based on
structure-texture-noise decomposition,
JVCIR(45), No. 1, 2017, pp. 107-121.
Elsevier DOI
1704
Image enhancement
BibRef
Lim, J.[Jaemoon],
Kim, J.H.[Jin-Hwan],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Robust contrast enhancement of noisy low-light images:
Denoising-enhancement-completion,
ICIP15(4131-4135)
IEEE DOI
1512
Low-light image enhancement
BibRef
Kim, J.H.[Jin-Hwan],
Jang, W.D.[Won-Dong],
Park, Y.[Yongsup],
Lee, D.H.[Dong-Hahk],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Temporally x real-time video dehazing,
ICIP12(969-972).
IEEE DOI
1302
BibRef
Ancuti, C.O.[Codruta Orniana],
Ancuti, C.[Cosmin],
Single Image Dehazing by Multi-Scale Fusion,
IP(22), No. 8, 2013, pp. 3271-3282.
IEEE DOI Single image dehazing; enhancing; outdoor images
1307
See also Color Balance and Fusion for Underwater Image Enhancement.
BibRef
Ancuti, C.O.[Codruta Orniana],
Ancuti, C.[Cosmin],
Bekaert, P.[Philippe],
Single Image Restoration of Outdoor Scenes,
CAIP11(II: 245-252).
Springer DOI
1109
BibRef
Ancuti, C.O.[Codruta O.],
Ancuti, C.[Cosmin],
Hermans, C.[Chris],
Bekaert, P.[Philippe],
A Fast Semi-inverse Approach to Detect and Remove the Haze from a
Single Image,
ACCV10(II: 501-514).
Springer DOI
1011
BibRef
And:
Image and Video Decolorization by Fusion,
ACCV10(I: 79-92).
Springer DOI
1011
BibRef
Park, D.[Dubok],
Han, D.K.[David K.],
Jeon, C.[Changwon],
Ko, H.S.[Han-Seok],
Fast Single Image De-Hazing Using Characteristics of RGB Channel of
Foggy Image,
IEICE(E96-D), No. 8, August 2013, pp. 1793-1799.
WWW Link.
1308
BibRef
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
Fang, F.,
Li, F.,
Zeng, T.,
Single Image Dehazing and Denoising: A Fast Variational Approach,
SIIMS(7), No. 2, 2014, pp. 969-996.
DOI Link
1407
BibRef
Li, B.[Bo],
Wang, S.H.[Shu-Hang],
Zheng, J.[Jin],
Zheng, L.P.[Li-Ping],
Single image haze removal using content-adaptive dark channel and
post enhancement,
IET-CV(8), No. 2, April 2014, pp. 131-140.
DOI Link
1407
brightness
BibRef
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
Park, H.[Hanhoon],
An Improved Single Image Haze Removal Algorithm Using Image
Segmentation,
IEICE(E97-D), No. 9, September 2014, pp. 2554-2558.
WWW Link.
1410
BibRef
Huang, S.C.[Shih-Chia],
Chen, B.H.[Bo-Hao],
Wang, W.J.[Wei-Jheng],
Visibility Restoration of Single Hazy Images Captured in Real-World
Weather Conditions,
CirSysVideo(24), No. 10, October 2014, pp. 1814-1824.
IEEE DOI
1411
atmospheric optics
BibRef
Zhang, J.[Jun],
Hu, S.[Shiqiang],
A GPU-accelerated real-time single image de-hazing method using
pixel-level optimal de-hazing criterion,
RealTimeIP(9), No. 4, December 2014, pp. 661-672.
WWW Link.
1411
BibRef
Lai, Y.H.[Yi-Hsuan],
Chen, Y.L.[Yi-Lei],
Chiou, C.J.[Chuan-Ju],
Hsu, C.T.[Chiou-Ting],
Single-Image Dehazing via Optimal Transmission Map Under Scene Priors,
CirSysVideo(25), No. 1, January 2015, pp. 1-14.
IEEE DOI
1502
BibRef
Earlier: A1, A2, A4, Only:
Single image dehazing with optimal transmission map,
ICPR12(388-391).
WWW Link.
1302
image colour analysis
Or: Yi-Shuan?.
BibRef
Pan, X.,
Xie, F.,
Jiang, Z.,
Yin, J.,
Haze Removal for a Single Remote Sensing Image Based on Deformed Haze
Imaging Model,
SPLetters(22), No. 10, October 2015, pp. 1806-1810.
IEEE DOI
1506
Atmospheric modeling
BibRef
Zhu, Q.S.[Qing-Song],
Mai, J.M.[Jia-Ming],
Shao, L.[Ling],
A Fast Single Image Haze Removal Algorithm Using Color Attenuation
Prior,
IP(24), No. 11, November 2015, pp. 3522-3533.
IEEE DOI
1509
BibRef
Earlier:
Single Image Dehazing Using Color Attenuation Prior,
BMVC14(xx-yy).
HTML Version.
1410
image colour analysis
BibRef
Yu, T.[Teng],
Riaz, I.,
Piao, J.C.[Jing-Chun],
Shin, H.[Hyunchul],
Real-time single image dehazing using block-to-pixel interpolation
and adaptive dark channel prior,
IET-IPR(9), No. 9, 2015, pp. 725-734.
DOI Link
1509
Gaussian channels
BibRef
Riaz, I.[Irfan],
Yu, T.[Teng],
Rehman, Y.[Yawar],
Shin, H.C.[Hyun-Chul],
Single image dehazing via reliability guided fusion,
JVCIR(40, Part A), No. 1, 2016, pp. 85-97.
Elsevier DOI
1609
Dehaze
BibRef
Galdran, A.[Adrian],
Vazquez-Corral, J.[Javier],
Pardo, D.[David],
Bertalmío, M.[Marcelo],
Enhanced Variational Image Dehazing,
SIIMS(8), No. 3, 2015, pp. 1519-1546.
DOI Link
1511
BibRef
Earlier:
A Variational Framework for Single Image Dehazing,
CVPV14(259-270).
Springer DOI
1504
BibRef
Galdran, A.[Adrian],
Vazquez-Corral, J.[Javier],
Pardo, D.[David],
Bertalmío, M.[Marcelo],
Fusion-Based Variational Image Dehazing,
SPLetters(24), No. 2, February 2017, pp. 151-155.
