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Poisson Inverse Problems by the Plug-and-Play scheme

Poisson Inverse Problems by the Plug-and-Play scheme

8 November 2015
A. Rond
Raja Giryes
Michael Elad
ArXiv (abs)PDFHTML

Papers citing "Poisson Inverse Problems by the Plug-and-Play scheme"

23 / 23 papers shown
Title
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey
  Paper --
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --
Michael Elad
Bahjat Kawar
Gregory Vaksman
98
82
0
09 Jan 2023
Alternative design of DeepPDNet in the context of image restoration
Alternative design of DeepPDNet in the context of image restoration
Mingyuan Jiu
N. Pustelnik
67
2
0
20 Feb 2022
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for
  Image Restoration
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration
Mikael Le Pendu
C. Guillemot
72
17
0
01 Oct 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Pravin Nair
Ruturaj G. Gavaskar
K. Chaudhury
94
39
0
21 Apr 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
264
237
0
23 Mar 2021
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to
  Inverse Imaging Problems
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Hua Huang
Carola-Bibiane Schönlieb
74
35
0
18 Nov 2020
Regularized Compression of MRI Data: Modular Optimization of Joint
  Reconstruction and Coding
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding
Veronica Corona
Yehuda Dar
Guy B. Williams
Carola-Bibiane Schönlieb
MedIm
44
0
0
08 Oct 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging
  Problems
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Carola-Bibiane Schönlieb
Hua Huang
80
105
0
22 Feb 2020
Investigating Customization Strategies and Convergence Behaviors of
  Task-specific ADMM
Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM
Risheng Liu
Pan Mu
Jin Zhang
50
6
0
24 Sep 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest K. Ryu
Jialin Liu
Sicheng Wang
Xiaohan Chen
Zhangyang Wang
W. Yin
AI4CE
89
354
0
14 May 2019
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Kai Zhang
W. Zuo
Lei Zhang
SupR
58
363
0
29 Mar 2019
DeepRED: Deep Image Prior Powered by RED
DeepRED: Deep Image Prior Powered by RED
G. Mataev
Michael Elad
P. Milanfar
SupR
94
196
0
25 Mar 2019
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing
  Perspective
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
Stanley H. Chan
81
58
0
31 Aug 2018
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising
Tal Remez
Or Litany
Raja Giryes
A. Bronstein
BDL
87
72
0
20 Aug 2018
Plug-and-Play Unplugged: Optimization Free Reconstruction using
  Consensus Equilibrium
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium
G. Buzzard
Stanley H. Chan
S. Sreehari
Charles A. Bouman
85
186
0
24 May 2017
Learning Convex Regularizers for Optimal Bayesian Denoising
Learning Convex Regularizers for Optimal Bayesian Denoising
H. Nguyen
E. Bostan
M. Unser
44
19
0
16 May 2017
MuLoG, or How to apply Gaussian denoisers to multi-channel SAR speckle
  reduction?
MuLoG, or How to apply Gaussian denoisers to multi-channel SAR speckle reduction?
Charles-Alban Deledalle
L. Denis
Sonia Tabti
F. Tupin
60
146
0
18 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing
  Inverse Imaging Problems
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
Tim Meinhardt
Michael Möller
C. Hazirbas
Daniel Cremers
103
357
0
11 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration
Learning Deep CNN Denoiser Prior for Image Restoration
Peng Sun
W. Zuo
Shuhang Gu
Lei Zhang
SupR
156
1,848
0
11 Apr 2017
Deep Class Aware Denoising
Deep Class Aware Denoising
Tal Remez
Or Litany
Raja Giryes
A. Bronstein
77
11
0
06 Jan 2017
Deep Convolutional Denoising of Low-Light Images
Deep Convolutional Denoising of Low-Light Images
Tal Remez
Or Litany
Raja Giryes
A. Bronstein
71
64
0
06 Jan 2017
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and
  Applications
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications
Stanley H. Chan
Xiran Wang
Omar A. Elgendy
82
772
0
05 May 2016
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse
  Interpolation
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
S. Sreehari
S. Venkatakrishnan
B. Wohlberg
L. Drummy
Jeff P. Simmons
Charles A. Bouman
113
344
0
23 Dec 2015
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