Multi-Scale Deep Compressive Imaging (original) (raw)

Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm

Ali Mousavi

ArXiv, 2017

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Learned D-AMP: Principled Neural Network based Compressive Image Recovery

Ali Mousavi

2017

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MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)

Richard M. Dansereau

arXiv (Cornell University), 2024

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Effective Image Reconstruction Using Various Compressed Sensing Techniques

Dr. Jami Venkata Suman

IEEE Conference , 2024

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Fast Reconstruction of 1D Compressive Sensing Data Using a Deep Neural Network

Richard M. Dansereau

International Journal of Signal Processing Systems, 2020

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Dual-Path Image Reconstruction: Bridging Vision Transformer and Perceptual Compressive Sensing Networks

Zakaria BAIRI

Computer Science and Information Systems (FedCSIS), 2019 Federated Conference on, 2023

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Fully Learnable Model for Task-Driven Image Compressed Sensing

XIANGNAN REN

2021

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Error Resilient Deep Compressive Sensing

The Trinh Van

The 11th International Symposium on Information and Communication Technology

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Multi-scale/Multi-resolution Kronecker compressive imaging

Thuong Nguyen Canh

To be Published in IEEE International Conference Image Processing (ICIP) 2015

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Sparse representation using compressed sensing via deep learning

Safish Mary

2020

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Compressive image recovery using recurrent generative model

Akshat Dave

2017 IEEE International Conference on Image Processing (ICIP), 2017

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Learning to invert: Signal recovery via Deep Convolutional Networks

Ali Mousavi

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

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Compressive Non-Line-of-Sight Imaging with Deep Learning

Shenyu Zhu

Physical Review Applied

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Hyperspectral Compressive Image Reconstruction With Deep Tucker Decomposition and Spatial–Spectral Learning Network

Byeungwoo Jeon

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing

Charles Zhou

2020 IEEE 20th International Conference on Communication Technology (ICCT), 2020

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A deep error correction network for compressed sensing MRI

Salik Hussain

BMC Biomedical Engineering, 2020

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Compressive Domain Deep CNN for Image Classification and Performance Improvement Using Genetic Algorithm-Based Sensing Mask Learning

BABA FAKRUDDIN ALI B H 20PHD0910

Applied Sciences

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Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

S R Nirmala

IEEE transactions on medical imaging, 2018

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Practical compressive sensing of large images

Adrian Stern

2009 16th International Conference on Digital Signal Processing, 2009

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Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

Enhao Gong

IEEE Transactions on Medical Imaging, 2019

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End-to-End Video Compressive Sensing Using Anderson-Accelerated Unrolled Networks

Ryan Ortega

2020 IEEE International Conference on Computational Photography (ICCP), 2020

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Imaging via three-dimensional compressive sampling (3DCS)

Xianbiao Shu

2011 International Conference on Computer Vision, 2011

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Super-resolution MRI images using Compressive Sensing

Mohammad Rahmati

20th Iranian Conference on Electrical Engineering (ICEE2012), 2012

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A Novel Image Compressive Sensing Method Based on Complex Measurements

Jeffrey Soar

2011 International Conference on Digital Image Computing: Techniques and Applications, 2011

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Distributed Compressive Sensing: A Deep Learning Approach

Rabab Ward

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Multi-wavelet level comparison on compressive sensing for MRI image reconstruction

yuli sun hariyani

Bulletin of Electrical Engineering and Informatics

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Compressive sensing reconstruction via decomposition

Byeungwoo Jeon

Signal Processing-image Communication, 2016

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DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

Xujiong Ye

IEEE transactions on medical imaging, 2018

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Hybrid Parallel Imaging and Compressed Sensing MRI Reconstruction with GRAPPA Integrated Multi-loss Supervised GAN

Md.Farhan Sadik

2022

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Single image super-resolution using compressive sensing with learned overcomplete dictionary

Kanchan Gorain

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013

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A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction

Rupali Raut

Diagnostics

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High Resolution Image Reconstruction Using Fast Compressed Sensing Based on Iterations

Sameer Sheikh

WSEAS Transactions on Signal Processing archive, 2018

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Characterization of a compressive imaging system using laboratory and natural light scenes

Stephen Olivas

Applied Optics, 2013

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Deep-learned orthogonal basis patterns for fast, noise-robust single-pixel imaging

Damian Dailisan

2022

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Sparse-View Spectral CT Reconstruction Using Deep Learning

Christian Kehl

2020

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