IEEE DOI
1702
image enhancement
BibRef
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.[Liqian],
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
Li, Z.G.[Zheng-Guo],
Zheng, J.H.[Jing-Hong],
Edge-Preserving Decomposition-Based Single Image Haze Removal,
IP(24), No. 12, December 2015, pp. 5432-5441.
IEEE DOI
1512
image filtering
BibRef
Li, Z.G.[Zheng-Guo],
Zheng, J.H.[Jing-Hong],
Single Image De-Hazing Using Globally Guided Image Filtering,
IP(27), No. 1, January 2018, pp. 442-450.
IEEE DOI
1712
edge detection, image denoising, image filtering,
image restoration, smoothing methods, G-GIF,
structure transfer
BibRef
Wang, D.[Dan],
Zhu, J.[Jubo],
Fast smoothing technique with edge preservation for single image
dehazing,
IET-CV(9), No. 6, 2015, pp. 950-959.
DOI Link
1512
computational complexity
BibRef
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.[Renjie],
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
Li, W.J.,
Gu, B.,
Huang, J.T.,
Wang, S.Y.,
Wang, M.H.,
Single image visibility enhancement in gradient domain,
IET-IPR(6), No. 5, 2012, pp. 589-595.
DOI Link
1210
BibRef
Mi, Z.T.[Ze-Tian],
Zhou, H.[Huan],
Zheng, Y.J.[Yi-Jun],
Wang, M.H.[Ming-Hui],
Single image dehazing via multi-scale gradient domain contrast
enhancement,
IET-IP(10), No. 3, 2016, pp. 206-214.
DOI Link
1603
gradient methods
BibRef
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],
Ouyang, Y.[Yi],
Texture filtering based physically plausible image dehazing,
VC(32), No. 6-8, June 2016, pp. 911-920.
Springer DOI
1608
BibRef
Jha, D.K.,
Gupta, B.,
Lamba, S.S.,
l2-norm-based prior for haze-removal from single image,
IET-CV(10), No. 5, 2016, pp. 331-341.
DOI Link
1609
image restoration
BibRef
Cai, B.[Bolun],
Xu, X.M.[Xiang-Min],
Jia, K.[Kui],
Qing, C.M.[Chun-Mei],
Tao, D.C.[Da-Cheng],
DehazeNet: An End-to-End System for Single Image Haze Removal,
IP(25), No. 11, November 2016, pp. 5187-5198.
IEEE DOI
1610
convolution
BibRef
Yu, F.,
Qing, C.M.[Chun-Mei],
Xu, X.M.[Xiang-Min],
Cai, B.[Bolun],
Image and video dehazing using view-based cluster segmentation,
VCIP16(1-4)
IEEE DOI
1701
Atmospheric modeling
BibRef
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
Ning, X.[Xin],
Li, W.J.[Wei-Jun],
Liu, W.J.[Wen-Jie],
A Fast Single Image Haze Removal Method Based on Human Retina Property,
IEICE(E100-D), No. 1, January 2017, pp. 211-214.
WWW Link.
1701
BibRef
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
Cui, T.[Tong],
Tian, J.D.[Jian-Dong],
Wang, E.[Ende],
Tang, Y.D.[Yan-Dong],
Single image dehazing by latent region-segmentation based transmission
estimation and weighted L 1-norm regularisation,
IET-IPR(11), No. 2, February 2017, pp. 145-154.
DOI Link
1703
BibRef
Xie, C.H.[Cong-Hua],
Qiao, W.W.[Wei-Wei],
Liu, Z.[Zhe],
Ying, W.H.[Wen-Hao],
Single image dehazing using kernel regression model and dark channel
prior,
SIViP(11), No. 4, May 2017, pp. 705-712.
WWW Link.
1704
BibRef
Lee, Y.,
Hirakawa, K.,
Nguyen, T.Q.,
Joint Defogging and Demosaicking,
IP(26), No. 6, June 2017, pp. 3051-3063.
IEEE DOI
1705
Digital cameras, Image restoration, Image sensors, Pipelines,
Scattering, Defogging, dehazing, demosaicking,
digital camera processing pipeline, image restoration, image,
sensor, noise
BibRef
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
Liu, X.[Xin],
Zhang, H.[He],
Cheung, Y.M.[Yiu-Ming],
You, X.[Xinge],
Tang, Y.Y.[Yuan Yan],
Efficient Single Image Dehazing and Denoising:
An Efficient Multi-Scale Correlated Wavelet Approach,
CVIU(162), No. 1, 2017, pp. 23-33.
Elsevier DOI
1710
Image, dehazing
BibRef
Yang, J.[Jiachen],
Jiang, B.[Bin],
Lv, Z.[Zhihan],
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
Kaplan, N.H.,
Ayten, K.K.,
Dumlu, A.,
Single image dehazing based on multiscale product prior and application
to vision control,
SIViP(11), No. 8, November 2017, pp. 1389-1396.
WWW Link.
1710
BibRef
Ju, M.Y.[Ming-Ye],
Zhang, D.Y.[Deng-Yin],
Wang, X.M.[Xue-Mei],
Single image dehazing via an improved atmospheric scattering model,
VC(33), No. 12, December 2017, pp. 1613-1625.
WWW Link.
1710
BibRef
Ju, M.Y.[Ming-Ye],
Gu, Z.F.[Zhen-Fei],
Zhang, D.Y.[Deng-Yin],
Liu, J.[Jian],
Single Image Dehazing Using Invariance Principle,
IEICE(E100-D), No. 12, December 2017, pp. 3068-3072.
WWW Link.
1712
BibRef
Liu, Y.[Yun],
Chen, R.[Rui],
Shang, J.X.[Jin-Xia],
Wang, M.H.[Ming-Hui],
Single Image Haze Removal Using Structure-Aware Atmospheric Veil,
IEICE(E100-D), No. 11, November 2017, pp. 2729-2733.
WWW Link.
1711
BibRef
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
Bui, T.M.,
Kim, W.,
Single Image Dehazing Using Color Ellipsoid Prior,
IP(27), No. 2, February 2018, pp. 999-1009.
IEEE DOI
1712
Atmospheric modeling, Colored noise, Ellipsoids, Estimation,
Image color analysis, Robustness, Dehazing,
dark channel prior (DCP)
BibRef
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
Zhao, X.T.[Xin-Tao],
Ding, W.R.[Wen-Rui],
Liu, C.H.[Chun-Hui],
Li, H.G.[Hong-Guang],
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
Zhu, M.,
He, B.,
Wu, Q.,
Single Image Dehazing Based on Dark Channel Prior and Energy
Minimization,
SPLetters(25), No. 2, February 2018, pp. 174-178.
