SWDGAN: GAN-based sampling and whole image denoising network for compressed sensing image reconstruction-Reference-Cited by-同舟云学术

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SWDGAN: GAN-based sampling and whole image denoising network for compressed sensing image reconstruction

Published:2021-12-01 Issue:06 Volume:30 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Tian Ye¹,Chai Xiuli¹,Gan Zhihua²,Lu Yang¹,Zhang Yushu³,Song Shiping¹

Affiliation:

1. Henan University, School of Artificial Intelligence, Kaifeng

2. Henan University, Institute of Intelligent Network System, School of Software, Intelligent Data Proc

3. Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanj

Funder

National Natural Science Foundation of China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PAS-GAN: A GAN based on the Pyramid Across-Scale module for visible-infrared image transformation;Infrared Physics & Technology;2024-06

2. Improving image super-resolution with structured knowledge distillation-based multimodal denoising diffusion probabilistic model;Journal of Electronic Imaging;2024-05-02

3. CSENMT: A deep image compressed sensing encryption network via multi-color space and texture feature;Expert Systems with Applications;2024-05

4. MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS);IET Signal Processing;2024-01-18

5. STP-DEQ-Net: A Deep Equilibrium Model Based on ISTA Method for Image Compressive Sensing;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29

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