Search Results for author: Xinwei Gao

Found 4 papers, 3 papers with code

Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling

no code implementations29 Feb 2024 Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu, Xinwei Gao, Debin Zhao

In this paper, we propose a new CNN based image CS coding framework using local structural sampling (dubbed CSCNet) that includes three functional modules: local structural sampling, measurement coding and Laplacian pyramid reconstruction.

Image Compressed Sensing Image Reconstruction

Deep neural network based sparse measurement matrix for image compressed sensing

1 code implementation19 Jun 2018 Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao

In this paper, a Deep neural network based Sparse Measurement Matrix (DSMM) is learned by the proposed convolutional network to reduce the sampling computational complexity and improve the CS reconstruction performance.

Image Compressed Sensing

An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios

1 code implementation13 Apr 2018 Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao

To address this problem, we propose a deep convolutional Laplacian Pyramid Compressed Sensing Network (LapCSNet) for CS, which consists of a sampling sub-network and a reconstruction sub-network.

Blocking Compressive Sensing +1

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