IEEE DOI
1802
image denoising, dark channel, energy function,
energy minimization, piecewise smoothness, single image dehazing,
single image dehazing
BibRef
Jeong, K.[Kyeongmin],
Choi, K.[Kwangyeon],
Kim, D.[Donghwan],
Song, B.C.[Byung Cheol],
Fast Fog Detection for De-Fogging of Road Driving Images,
IEICE(E101-D), No. 2, February 2018, pp. 473-480.
WWW Link.
1802
BibRef
Emberton, S.[Simon],
Chittka, L.[Lars],
Cavallaro, A.[Andrea],
Underwater image and video dehazing with pure haze region
segmentation,
CVIU(168), 2018, pp. 145-156.
Elsevier DOI
1804
Dehazing, Image processing, Segmentation, Underwater,
White balancing, Video processing
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
Gao, Y.[Yakun],
Chen, H.[Haiyan],
Li, H.B.[Hai-Bin],
Zhang, W.M.[Wen-Ming],
Single image dehazing using local linear fusion,
IET-IPR(12), No. 5, May 2018, pp. 637-643.
DOI Link
1804
BibRef
Khmag, A.[Asem],
Al-Haddad, S.A.R.,
Ramli, A.R.[Abd Rahman],
Kalantar, B.[Bahareh],
Single image dehazing using second-generation wavelet transforms and
the mean vector L2-norm,
VC(34), No. 5, May 2018, pp. 675-688.
WWW Link.
1804
BibRef
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
Wang, W.[Wei],
He, C.[Chuanjiang],
Xia, X.G.[Xiang-Gen],
A constrained total variation model for single image dehazing,
PR(80), 2018, pp. 196-209.
Elsevier DOI
1805
Dehazing, Total variation, Variational method, Gradient projection algorithm
BibRef
Zhang, L.[Libao],
Wang, S.[Shiyi],
Wang, X.[Xiaohan],
Saliency-based dark channel prior model for single image haze removal,
IET-IPR(12), No. 6, June 2018, pp. 1049-1055.
DOI Link
1805
BibRef
Zhang, L.,
Wang, X.,
She, C.,
Single image haze removal based on saliency detection and dark
channel prior,
ICIP17(4292-4296)
IEEE DOI
1803
Image restoration, dark channel prior, haze removal,
salient detection, transmission refinement
BibRef
Song, Y.F.[Ya-Fei],
Li, J.[Jia],
Wang, X.G.[Xiao-Gang],
Chen, X.W.[Xiao-Wu],
Single Image Dehazing Using Ranking Convolutional Neural Network,
MultMed(20), No. 6, June 2018, pp. 1548-1560.
IEEE DOI
1805
Atmosphere, Feature extraction, Image color analysis, Meteorology,
Neural networks, Predictive models, Single image dehazing,
ranking layer
BibRef
Wang, Z.[Zhi],
Hou, G.J.[Guo-Jia],
Pan, Z.K.[Zhen-Kuan],
Wang, G.D.[Guo-Dong],
Single image dehazing and denoising combining dark channel prior and
variational models,
IET-CV(12), No. 4, June 2018, pp. 393-402.
DOI Link
1805
BibRef
Kang, C.,
Kim, G.,
Single Image Haze Removal Method Using Conditional Random Fields,
SPLetters(25), No. 6, June 2018, pp. 818-822.
IEEE DOI
1806
image colour analysis, image enhancement, image restoration,
image segmentation, conditional random fields, depth information,
single image haze removal
BibRef
Yan, J.[Jichao],
Liang, X.G.[Xiang-Guo],
Lin, M.G.[Mou-Guang],
Su, Z.[Zhuo],
Shi, X.H.[Xiao-Hong],
Luo, X.N.[Xiao-Nan],
A hybrid features learning model for single image haze prediction,
SIViP(12), No. 5, July 2018, pp. 1001-1008.
Springer DOI
WWW Link.
1806
BibRef
Mutimbu, L.[Lawrence],
Robles-Kelly, A.[Antonio],
A factor graph evidence combining approach to image defogging,
PR(82), 2018, pp. 56-67.
Elsevier DOI
1806
Factor graphs, Evidence combining, Simplicial spanning tree,
Procrustes transformation, Maximum a-posteriori inference, Image defogging
BibRef
Ling, Z.,
Gong, J.,
Fan, G.,
Lu, X.,
Optimal Transmission Estimation via Fog Density Perception for
Efficient Single Image Defogging,
MultMed(20), No. 7, July 2018, pp. 1699-1711.
IEEE DOI
1806
Atmospheric modeling, Computational modeling, Degradation,
Image color analysis, Mathematical model, Meteorology, Scattering,
optimal transmission model
BibRef
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
Santra, S.,
Mondal, R.,
Chanda, B.,
Learning a Patch Quality Comparator for Single Image Dehazing,
IP(27), No. 9, September 2018, pp. 4598-4607.
IEEE DOI
1807
feedforward neural nets, fog, image restoration,
learning (artificial intelligence), light scattering,
visibility enhancement
BibRef
Mondal, R.,
Santra, S.,
Chanda, B.,
Image Dehazing by Joint Estimation of Transmittance and Airlight
Using Bi-Directional Consistency Loss Minimized FCN,
Restoration18(1033-10338)
IEEE DOI
1812
Mathematical model, Estimation, Image color analysis, Lighting,
Convolution, Imaging, Bidirectional control
BibRef
Ju, M.,
Ding, C.,
Zhang, D.,
Guo, Y.J.,
Gamma-Correction-Based Visibility Restoration for Single Hazy Images,
SPLetters(25), No. 7, July 2018, pp. 1084-1088.
IEEE DOI
1807
approximation theory, image restoration, GDM, benchmark images,
blocking artifact suppression,
maximum contrast
BibRef
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
Liu, Q.,
Gao, X.,
He, L.,
Lu, W.,
Single Image Dehazing With Depth-Aware Non-Local Total Variation
Regularization,
IP(27), No. 10, October 2018, pp. 5178-5191.
IEEE DOI
1808
Atmospheric modeling, Adaptation models, Imaging, Optimization,
Image color analysis, Transform coding, Image edge detection,
adaptive regularization
BibRef
Shi, L.,
Chen, B.,
Huang, S.,
Larin, A.O.,
Seredin, O.S.,
Kopylov, A.V.,
Kuo, S.,
Removing Haze Particles From Single Image via Exponential Inference
With Support Vector Data Description,
MultMed(20), No. 9, September 2018, pp. 2503-2512.
