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Mingye Ju
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2020 – today
- 2024
- [j15]Mingye Ju, Fuping Li, Siying Xie:
FGN: A Fully Guided Network for Image Dehazing. IEEE Signal Process. Lett. 31: 1870-1874 (2024) - 2023
- [j14]Jialiang Zhang, Chuheng Chen, Kai Chen, Mingye Ju, Dengyin Zhang:
Local Adaptive Image Filtering Based on Recursive Dilation Segmentation. Sensors 23(13): 5776 (2023) - [j13]Mingye Ju, Chunming He, Juping Liu, Bin Kang, Jian Su, Dengyin Zhang:
IVF-Net: An Infrared and Visible Data Fusion Deep Network for Traffic Object Enhancement in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(1): 1220-1234 (2023) - [c7]Zenghui Yang, Haoran Liu, Mingye Ju, Lin Zhang:
Low-light image enhancement based on U-Net and fusion strategy. CISP-BMEI 2023: 1-6 - [c6]Lin Zhang, Zenghui Yang, Mingye Ju, Haoran Liu:
MTC-TransUNet: A Multi-Scale Mixed Convolution TransUNet for Medical Image Segmentation. CISP-BMEI 2023: 1-7 - 2022
- [j12]Mingye Ju, Can Ding, Wenqi Ren, Yi Yang:
IDBP: Image Dehazing Using Blended Priors Including Non-Local, Local, and Global Priors. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4867-4871 (2022) - [i1]Mingye Ju, Charles A. Guo, Chuheng Chen, Jinshan Pan, Jinhui Tang, Dacheng Tao:
SLLEN: Semantic-aware Low-light Image Enhancement Network. CoRR abs/2211.11571 (2022) - 2021
- [j11]Juping Liu, Shiju Wang, Xin Wang, Mingye Ju, Dengyin Zhang:
A Review of Remote Sensing Image Dehazing. Sensors 21(11): 3926 (2021) - [j10]Mingye Ju, Can Ding, Wenqi Ren, Yi Yang, Dengyin Zhang, Y. Jay Guo:
IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model. IEEE Trans. Image Process. 30: 2180-2192 (2021) - [j9]Mingye Ju, Can Ding, Charles A. Guo, Wenqi Ren, Dacheng Tao:
IDRLP: Image Dehazing Using Region Line Prior. IEEE Trans. Image Process. 30: 9043-9057 (2021) - [c5]Mingye Ju, Chuheng Chen, Juping Liu, Kai Chen, Dengyin Zhang:
VRHI: Visibility Restoration for Hazy Images Using a Haze Density Model. CVPR Workshops 2021: 897-904 - [c4]Ruoyu Su, Mingye Ju, Zijun Gong, Cheng Li, Ramachandran Venkatesan:
A Review of Channel Modeling Techniques for Internet of Underwater Things. IWCMC 2021: 1754-1759 - [c3]Chuheng Chen, Juping Liu, Kai Chen, Mingye Ju:
Single Image Dehazing Method Based on Gradient Matrix and Ternary Parameter Search. WCSP 2021: 1-5 - [c2]Kai Chen, Juping Liu, Chuheng Chen, Zhe Wang, Mingye Ju:
Contrast Restoration of Hazy Image in HSV Space. WCSP 2021: 1-5 - 2020
- [b1]Mingye Ju:
Imaging-Model-Based Visibility Recovery for Single Hazy Images. University of Technology Sydney, Australia, 2020 - [j8]Mingye Ju, Can Ding, Y. Jay Guo, Dengyin Zhang:
IDGCP: Image Dehazing Based on Gamma Correction Prior. IEEE Trans. Image Process. 29: 3104-3118 (2020) - [c1]Yanyang Yan, Shengdong Zhang, Mingye Ju, Wenqi Ren, Rui Wang, Yuanfang Guo:
A Point Light Source Interference Removal Method for Image Dehazing. CVPR Workshops 2020: 3817-3825
2010 – 2019
- 2019
- [j7]Mingye Ju, Can Ding, Y. Jay Guo, Dengyin Zhang:
Remote Sensing Image Haze Removal Using Gamma-Correction-Based Dehazing Model. IEEE Access 7: 5250-5261 (2019) - [j6]Mingye Ju, Can Ding, Dengyin Zhang, Y. Jay Guo:
BDPK: Bayesian Dehazing Using Prior Knowledge. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2349-2362 (2019) - 2018
- [j5]Mingye Ju, Can Ding, Dengyin Zhang, Y. Jay Guo:
Gamma-Correction-Based Visibility Restoration for Single Hazy Images. IEEE Signal Process. Lett. 25(7): 1084-1088 (2018) - 2017
- [j4]Mingye Ju, Zhenfei Gu, Dengyin Zhang, Jian Liu:
Single Image Dehazing Using Invariance Principle. IEICE Trans. Inf. Syst. 100-D(12): 3068-3072 (2017) - [j3]Mingye Ju, Zhenfei Gu, Dengyin Zhang:
Single image haze removal based on the improved atmospheric scattering model. Neurocomputing 260: 180-191 (2017) - [j2]Xiaoyan Yuan, Mingye Ju, Zhenfei Gu, Shuwang Wang:
An Effective and Robust Single Image Dehazing Method Using the Dark Channel Prior. Inf. 8(2): 57 (2017) - [j1]Mingye Ju, Dengyin Zhang, Xuemei Wang:
Single image dehazing via an improved atmospheric scattering model. Vis. Comput. 33(12): 1613-1625 (2017)
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last updated on 2024-08-23 18:36 CEST by the dblp team
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