4.11.2.8.1 Real-Time Image Dehazing, Fast Haze Removal

Chapter Contents (Back)
Haze. Dehazing. Real-Time Dehazing. Fast Dehazing.
See also Enhancement for General Weather Degradation, Restoration, Understanding.

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

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

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

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

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

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

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

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

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

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

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

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

Ngo, D.[Dat], Son, J.[Jeonghyeon], Kang, B.[Bongsoon],
VBI-Accelerated FPGA Implementation of Autonomous Image Dehazing: Leveraging the Vertical Blanking Interval for Haze-Aware Local Image Blending,
RS(17), No. 5, 2025, pp. 919.
DOI Link 2503
BibRef

Yang, Y.[Yang], Zhang, L.[Lei], Pang, K.[Ke], Chen, T.T.[Tong-Tong], Yue, X.D.[Xiao-Dong],
Semantic-assisted unpaired image dehazing,
IVC(165), 2026, pp. 105818.
Elsevier DOI 2512
Image dehazing, Unpaired learning, Semantic segmentation, Image restoration BibRef

Deng, H.[Haoyou], Li, Z.Q.[Zhi-Qiang], Zhang, F.[Feng], Xu, B.[Bin], Lu, Q.B.[Qing-Bo], Gao, C.X.[Chang-Xin], Sang, N.[Nong],
Toward Robust Alignment for Video Dehazing With Temporal Lookup Table,
IP(35), 2026, pp. 4989-5002.
IEEE DOI 2605
Table lookup, Color, Videos, Fluid flow, Optimization, PSNR, Memory, Modules (abstract algebra), Image dehazing, Visualization, lookup table BibRef


Kim, D.H.[Dong-Hyun], Kang, S.[Seil], Hwang, S.J.[Seong Jae],
FALCON: Fast Image Haze Removal Leveraging Continuous Density Mask,
NTIRE25(844-854)
IEEE DOI 2512
Measurement, Image dehazing, Surveillance, Refining, Network architecture, Real-time systems, Time factors, Optimization BibRef

Adari, R.S.[Rama Sukanya], Mirthipati, S.S.[SaiKiran Sanjay], Malothu, N.[Naresh], Jatoth, R.K.[Ravi Kumar],
Real-Time Implementation of Modified LD-NET using Docker on NVIDIA Jetson Nano for Image Dehazing Application,
ICCVMI23(1-5)
IEEE DOI 2403
Visualization, Atmospheric measurements, Tracking, Atmospheric modeling, Surveillance, Containers, Docker Container 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

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

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

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Nighttime, Low Lignt Image Dehazing .


Last update:Jun 29, 2026 at 11:02:34