IEEE DOI
1809
image colour analysis, image enhancement, image restoration,
particle swarm optimisation, support vector data description,
underexposed effects
BibRef
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
Sakaridis, C.[Christos],
Dai, D.X.[Deng-Xin],
Van Gool, L.J.[Luc J.],
Semantic Foggy Scene Understanding with Synthetic Data,
IJCV(126), No. 9, September 2018, pp. 973-992.
Springer DOI
1809
Not just dehazing, actually understand the scene.
BibRef
Dai, D.X.[Deng-Xin],
Sakaridis, C.[Christos],
Hecker, S.[Simon],
Van Gool, L.J.[Luc J.],
Curriculum Model Adaptation with Synthetic and Real Data for Semantic
Foggy Scene Understanding,
IJCV(128), No. 5, May 2020, pp. 1182-1204.
Springer DOI
2005
BibRef
Earlier: A2, A1, A3, A4:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy
Scene Understanding,
ECCV18(XIII: 707-724).
Springer DOI
1810
BibRef
Wang, A.,
Wang, W.,
Liu, J.,
Gu, N.,
AIPNet: Image-to-Image Single Image Dehazing With Atmospheric
Illumination Prior,
IP(28), No. 1, January 2019, pp. 381-393.
IEEE DOI
1810
Atmospheric modeling, Scattering, Image restoration, Lighting,
Meteorology, Image color analysis, Wiener filters, Dehazing,
image restoration
BibRef
Li, B.,
Ren, W.,
Fu, D.,
Tao, D.,
Feng, D.,
Zeng, W.,
Wang, Z.,
Benchmarking Single-Image Dehazing and Beyond,
IP(28), No. 1, January 2019, pp. 492-505.
IEEE DOI
1810
Task analysis, Benchmark testing, Measurement,
Atmospheric modeling, Training, Electronic mail, Dehazing, detection,
evaluations
BibRef
Yang, M.,
Liu, J.,
Li, Z.,
Superpixel-Based Single Nighttime Image Haze Removal,
MultMed(20), No. 11, November 2018, pp. 3008-3018.
IEEE DOI
1810
Image color analysis, Atmospheric modeling, Microsoft Windows,
Mathematical model, Signal processing algorithms,
weighted guided image filtering
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
Shiau, Y.,
Kuo, Y.,
Chen, P.,
Hsu, F.,
VLSI Design of an Efficient Flicker-Free Video Defogging Method for
Real-Time Applications,
CirSysVideo(29), No. 1, January 2019, pp. 238-251.
IEEE DOI
1901
Streaming media, Algorithm design and analysis,
Real-time systems, Heuristic algorithms, Atmospheric modeling,
VLSI
BibRef
Wang, Y.[Yao],
Fu, F.F.[Fang-Fa],
Lai, F.C.[Feng-Chang],
Xu, W.Z.[Wei-Zhe],
Shi, J.J.[Jin-Jin],
Wang, J.X.[Jin-Xiang],
Haze removal algorithm based on single-images with chromatic
properties,
SP:IC(72), 2019, pp. 80-91.
Elsevier DOI
1902
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
An efficient haze removal algorithm using chromatic properties,
ICIP17(4267-4271)
IEEE DOI
1803
dehazing, ADAS, Image restoration, Chromatic properties.
Atmospheric modeling, Image color analysis, Image quality,
Meteorology, Roads, Scattering, ADAS, Dehazing,
chromatic properties
BibRef
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
Gao, Y.,
Hu, H.,
Li, B.,
Guo, Q.,
Pu, S.,
Detail Preserved Single Image Dehazing Algorithm Based on Airlight
Refinement,
MultMed(21), No. 2, February 2019, pp. 351-362.
IEEE DOI
1902
Scattering, Atmospheric modeling, Estimation, Image edge detection,
Image color analysis, Adaptation models, Convolution, Dehazing,
haze removal
BibRef
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
Zhao, D.[Dong],
Xu, L.[Long],
Yan, Y.H.[Yi-Hua],
Chen, J.[Jie],
Duan, L.Y.[Ling-Yu],
Multi-scale Optimal Fusion model for single image dehazing,
SP:IC(74), 2019, pp. 253-265.
Elsevier DOI
1904
Single image dehazing, Multi-scale dehazing,
Dark channel prior, Multi-scale Optimal Fusion
BibRef
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
Cardinal color fusion network for single image haze removal,
MVA(30), No. 2, March 2019, pp. 231-242.
WWW Link.
1904
BibRef
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
RYF-Net: Deep Fusion Network for Single Image Haze Removal,
IP(29), No. 1, 2020, pp. 628-640.
IEEE DOI
1910
computer vision, convolutional neural nets, feature extraction,
image colour analysis, image denoising, image enhancement,
CNN
BibRef
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
Hu, H.,
Guo, Q.,
Zheng, J.,
Wang, H.,
Li, B.,
Single Image Defogging Based on Illumination Decomposition for Visual
Maritime Surveillance,
IP(28), No. 6, June 2019, pp. 2882-2897.
IEEE DOI
1905
aerosols, brightness, fog, image colour analysis, image enhancement,
image restoration, image sensors, lighting, marine engineering,
atmospheric aerosol model
BibRef
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
Liu, Z.,
Xiao, B.,
Alrabeiah, M.,
Wang, K.,
Chen, J.,
Single Image Dehazing with a Generic Model-Agnostic Convolutional
Neural Network,
SPLetters(26), No. 6, June 2019, pp. 833-837.
IEEE DOI
1906
computer vision, convolutional neural nets, image denoising,
image enhancement, image restoration, single image dehazing,
residual learning
BibRef
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
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
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
Yang, X.,
Li, H.,
Fan, Y.,
Chen, R.,
Single Image Haze Removal via Region Detection Network,
MultMed(21), No. 10, October 2019, pp. 2545-2560.
IEEE DOI
1910
convolutional neural nets, feature extraction,
image colour analysis, image denoising, image enhancement,
detail enhancement
BibRef
Zhang, J.,
Tao, D.,
FAMED-Net: A Fast and Accurate Multi-Scale End-to-End Dehazing
Network,
IP(29), No. 1, 2020, pp. 72-84.
