Search Results for author: Jingfen Xie

Found 5 papers, 4 papers with code

Deep Physics-Guided Unrolling Generalization for Compressed Sensing

1 code implementation18 Jul 2023 Bin Chen, Jiechong Song, Jingfen Xie, Jian Zhang

By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable image reconstruction.

Image Compressed Sensing Image Reconstruction

PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI

1 code implementation24 Apr 2022 Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji

Compressed Sensing MRI (CS-MRI) aims at reconstructing de-aliased images from sub-Nyquist sampling k-space data to accelerate MR Imaging, thus presenting two basic issues, i. e., where to sample and how to reconstruct.


Robust Invertible Image Steganography

no code implementations CVPR 2022 Youmin Xu, Chong Mou, Yujie Hu, Jingfen Xie, Jian Zhang

Previous image steganography methods are limited in hiding capacity and robustness, commonly vulnerable to distortion on container images such as Gaussian noise, Poisson noise, and lossy compression.

Image Steganography

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

1 code implementation15 Jul 2021 Di You, Jian Zhang, Jingfen Xie, Bin Chen, Siwei Ma

In this paper, we propose a novel COntrollable Arbitrary-Sampling neTwork, dubbed COAST, to solve CS problems of arbitrary-sampling matrices (including unseen sampling matrices) with one single model.

Blocking Compressive Sensing

ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

1 code implementation22 Mar 2021 Di You, Jingfen Xie, Jian Zhang

While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene images in practical applications.

Blocking Compressive Sensing

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