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
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
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
Lyu, N.[Nana],
Zhao, J.[Jian],
Liu, P.[Pengbo],
Li, L.H.[Lin-Hui],
He, Y.J.[Ying-Jie],
Su, T.[Tianfa],
Wen, J.X.[Jian-Xi],
Scene-Adaptive Real-Time Fast Dehazing and Detection in Driving
Environment,
ITS(24), No. 12, December 2023, pp. 15288-15299.
IEEE DOI
2312
BibRef
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
Liu, Y.[Yun],
Wang, X.R.[Xin-Ran],
Hu, E.[Enping],
Wang, A.Z.[An-Zhi],
Shiri, B.[Babak],
Lin, W.S.[Wei-Si],
VNDHR: Variational Single Nighttime Image Dehazing for Enhancing
Visibility in Intelligent Transportation Systems via Hybrid
Regularization,
ITS(26), No. 7, July 2025, pp. 10189-10203.
IEEE DOI
2507
Atmospheric modeling, Lighting, Degradation, Reflectivity,
Image color analysis, Scattering, Image restoration, Visualization,
stretching
BibRef
Gade, H.B.[Harish Babu],
Odugu, V.K.[Venkata Krishna],
R, A.R.[Anirudh Reddy],
Pendem, S.[Sireesha],
A novel and efficient image dehazing technique for Advanced Driver
Assistance Systems,
JVCIR(112), 2025, pp. 104570.
Elsevier DOI
2511
Advanced Driver Assistance System, Dehazing,
Transmission Rate Estimation, AirLight Estimation and PSNR
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
Remote Sensing, Aerial, Satellite, Image Dehazing .