IEEE DOI
1910
computer vision, convolutional neural nets, image coding,
image restoration, single image dehazing, dehazing models, encoder,
deep neural network
BibRef
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.
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
Kim, S.E.,
Park, T.H.,
Eom, I.K.,
Fast Single Image Dehazing Using Saturation Based Transmission Map
Estimation,
IP(29), No. 1, 2020, pp. 1985-1998.
IEEE DOI
1912
Atmospheric modeling, Image color analysis, Scattering, Filtering,
Estimation, Training, Deep learning, Single image dehazing,
white balance
BibRef
Hodges, C.[Cameron],
Bennamoun, M.[Mohammed],
Rahmani, H.[Hossein],
Single image dehazing using deep neural networks,
PRL(128), 2019, pp. 70-77.
Elsevier DOI
1912
Deep learing, Siamese networks, Single image dehazing, Image dehazing
BibRef
Colores, S.S.[Sebastián Salazar],
Moya-Sánchez, E.U.[Eduardo Ulises],
Ramos-Arreguín, J.M.[Juan-Manuel],
Cabal-Yépez, E.[Eduardo],
Statistical multidirectional line dark channel for single-image
dehazing,
IET-IPR(13), No. 14, 12 December 2019, pp. 2877-2887.
DOI Link
1912
BibRef
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
Gu, Z.[Ziqi],
Zhan, Z.Q.[Zong-Qian],
Yuan, Q.Q.A.[Qiang-Qi-Ang],
Yan, L.[Li],
Single Remote Sensing Image Dehazing Using a Prior-Based Dense
Attentive Network,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
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
Wu, Q.,
Zhang, J.,
Ren, W.,
Zuo, W.,
Cao, X.,
Accurate Transmission Estimation for Removing Haze and Noise From a
Single Image,
IP(29), 2020, pp. 2583-2597.
IEEE DOI
2001
Noise reduction, Semantics, Noise measurement, Estimation,
Image segmentation, Noise level, Image edge detection,
semantic segmentation
BibRef
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
Golts, A.,
Freedman, D.,
Elad, M.,
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss,
IP(29), 2020, pp. 2692-2701.
IEEE DOI
2001
Energy functions, deep neural networks, unsupervised learning,
single image dehazing, dark channel prior
BibRef
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
Shin, J.,
Kim, M.,
Paik, J.,
Lee, S.,
Radiance-Reflectance Combined Optimization and Structure-Guided
L_0-Norm for Single Image Dehazing,
MultMed(22), No. 1, January 2020, pp. 30-44.
IEEE DOI
2001
Image color analysis, Atmospheric modeling, Histograms,
Image edge detection, Optimization, Estimation, Cameras, L _0-norm,
guided filtering
BibRef
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
Nnolim, U.A.[Uche A.],
Improved Single Image De-Hazing Via Sky Region Detection,
Classification and Illumination Refinement,
IJIG(19), No. 4 2019, pp. 1950021.
DOI Link
2001
BibRef
Raikwar, S.C.[Suresh Chandra],
Tapaswi, S.[Shashikala],
Tight lower bound on transmission for single image dehazing,
VC(36), No. 1, January 2020, pp. 191-209.
WWW Link.
2001
BibRef
Raikwar, S.C.[Suresh Chandra],
Tapaswi, S.[Shashikala],
Lower Bound on Transmission Using Non-Linear Bounding Function in
Single Image Dehazing,
IP(29), 2020, pp. 4832-4847.
IEEE DOI
2003
Image color analysis, Meteorology, Atmospheric modeling,
Estimation, Image edge detection, Scattering, Visualization,
noise removal
BibRef
Kim, D.[Donghee],
Park, M.S.[Myung-Sook],
Park, Y.J.[Young-Je],
Kim, W.[Wonkook],
Geostationary Ocean Color Imager (GOCI) Marine Fog Detection in
Combination with Himawari-8 Based on the Decision Tree,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Ren, W.Q.[Wen-Qi],
Pan, J.S.[Jin-Shan],
Zhang, H.[Hua],
Cao, X.C.[Xiao-Chun],
Yang, M.H.[Ming-Hsuan],
Single Image Dehazing via Multi-scale Convolutional Neural Networks
with Holistic Edges,
IJCV(128), No. 1, January 2020, pp. 240-259.
Springer DOI
2002
BibRef
Earlier: A1, A3, A2, A4, A5:
Plus A2
Liu, S.[Si],
Single Image Dehazing via Multi-Scale Convolutional Neural Networks,
ECCV16(II: 154-169).
Springer DOI
1611
BibRef
Berman, D.[Dana],
Treibitz, T.[Tali],
Avidan, S.[Shai],
Single Image Dehazing Using Haze-Lines,
PAMI(42), No. 3, March 2020, pp. 720-734.
IEEE DOI
2002
BibRef
Earlier:
Non-local Image Dehazing,
CVPR16(1674-1682)
IEEE DOI
1612
Image color analysis, Atmospheric modeling, Cameras,
Clustering algorithms, Estimation, Channel estimation,
haze removal
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
Yeh, C.,
Huang, C.,
Kang, L.,
Multi-Scale Deep Residual Learning-Based Single Image Haze Removal
via Image Decomposition,
IP(29), 2020, pp. 3153-3167.
IEEE DOI
2002
Haze removal, single image dehazing, deep learning,
deep residual learning, U-Net, convolutional neural networks,
image restoration
BibRef
Zhang, S.D.[Sheng-Dong],
He, F.Z.[Fa-Zhi],
Ren, W.[Wenqi],
Yao, J.[Jian],
Joint learning of image detail and transmission map for single image
dehazing,
VC(36), No. 2, February 2020, pp. 305-316.
WWW Link.
2002
BibRef
Li, C.,
Guo, C.,
Guo, J.,
Han, P.,
Fu, H.,
Cong, R.,
PDR-Net: Perception-Inspired Single Image Dehazing Network With
Refinement,
MultMed(22), No. 3, March 2020, pp. 704-716.
IEEE DOI
2003
Atmospheric modeling, Image color analysis, Visualization,
Training data, Loss measurement, Image reconstruction,
image refinement
BibRef
Gao, Y.[Yin],
Li, Q.M.[Qi-Ming],
Li, J.[Jun],
Single image dehazing via a dual-fusion method,
IVC(94), 2020, pp. 103868.
