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Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and
  Applications

Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications

5 May 2016
Stanley H. Chan
Xiran Wang
Omar A. Elgendy
ArXivPDFHTML

Papers citing "Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications"

41 / 91 papers shown
Title
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
Goutam Bhat
Martin Danelljan
Radu Timofte
Kazutoshi Akita
Wooyeong Cho
...
Rao Muhammad Umer
Youliang Yan
Lei Yu
Magauiya Zhussip
X. Zou
SupR
22
38
0
07 Jun 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
46
37
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
40
225
0
23 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
R. Laumont
Valentin De Bortoli
Andrés Almansa
J. Delon
Alain Durmus
Marcelo Pereyra
24
109
0
08 Mar 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
49
181
0
16 Feb 2021
Optimization-Inspired Learning with Architecture Augmentations and
  Control Mechanisms for Low-Level Vision
Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision
Risheng Liu
Zhu Liu
Pan Mu
Xin-Yue Fan
Zhongxuan Luo
18
5
0
10 Dec 2020
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
J. Hertrich
Sebastian Neumayer
Gabriele Steidl
16
57
0
04 Nov 2020
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic
  Method using Deep Denoising Priors
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun
Jiaming Liu
Yiran Sun
B. Wohlberg
Ulugbek S. Kamilov
37
15
0
03 Oct 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
Zahra Kadkhodaie
Eero P. Simoncelli
32
82
0
27 Jul 2020
Determined BSS based on time-frequency masking and its application to
  harmonic vector analysis
Determined BSS based on time-frequency masking and its application to harmonic vector analysis
Kohei Yatabe
Daichi Kitamura
29
26
0
29 Apr 2020
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Xin Yuan
Yang Liu
J. Suo
Qionghai Dai
21
178
0
30 Mar 2020
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
Peng Sun
Luc Van Gool
Radu Timofte
SupR
116
539
0
23 Mar 2020
Blind Image Restoration without Prior Knowledge
Blind Image Restoration without Prior Knowledge
N. Elron
S. Yuval
Dmitry Rudoy
Noam Levy
23
6
0
03 Mar 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
21
103
0
22 Feb 2020
Deep Learning for space-variant deconvolution in galaxy surveys
Deep Learning for space-variant deconvolution in galaxy surveys
F. Sureau
Alexis Lechat
Jean-Luc Starck
3DPC
17
21
0
01 Nov 2019
Investigating Task-driven Latent Feasibility for Nonconvex Image
  Modeling
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling
Risheng Liu
Pan Mu
Jian Chen
Xin-Yue Fan
Zhongxuan Luo
38
25
0
18 Oct 2019
Momentum-Net: Fast and convergent iterative neural network for inverse
  problems
Momentum-Net: Fast and convergent iterative neural network for inverse problems
Il Yong Chun
Zhengyu Huang
Hongki Lim
Jeffrey A. Fessler
19
81
0
26 Jul 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
22
347
0
14 May 2019
Block Coordinate Regularization by Denoising
Block Coordinate Regularization by Denoising
Yu Sun
Jiaming Liu
Ulugbek S. Kamilov
30
82
0
13 May 2019
Deep Plug-and-play Prior for Low-rank Tensor Completion
Deep Plug-and-play Prior for Low-rank Tensor Completion
Xile Zhao
Wen-Hao Xu
Tai-Xiang Jiang
Yao Wang
Michael K. Ng
26
91
0
11 May 2019
Can learning from natural image denoising be used for seismic data
  interpolation?
Can learning from natural image denoising be used for seismic data interpolation?
Hao Zhang
Xiuyan Yang
Jianwei Ma
19
70
0
27 Feb 2019
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play
  Restoration
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration
V. S. Unni
Sanjay Ghosh
K. Chaudhury
14
16
0
18 Jan 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate
  Non-convex Optimization
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization
Yiyang Wang
Risheng Liu
Long Ma
Xiaoliang Song
22
2
0
05 Nov 2018
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
Yu Sun
Shiqi Xu
Yunzhe Li
Lei Tian
B. Wohlberg
Ulugbek S. Kamilov
22
44
0
31 Oct 2018
Convolutional Deblurring for Natural Imaging
Convolutional Deblurring for Natural Imaging
Mahdi S. Hosseini
Konstantinos N. Plataniotis
11
36
0
25 Oct 2018
On the Convergence of Learning-based Iterative Methods for Nonconvex
  Inverse Problems
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems
Risheng Liu
Shichao Cheng
Yi He
Xin-Yue Fan
Zhouchen Lin
Zhongxuan Luo
24
68
0
16 Aug 2018
Compressed Sensing with Deep Image Prior and Learned Regularization
Compressed Sensing with Deep Image Prior and Learned Regularization
Dave Van Veen
A. Jalal
Mahdi Soltanolkotabi
Eric Price
S. Vishwanath
A. Dimakis
33
178
0
17 Jun 2018
Acceleration of RED via Vector Extrapolation
Acceleration of RED via Vector Extrapolation
Tao Hong
Yaniv Romano
Michael Elad
14
16
0
06 May 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging
  Problems
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Franziska Schirrmacher
Thomas Köhler
Christian Riess
14
5
0
06 Apr 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler
Philip Schniter
Ashok Veeraraghavan
Richard G. Baraniuk
OOD
31
168
0
01 Mar 2018
Denoising Prior Driven Deep Neural Network for Image Restoration
Denoising Prior Driven Deep Neural Network for Image Restoration
W. Dong
Peiyao Wang
W. Yin
Guangming Shi
Fangfang Wu
Xiaotong Lu
SupR
39
417
0
21 Jan 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
48
997
0
07 Dec 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta
Kyong Hwan Jin
H. Nguyen
Michael T. McCann
M. Unser
3DV
35
361
0
06 Sep 2017
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
18
183
0
24 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
13
145
0
18 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
53
1,831
0
11 Apr 2017
Deeply Aggregated Alternating Minimization for Image Restoration
Deeply Aggregated Alternating Minimization for Image Restoration
Youngjung Kim
Hyungjoo Jung
Dongbo Min
Kwanghoon Sohn
13
30
0
20 Dec 2016
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
20
9
0
23 Sep 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
21
339
0
23 Dec 2015
Deconvolving Images with Unknown Boundaries Using the Alternating
  Direction Method of Multipliers
Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers
Mariana S. C. Almeida
Mário A. T. Figueiredo
47
159
0
09 Oct 2012
Poisson noise reduction with non-local PCA
Poisson noise reduction with non-local PCA
Joseph Salmon
Zachary T. Harmany
Charles-Alban Deledalle
Rebecca Willett
60
313
0
02 Jun 2012
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