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ORCIDPeixian Zhuang
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2020 – today
- 2024
[j33]Weidong Zhang, Baiqiang Yu, Guohou Li, Peixian Zhuang
, Zheng Liang, Wenyi Zhao:
Unified multi-color-model-learning-based deep support vector machine for underwater image classification. Eng. Appl. Artif. Intell. 138: 109437 (2024)- [j32]Weidong Zhang, Gongchao Chen, Peixian Zhuang, Wenyi Zhao, Ling Zhou:
CATNet: Cascaded attention transformer network for marine species image classification. Expert Syst. Appl. 256: 124932 (2024) - [j31]Yongqin Tian, Weidong Zhang, Peng Su, Yibo Xu, Peixian Zhuang, Xiwang Xie, Wenyi Zhao:
S4: Self-supervised learning with sparse-dense sampling. Knowl. Based Syst. 299: 112040 (2024) - [j30]Baiqiang Yu, Weidong Zhang, Wenqiang Yu, Peixian Zhuang, Wenyi Zhao:
ZAP: Underwater Image Color Correction via Zero Approximation Principle. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j29]Weidong Zhang, Wenyi Zhao, Jia Li, Peixian Zhuang, Hai-Han Sun, Yibo Xu, Chongyi Li:
CVANet: Cascaded visual attention network for single image super-resolution. Neural Networks 170: 622-634 (2024) - [j28]Guojia Hou, Nan Li, Peixian Zhuang, Kunqian Li, Hai-Han Sun, Chongyi Li:
Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior. IEEE Trans. Circuits Syst. Video Technol. 34(2): 799-814 (2024) - [j27]Zheng Liang, Weidong Zhang, Rui Ruan, Peixian Zhuang, Xiwang Xie, Chongyi Li:
Underwater Image Quality Improvement via Color, Detail, and Contrast Restoration. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1726-1742 (2024) - [j26]Weidong Zhang, Ling Zhou, Peixian Zhuang, Guohou Li, Xipeng Pan, Wenyi Zhao, Chongyi Li:
Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2469-2483 (2024) - [j25]Peixian Zhuang, Jiangyun Li, Qing Li, Lei Cai, Sam Kwong:
Decomposition-Estimation-Reconstruction: An Automatic and Accurate Neuron Extraction Paradigm. IEEE Trans. Cybern. 54(10): 5938-5951 (2024) - [j24]Zheng Liang, Rui Ruan, Chuanjian Wang, Peixian Zhuang:
Single Image Quality Improvement via Joint Local Structure Dehazing and Local Texture Enhancement. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j23]Weidong Zhang, Zexu Li, Guohou Li, Peixian Zhuang, Guojia Hou, Qiang Zhang, Chongyi Li:
GACNet: Generate Adversarial-Driven Cross-Aware Network for Hyperspectral Wheat Variety Identification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j22]Tianxiang Zhang, Yuanxiu Cai, Peixian Zhuang, Jiangyun Li:
Remotely Sensed Crop Disease Monitoring by Machine Learning Algorithms: A Review. Unmanned Syst. 12(1): 161-171 (2024) - [i2]Yuemei Li, Guojia Hou, Peixian Zhuang, Zhenkuan Pan:
Dual High-Order Total Variation Model for Underwater Image Restoration. CoRR abs/2407.14868 (2024) - 2023
- [j21]Zheng Liang, Rui Ruan, Lin Jiao, Weidong Zhang, Peixian Zhuang:
An Underwater Image Restoration Method Based on Adaptive Brightness Improvement and Local Image Descattering. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j20]Weidong Zhang, Songlin Jin, Peixian Zhuang, Zheng Liang, Chongyi Li:
Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement. IEEE Signal Process. Lett. 30: 229-233 (2023) - [j19]Wenyi Zhao, Chongyi Li, Weidong Zhang, Lu Yang, Peixian Zhuang, Lingqiao Li, Kefeng Fan, Huihua Yang:
Embedding Global Contrastive and Local Location in Self-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2275-2289 (2023) - 2022
- [j18]Wenyi Zhao, Weidong Zhang, Xipeng Pan, Peixian Zhuang, Xiwang Xie, Lingqiao Li, Huihua Yang:
LESSL: Can LEGO sampling and collaborative optimization contribute to self-supervised learning? Inf. Sci. 615: 475-490 (2022) - [j17]Weidong Zhang, Zexu Li, Hai-Han Sun, Qiang Zhang, Peixian Zhuang, Chongyi Li:
SSTNet: Spatial, Spectral, and Texture Aware Attention Network Using Hyperspectral Image for Corn Variety Identification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j16]Zheng Liang, Weidong Zhang, Rui Ruan, Peixian Zhuang, Chongyi Li:
GIFM: An Image Restoration Method With Generalized Image Formation Model for Poor Visible Conditions. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j15]Weidong Zhang, Peixian Zhuang, Hai-Han Sun, Guohou Li, Sam Kwong, Chongyi Li:
Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement. IEEE Trans. Image Process. 31: 3997-4010 (2022) - [j14]Peixian Zhuang, Jiamin Wu, Fatih Porikli, Chongyi Li:
Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors. IEEE Trans. Image Process. 31: 5442-5455 (2022) - [c12]Peixian Zhuang, Jiamin Wu:
Reinforcing Neuron Extraction from Calcium Imaging Data via Depth-Estimation Constrained Nonnegative Matrix Factorization. ICIP 2022: 216-220 - 2021
- [j13]Peixian Zhuang, Chongyi Li, Jiamin Wu:
Bayesian retinex underwater image enhancement. Eng. Appl. Artif. Intell. 101: 104171 (2021) - [j12]Hanyu Li, Peixian Zhuang:
DewaterNet: A fusion adversarial real underwater image enhancement network. Signal Process. Image Commun. 95: 116248 (2021) - [c11]Peixian Zhuang:
MGF: An Algorithm for Compressed Sensing MRI with Gradient Domain Guided Image Filtering. ICIGP 2021: 214-218 - [c10]Peixian Zhuang:
Retinex Underwater Image Enhancement With Multiorder Gradient Priors. ICIP 2021: 1709-1713 - 2020
- [j11]Peixian Zhuang, Xinghao Ding:
Underwater image enhancement using an edge-preserving filtering Retinex algorithm. Multim. Tools Appl. 79(25-26): 17257-17277 (2020) - [j10]Peixian Zhuang, Xinghao Ding:
Correction to: Underwater image enhancement using an edge-preserving filtering Retinex algorithm. Multim. Tools Appl. 79(25-26): 17279 (2020) - [j9]Penghao Guo, Peixian Zhuang, Yecai Guo:
Bayesian Pan-Sharpening With Multiorder Gradient-Based Deep Network Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 950-962 (2020) - [c9]Peixian Zhuang, Penghao Guo, Yuxiang Dai:
An Enhancing Approach for Typhoon Cloud Image. ICIGP 2020: 62-66 - [c8]Kai Zhou, Peixian Zhuang, Jiaying Xiong, Jin Zhao, Muyao Du:
Blind Image Deblurring With Joint Extreme Channels And L0-Regularized Intensity And Gradient Priors. ICIP 2020: 873-877 - [c7]Jiaying Xiong, Peixian Zhuang, Yanan Zhang:
An Efficient Underwater Image Enhancement Model With Extensive Beer-Lambert Law. ICIP 2020: 893-897
2010 – 2019
- 2019
- [j8]Peixian Zhuang, Xinghao Ding:
Divide-and-conquer framework for image restoration and enhancement. Eng. Appl. Artif. Intell. 85: 830-844 (2019) - [j7]Peixian Zhuang, Xiaowen Zhu, Xinghao Ding:
MRI reconstruction with an edge-preserving filtering prior. Signal Process. 155: 346-357 (2019) - [j6]Peixian Zhuang, Qingshan Liu, Xinghao Ding:
Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering. Signal Process. 156: 177-190 (2019) - [j5]Fei Ye, Yecai Guo, Peixian Zhuang:
Pan-sharpening via a gradient-based deep network prior. Signal Process. Image Commun. 74: 322-331 (2019) - [c6]Peixian Zhuang, Xinghao Ding:
Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors. ICIP 2019: 2080-2084 - [c5]Zhengjie Zhao, Yuxiang Dai, Peixian Zhuang:
Underwater Image Enhancement with a Total Generalized Variation Illumination Prior. ISPA/BDCloud/SocialCom/SustainCom 2019: 1041-1048 - [c4]Hanyu Li, Peixian Zhuang, Wei Wang, Jingjing Li:
Underwater Image Enhancement Based on Dehazing and Color Correction. ISPA/BDCloud/SocialCom/SustainCom 2019: 1365-1370 - [i1]Yuxiang Dai, Peixian Zhuang:
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network. CoRR abs/1906.05251 (2019) - 2017
- [j4]Peixian Zhuang, Xueyang Fu, Yue Huang, Xinghao Ding:
Image enhancement using divide-and-conquer strategy. J. Vis. Commun. Image Represent. 45: 137-146 (2017) - [j3]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Non-blind deconvolution with ℓ 1 -norm of high-frequency fidelity. Multim. Tools Appl. 76(22): 23607-23625 (2017) - 2016
- [j2]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. Neurocomputing 174: 858-865 (2016) - [j1]Peixian Zhuang, Xueyang Fu, Yue Huang, Delu Zeng, Xinghao Ding:
A novel framework method for non-blind deconvolution using subspace images priors. Signal Process. Image Commun. 46: 17-28 (2016) - 2014
- [c3]Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A retinex-based enhancing approach for single underwater image. ICIP 2014: 4572-4576 - [c2]Peixian Zhuang, Wei Wang, Delu Zeng, Xinghao Ding:
Robust mixed noise removal with non-parametric Bayesian sparse outlier model. MMSP 2014: 1-5 - 2013
- [c1]Shengkui Dai, Peixian Zhuang, Wenjie Xiang:
GSO: An Improved PSO Based on Geese Flight Theory. ICSI (1) 2013: 87-95
Coauthor Index
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