A retinex-based enhancing approach for single underwater image X Fu, P Zhuang, Y Huang, Y Liao, XP Zhang, X Ding 2014 IEEE international conference on image processing (ICIP), 4572-4576, 2014 | 485 | 2014 |
Underwater image enhancement using a multiscale dense generative adversarial network Y Guo, H Li, P Zhuang IEEE Journal of Oceanic Engineering 45 (3), 862-870, 2019 | 359 | 2019 |
Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement W Zhang, P Zhuang, HH Sun, G Li, S Kwong, C Li IEEE Transactions on Image Processing 31, 3997-4010, 2022 | 244 | 2022 |
Bayesian retinex underwater image enhancement P Zhuang, C Li, J Wu Engineering Applications of Artificial Intelligence 101, 104171, 2021 | 190 | 2021 |
Underwater image enhancement with hyper-laplacian reflectance priors P Zhuang, J Wu, F Porikli, C Li IEEE Transactions on Image Processing 31, 5442-5455, 2022 | 170 | 2022 |
Underwater image enhancement using an edge-preserving filtering retinex algorithm P Zhuang, X Ding Multimedia Tools and Applications 79 (25), 17257-17277, 2020 | 77 | 2020 |
Removing stripe noise from infrared cloud images via deep convolutional networks P Xiao, Y Guo, P Zhuang IEEE Photonics Journal 10 (4), 1-14, 2018 | 67 | 2018 |
DewaterNet: A fusion adversarial real underwater image enhancement network H Li, P Zhuang Signal Processing: Image Communication 95, 116248, 2021 | 43 | 2021 |
Underwater image enhancement via piecewise color correction and dual prior optimized contrast enhancement W Zhang, S Jin, P Zhuang, Z Liang, C Li IEEE Signal Processing Letters 30, 229-233, 2023 | 41 | 2023 |
Bayesian pan-sharpening with multiorder gradient-based deep network constraints P Guo, P Zhuang, Y Guo IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 37 | 2020 |
Underwater image enhancement via weighted wavelet visual perception fusion W Zhang, L Zhou, P Zhuang, G Li, X Pan, W Zhao, C Li IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 36 | 2023 |
Compressed sensing MRI via a multi-scale dilated residual convolution network Y Dai, P Zhuang Magnetic resonance imaging 63, 93-104, 2019 | 32 | 2019 |
SSTNet: Spatial, spectral, and texture aware attention network using hyperspectral image for corn variety identification W Zhang, Z Li, HH Sun, Q Zhang, P Zhuang, C Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 31 | 2022 |
GIFM: An image restoration method with generalized image formation model for poor visible conditions Z Liang, W Zhang, R Ruan, P Zhuang, C Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 24 | 2022 |
Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering P Zhuang, Q Liu, X Ding Signal Processing 156, 177-190, 2019 | 21 | 2019 |
Non-uniform illumination underwater image restoration via illumination channel sparsity prior G Hou, N Li, P Zhuang, K Li, H Sun, C Li IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 20 | 2023 |
MRI reconstruction with an edge-preserving filtering prior P Zhuang, X Zhu, X Ding Signal Processing 155, 346-357, 2019 | 19 | 2019 |
CVANet: Cascaded visual attention network for single image super-resolution W Zhang, W Zhao, J Li, P Zhuang, H Sun, Y Xu, C Li Neural Networks 170, 622-634, 2024 | 16 | 2024 |
Embedding global contrastive and local location in self-supervised learning W Zhao, C Li, W Zhang, L Yang, P Zhuang, L Li, K Fan, H Yang IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 16 | 2022 |
Pan-sharpening via a gradient-based deep network prior F Ye, Y Guo, P Zhuang Signal Processing: Image Communication 74, 322-331, 2019 | 16 | 2019 |