5 citations · 5 across the 3 of their papers we have counts for
4 papers
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
Wenxue Cui, Xingtao Wang, Xiaopeng Fan +3
Existing image compressed sensing (CS) coding frameworks usually solve an inverse problem based on measurement coding and optimization-based image reconstruction, which still exist…
Deep neural network based sparse measurement matrix for image compressed sensing
Wenxue Cui, Feng Jiang, Xinwei Gao +2
Gaussian random matrix (GRM) has been widely used to generate linear measurements in compressed sensing (CS) of natural images. However, there actually exist two disadvantages with…
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios
Wenxue Cui, Heyao Xu, Xinwei Gao +3
The compressed sensing (CS) has been successfully applied to image compression in the past few years as most image signals are sparse in a certain domain. Several CS reconstruction…
High Quality Image Interpolation via Local Autoregressive and Nonlocal 3-D Sparse Regularization
Xinwei Gao, Jian Zhang, Feng Jiang +3
In this paper, we propose a novel image interpolation algorithm, which is formulated via combining both the local autoregressive (AR) model and the nonlocal adaptive 3-D sparse mod…