Elsevier DOI
2003
Image dehazing, Multi-region fusion, Exposure fusion,
New speckle reducing anisotropic diffusion model
BibRef
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
Yang, M.[Minmin],
Liu, J.[Jianchang],
Li, Z.[Zhengguo],
Tan, S.[Shubin],
Pre-processing for single image dehazing,
SP:IC(83), 2020, pp. 115777.
Elsevier DOI
2003
Single image haze removal, Weighted guided image filtering,
Pre-processing, Noise amplification, Color distortion
BibRef
Park, J.,
Han, D.K.,
Ko, H.,
Fusion of Heterogeneous Adversarial Networks for Single Image
Dehazing,
IP(29), 2020, pp. 4721-4732.
IEEE DOI
2003
Atmospheric modeling, Image color analysis, Training, Scattering,
Estimation, Gallium nitride, Generative adversarial networks,
fusion method
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
Lu, Z.,
Long, B.,
Yang, S.,
Saturation Based Iterative Approach for Single Image Dehazing,
SPLetters(27), 2020, pp. 665-669.
IEEE DOI
2005
Mathematical model, Brightness, Image color analysis,
Atmospheric modeling, Iterative methods, Image restoration,
saturation
BibRef
Hu, H.,
Zhang, H.,
Zhao, Z.,
Li, B.,
Zheng, J.,
Adaptive Single Image Dehazing Using Joint Local-Global Illumination
Adjustment,
MultMed(22), No. 6, June 2020, pp. 1485-1495.
IEEE DOI
2005
Lighting, Atmospheric modeling, Image color analysis, Estimation,
Scattering, Adaptation models, Image edge detection,
single image haze removal
BibRef
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.
WWW Link.
2006
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
Deng, Z.,
Zhu, L.,
Hu, X.,
Fu, C.,
Xu, X.,
Zhang, Q.,
Qin, J.,
Heng, P.,
Deep Multi-Model Fusion for Single-Image Dehazing,
ICCV19(2453-2462)
IEEE DOI
2004
convolutional neural nets, feature extraction,
image colour analysis, image enhancement, image fusion, Solid modeling
BibRef
Liu, X.,
Ma, Y.,
Shi, Z.,
Chen, J.,
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
Liu, C.G.[Chen-Guang],
Tao, L.[Li],
Kim, Y.T.[Yeong-Taeg],
VLW-NET: A Very Light-weight Convolutional Neural Network (CNN) for
Single Image Dehazing,
ACIVS20(433-442).
Springer DOI
2003
BibRef
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
Chen, W.T.[Wei-Ting],
Ding, J.J.[Jian-Jiun],
Kuo, S.Y.[Sy-Yen],
PMS-Net: Robust Haze Removal Based on Patch Map for Single Images,
CVPR19(11673-11681).
IEEE DOI
2002
BibRef
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
Madadikhaljan, M.,
Bahmanyar, R.,
Azimi, S.M.,
Reinartz, P.,
Sörgel, U.,
Single-Image Dehazing on Aerial Imagery Using Convolutional Neural
Networks,
SMPR19(687-692).
DOI Link
1912
BibRef
Chen, R.,
Lai, E.M.,
Convolutional Autoencoder For Single Image Dehazing,
ICIP19(4464-4468)
IEEE DOI
1910
Single image dehazing, autoencoder, convolutional neural network
BibRef
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
Chen, X.,
Lu, H.,
Cheng, K.,
Ma, Y.,
Zhou, Q.,
Zhao, Y.,
Sequentially Refined Spatial and Channel-Wise Feature Aggregation in
Encoder-Decoder Network for Single Image Dehazing,
ICIP19(2776-2780)
IEEE DOI
1910
single image dehazing, non-local operation, squeeze-and-excitation module
BibRef
Huang, L.,
Yin, J.,
Chen, B.,
Ye, S.,
Towards Unsupervised Single Image Dehazing With Deep Learning,
ICIP19(2741-2745)
IEEE DOI
1910
Image dehazing, unsupervised learning, transmission estimation
BibRef
Yang, H.,
Fu, Y.,
Wavelet U-Net and the Chromatic Adaptation Transform for Single Image
Dehazing,
ICIP19(2736-2740)
IEEE DOI
1910
Wavelet transform, U-net, single image dehazing, chromatic adaptation transform
BibRef
He, L.,
Bai, J.,
Yang, M.,
Feature Aggregation Convolution Network for Haze Removal,
ICIP19(2806-2810)
IEEE DOI
1910
Single Image Dehazing, Feature Aggregation, Generative Adversarial Networks
BibRef
Malav, R.[Ramavtar],
Kim, A.[Ayoung],
Sahoo, S.R.[Soumya Ranjan],
Pandey, G.[Gaurav],
DHSGAN: An End to End Dehazing Network for Fog and Smoke,
ACCV18(V:593-608).
Springer DOI
1906
BibRef
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
Dudhane, A.,
Murala, S.,
CDNet: Single Image De-Hazing Using Unpaired Adversarial Training,
WACV19(1147-1155)
IEEE DOI
1904
aerosols, convolutional neural nets, image colour analysis,
image enhancement, image restoration,
Task analysis
See also Single Image Depth Estimation Using Deep Adversarial Training.
