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Lensless Image Restoration Based on Multi-Stage Deep Neural Networks and Pix2pix Architecture 期刊论文
PHOTONICS, 2023, 卷号: 10, 期号: 11
作者:  Liu, Muyuan;  Su, Xiuqin;  Yao, Xiaopeng;  Hao, Wei;  Zhu, Wenhua
Adobe PDF(2437Kb)  |  收藏  |  浏览/下载：48/0  |  提交时间：2024/01/03
monocular depth estimation  pseudo-depth net  transformer  encoder-decoder  
Optical Remote Sensing Image Denoising and Super-Resolution Reconstructing Using Optimized Generative Network in Wavelet Transform Domain 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 9
作者:  Feng, Xubin;  Zhang, Wuxia;  Su, Xiuqin;  Xu, Zhengpu
Adobe PDF(14071Kb)  |  收藏  |  浏览/下载：177/0  |  提交时间：2021/06/09
remote sensing  denoising  super-resolution  generative adversarial network (GAN)  residual network (ResNet)  densely connection network (DenseNet)  relativistic  wavelet transform (WT)  total variation (TV)  
Lensless computational imaging technology using deep convolutional network 期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 9
作者:  Chen, Peidong;  Su, Xiuqin;  Liu, Muyuan;  Zhu, Wenhua
Adobe PDF(3539Kb)  |  收藏  |  浏览/下载：199/1  |  提交时间：2020/05/28
lensless  lens-free  computational imaging  deep learning  FCN (Fully Convolutional Networks)  U-Net  Dense-U-Net  image reconstruction  
Single Space Object Image Denoising and Super-Resolution Reconstructing Using Deep Convolutional Networks 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 16
作者:  Feng, Xubin;  Su, Xiuqin;  Shen, Junge;  Jin, Humin
Adobe PDF(1556Kb)  |  收藏  |  浏览/下载：240/0  |  提交时间：2019/09/27
space object  cosmic-ray  denoising  super-resolution  CNN  residual learning  
Single-image super-resolution reconstruction via generative adversarial network 会议论文
9TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: OPTOELECTRONIC MATERIALS AND DEVICES FOR SENSING AND IMAGING, Chengdu, PEOPLES R CHINA, 2018-06-26
作者:  Ju, Chunwu;  Su, Xiuqin;  Yang, Haoyuan;  Ning, Hailong
Adobe PDF(1399Kb)  |  收藏  |  浏览/下载：170/1  |  提交时间：2019/04/04