18 citations · 62 across the 7 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 5 cited
PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval
Aoxu Liu, Xiaohong Fan, Yin Yang +1
The problem of phase retrieval (PR) involves recovering an unknown image from limited amplitude measurement data and is a challenge nonlinear inverse problem in computational imagi…
cs.CV2023★ 11 cited
A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing
Yujie Feng, Yin Yang, Xiaohong Fan +2
Remote sensing images are essential for many applications of the earth's sciences, but their quality can usually be degraded due to limitations in sensor technology and complex ima…
eess.IV2023★ 12 cited
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction
Xiaohong Fan, Yin Yang, Ke Chen +2
Proximal gradient-based optimization is one of the most common strategies to solve inverse problem of images, and it is easy to implement. However, these techniques often generate…