BibRef
Ren, W.,
Ma, L.,
Zhang, J.,
Pan, J.,
Cao, X.,
Liu, W.,
Yang, M.,
Gated Fusion Network for Single Image Dehazing,
CVPR18(3253-3261)
IEEE DOI
1812
Image color analysis, Logic gates, Image restoration,
Atmospheric modeling, Decoding, Estimation, Attenuation
BibRef
Li, R.,
Pan, J.,
Li, Z.,
Tang, J.,
Single Image Dehazing via Conditional Generative Adversarial Network,
CVPR18(8202-8211)
IEEE DOI
1812
Generators, Generative adversarial networks,
Image color analysis, Decoding, Image restoration, Visualization
BibRef
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
Du, Y.,
Li, X.,
Recursive Deep Residual Learning for Single Image Dehazing,
Restoration18(843-8437)
IEEE DOI
1812
Image denoising, Noise reduction, Attenuation, Estimation,
Image color analysis, Atmosphere
BibRef
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
Engin, D.,
Genc, A.,
Ekenel, H.K.,
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing,
Restoration18(938-9388)
IEEE DOI
1812
Atmospheric modeling, Scattering, Laplace equations,
Image color analysis, Generators, Image resolution, Meteorology
BibRef
Suárez, P.L.,
Sappa, A.D.,
Vintimilla, B.X.,
Hammoud, R.I.,
Deep Learning Based Single Image Dehazing,
PBVS18(1250-12507)
IEEE DOI
1812
Atmospheric modeling, Generators,
Generative adversarial networks, Convergence, Image color analysis
BibRef
Xiao, J.,
Luo, L.,
liu, E.,
Lei, J.,
Klette, R.,
Single-image Dehazing Algorithm Based on Convolutional Neural
Networks,
ICPR18(1259-1264)
IEEE DOI
1812
Atmospheric modeling, Deconvolution, Convolution, Scattering,
Feature extraction, Convolutional neural networks, Training
BibRef
Li, B.,
Lai, Y.,
Wu, C.,
Liu, Y.,
Fast Single Image Dehazing via Positive Correlation,
ICPR18(2020-2025)
IEEE DOI
1812
Atmospheric modeling, Scattering, Image restoration, Correlation,
Time complexity, Image color analysis, Computer vision, dehazing,
depth estimating
BibRef
Shen, L.,
Yue, Z.,
Chen, Q.,
Feng, F.,
Ma, J.,
Deep joint rain and haze removal from a single image,
ICPR18(2821-2826)
IEEE DOI
1812
Rain, Wavelet transforms, Mathematical model, Feature extraction,
Convolutional neural networks, Tensile stress
BibRef
Swami, K.,
Das, S.K.,
CANDY: Conditional Adversarial Networks based End-to-End System for
Single Image Haze Removal,
ICPR18(3061-3067)
IEEE DOI
1812
Generators, Convolution, Deconvolution, Estimation, Training,
Optimization, Generative adversarial networks
BibRef
Zhang, H.,
Patel, V.M.,
Density-Aware Single Image De-raining Using a Multi-stream Dense
Network,
CVPR18(695-704)
IEEE DOI
1812
Rain, Training, Shape, Estimation, Image resolution, Task analysis, Feature extraction
BibRef
Zhang, H.[He],
Sindagi, V.[Vishwanath],
Patel, V.M.[Vishal M.],
Multi-scale Single Image Dehazing Using Perceptual Pyramid Deep
Network,
Restoration18(1015-101509)
IEEE DOI
1812
Atmospheric modeling, Image color analysis, Mathematical model,
Decoding, Estimation, Scattering, Training
BibRef
Ki, S.,
Sim, H.,
Choi, J.,
Seo, S.,
Kim, S.,
Kim, M.,
Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN
with Receptive Field Sizes Enlarged for Single Ultra-High Resolution
Image Dehazing,
Restoration18(930-9307)
IEEE DOI
1812
BibRef
And: A2, A1, A3, A4, A5, A6:
High-Resolution Image Dehazing with Respect to Training Losses and
Receptive Field Sizes,
Restoration18(1025-10257)
IEEE DOI
1812
Decoding, Generators,
Generative adversarial networks, Image resolution, Convolution, Interpolation.
Training, Task analysis, Image enhancement.
BibRef
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.[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
Yang, D.[Dong],
Sun, J.[Jian],
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single
Image Dehazing,
ECCV18(VII: 729-746).
Springer DOI
1810
BibRef
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
Huang, Y.,
Wang?, Y.,
Su?, Z.,
Single Image Dehazing Via a Joint Deep Modeling,
ICIP18(2840-2844)
IEEE DOI
1809
Estimation, Atmospheric modeling, Optimization, Plugs, Imaging,
Convolution, Jointly dehazing, residual learning,
deep CNN
BibRef
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
Dudhane, A.,
Murala, S.,
C^2MSNet: A Novel Approach for Single Image Haze Removal,
WACV18(1397-1404)
IEEE DOI
1806
feedforward neural nets, image colour analysis, image denoising,
image enhancement, image fusion, image restoration,
Matlab
BibRef
Zhao, X.[Xi],
Wang, K.Y.[Ke-Yan],
Li, Y.S.[Yun-Song],
Li, J.J.[Jiao-Jiao],
Deep fully convolutional regression networks for single image haze
removal,
VCIP17(1-4)
IEEE DOI
1804
convolution, feedforward neural nets, image denoising,
image restoration, regression analysis, CNN, computer vision,
transmission regressed model
BibRef
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
Zhang, Y.,
Ding, L.,
Sharma, G.,
HazeRD: An outdoor scene dataset and benchmark for single image
dehazing,
ICIP17(3205-3209)
IEEE DOI
1803
Atmospheric modeling, Benchmark testing, Cameras,
Image color analysis, Meteorology, Scattering, Visualization,
depth
BibRef
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
Zhang, S.D.[Sheng-Dong],
Yao, J.[Jian],
Garcia, E.B.[Edel B.],
Single Image Dehazing via Image Generating,
PSIVT17(123-136).
Springer DOI
1802
BibRef
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
Jackson, J.,
Ariyo, O.,
Acheampong, K.,
Boakye, M.,
Frimpong, E.,
Ashalley, E.,
Rao, Y.,
Hybrid single image dehazing with bright channel and dark channel
priors,
ICIVC17(381-385)
IEEE DOI
1708
Approximation algorithms, Channel estimation, Estimation,
Filtering algorithms, Image color analysis, Optical filters,
Programmable logic arrays, bright channel prior,
dark channel prior, fast guided filter, image, dehazing
BibRef
Fan, T.H.[Tang-Huai],
Li, C.L.[Chang-Li],
Ma, X.[Xiao],
Chen, Z.[Zhe],
Zhang, X.[Xuan],
Chen, L.[Lin],
An improved single image defogging method based on Retinex,
ICIVC17(410-413)
IEEE DOI
1708
image defog, image enhancement, image fusion, retinex, algorithm
BibRef
Li, C.L.[Chang-Li],
Fan, T.H.[Tang-Huai],
Ma, X.[Xiao],
Zhang, Z.[Zhen],
Wu, H.X.[Hong-Xin],
Chen, L.[Lin],
An improved image defogging method based on dark channel prior,
ICIVC17(414-417)
IEEE DOI
1708
Atmosphere, Channel estimation, Estimation, Image color analysis,
Image restoration, Optimization, Real-time systems,
dark channel prior, image defogging, image enhancement, image, restoration
BibRef
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
Lee, C.W.[Chul-Woo],
Shao, L.,
Learning-based single image dehazing via genetic programming,
ICPR16(745-750)
IEEE DOI
1705
Atmospheric modeling, Estimation, Feature extraction,
Image color analysis, Scattering, Sociology, Statistics
BibRef
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
Zhang, S.D.[Sheng-Dong],
Yao, J.[Jian],
Single Image Dehazing Using Fixed Points and Nearest-Neighbor
Regularization,
NTIRE16(I: 18-33).
Springer DOI
1704
BibRef
Shen, Y.,
Wu, X.,
Single image haze removal using Gaussian mixture model and sparse
optimization,
VCIP16(1-4)
IEEE DOI
1701
Color
BibRef
Jo, S.Y.[Sung Yong],
Ha, J.[Jeongmok],
Jeong, H.[Hong],
Single Image Haze Removal Using Single Pixel Approach Based on Dark
Channel Prior with Fast Filtering,
ICCVG16(151-162).
Springer DOI
1611
BibRef
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
Ling, Z.G.[Zhi-Gang],
Li, X.X.[Xiu-Xin],
Zou, W.[Wen],
Liu, M.[Min],
Joint Haze-relevant Features Selection and Transmission Estimation
via Deep Belief Network for Efficient Single Image Dehazing,
ICPR18(133-139)
IEEE DOI
1812
Feature extraction, Computational modeling, Correlation,
Estimation, Microwave integrated circuits, Image color analysis, Redundancy
BibRef
Ling, Z.G.[Zhi-Gang],
Fan, G.L.[Guo-Liang],
Wang, Y.N.[Yao-Nan],
Lu, X.[Xiao],
Learning deep transmission network for single image dehazing,
ICIP16(2296-2300)
IEEE DOI
1610
Atmospheric modeling
BibRef
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
Ma, K.[Kede],
Liu, W.T.[Wen-Tao],
Wang, Z.[Zhou],
Perceptual evaluation of single image dehazing algorithms,
ICIP15(3600-3604)
IEEE DOI
1512
Image dehazing
BibRef
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
Zhai, Y.,
Ji, D.,
Single Image Dehazing for Visibility Improvement,
UAV-g15(355-360).
DOI Link
1512
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
Zhu, X.[Ximei],
Li, Y.[Ying],
Qiao, Y.[Yu],
Fast single image dehazing through Edge-Guided Interpolated Filter,
MVA15(443-446)
IEEE DOI
1507
Atmosphere
BibRef
Park, D.[Dubok],
Park, H.J.[Hyung-Jo],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Single image dehazing with image entropy and information fidelity,
ICIP14(4037-4041)
IEEE DOI
1502
Atmospheric modeling
BibRef
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
Park, H.[Hyungjo],
Park, D.[Dubok],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Single image haze removal using novel estimation of atmospheric light
and transmission,
ICIP14(4502-4506)
IEEE DOI
1502
Atmospheric modeling
BibRef
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
Li, J.F.[Jia-Feng],
Zhang, H.[Hong],
Yuan, D.[Ding],
Wang, H.L.[He-Long],
Haze Removal from Single Images Based on a Luminance Reference Model,
ACPR13(446-450)
IEEE DOI
1408
computer vision
BibRef
Wang, K.[Ke],
Dunn, E.[Enrique],
Tighe, J.[Joseph],
Frahm, J.M.[Jan-Michael],
Combining semantic scene priors and haze removal for single image
depth estimation,
WACV14(800-807)
IEEE DOI
1406
Buildings
BibRef
Meng, G.F.[Gao-Feng],
Wang, Y.[Ying],
Duan, J.Y.[Jiang-Yong],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
Efficient Image Dehazing with Boundary Constraint and Contextual
Regularization,
ICCV13(617-624)
IEEE DOI
1403
image processing; single image dehazing; visibility enhancement
See also Image deblurring with matrix regression and gradient evolution. See also Image Guided Tone Mapping with Locally Nonlinear Model.
BibRef
Zhang, H.[Hong],
Liu, X.[Xuan],
Huang, Z.T.[Zhi-Tong],
Ji, Y.F.[Yue-Feng],
Single image dehazing based on fast wavelet transform with weighted
image fusion,
ICIP14(4542-4546)
IEEE DOI
1502
Computer vision
BibRef
Qin, B.Y.[Bo-Yang],
Huang, Z.T.[Zhi-Tong],
Zeng, F.X.[Fan-Xiang],
Ji, Y.F.[Yue-Feng],
Fast single image dehazing with domain transformation-based
edge-preserving filter and weighted quadtree subdivision,
ICIP15(4233-4237)
IEEE DOI
1512
Dehazing
BibRef
Liu, X.[Xuan],
Zeng, F.X.[Fan-Xiang],
Huang, Z.T.[Zhi-Tong],
Ji, Y.F.[Yue-Feng],
Single color image dehazing based on digital total variation filter
with color transfer,
ICIP13(909-913)
IEEE DOI
1402
Atmospheric modeling
BibRef
Kil, T.H.[Tae Ho],
Lee, S.H.[Sang Hwa],
Cho, N.I.[Nam Ik],
Single image dehazing based on reliability map of dark channel prior,
ICIP13(882-885)
IEEE DOI
1402
Channel estimation
BibRef
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
Long, J.[Jiao],
Shi, Z.W.[Zhen-Wei],
Tang, W.[Wei],
Fast haze removal for a single remote sensing image using dark channel
prior,
CVRS12(132-135).
IEEE DOI
1302
BibRef
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
Pedone, M.[Matteo],
Heikkila, J.[Janne],
Robust airlight estimation for haze removal from a single image,
ECVW11(90-96).
IEEE DOI
1106
BibRef
Fang, S.[Shuai],
Zhan, J.Q.[Ji-Qing],
Cao, Y.[Yang],
Rao, R.Z.[Rui-Zhong],
Improved single image dehazing using segmentation,
ICIP10(3589-3592).
IEEE DOI
1009
BibRef
Dong, X.M.[Xue-Mei],
Hu, X.Y.[Xi-Yuan],
Peng, S.L.[Si-Long],
Wang, D.C.[Duo-Chao],
Single color image dehazing using sparse priors,
ICIP10(3593-3596).
IEEE DOI
1009
BibRef
Ancuti, C.O.[Codruta Orniana],
Ancuti, C.[Cosmin],
Bekaert, P.[Philippe],
Effective single image dehazing by fusion,
ICIP10(3541-3544).
IEEE DOI
1009
BibRef
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
Carr, P.[Peter],
Hartley, R.I.[Richard I.],
Improved Single Image Dehazing Using Geometry,
DICTA09(103-110).
IEEE DOI
0912
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Underwater Imaging, Color Correction .