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Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian
  Mixture Models to Structured Sparsity

Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

15 June 2010
Guoshen Yu
Guillermo Sapiro
S. Mallat
ArXiv (abs)PDFHTML

Papers citing "Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity"

48 / 98 papers shown
Title
A Bayesian Hyperprior Approach for Joint Image Denoising and
  Interpolation, with an Application to HDR Imaging
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging
Cecilia Aguerrebere
Andrés Almansa
J. Delon
Y. Gousseau
Pablo Musé
57
37
0
10 Jun 2017
Model-based Iterative Restoration for Binary Document Image Compression
  with Dictionary Learning
Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning
Yandong Guo
Cheng Lu
J. Allebach
Charles A. Bouman
23
8
0
24 Apr 2017
On the Global-Local Dichotomy in Sparsity Modeling
On the Global-Local Dichotomy in Sparsity Modeling
Dmitry Batenkov
Yaniv Romano
Michael Elad
67
15
0
11 Feb 2017
Scene-adapted plug-and-play algorithm with convergence guarantees
Scene-adapted plug-and-play algorithm with convergence guarantees
Afonso M. Teodoro
J. Bioucas-Dias
Mário A. T. Figueiredo
23
2
0
08 Feb 2017
Block-wise Lensless Compressive Camera
Block-wise Lensless Compressive Camera
M. Essadki
Gang Huang
Hong Jiang
V. Perrier
53
8
0
19 Jan 2017
Dictionary Learning from Incomplete Data
Dictionary Learning from Incomplete Data
Valeriya Naumova
Karin Schnass
57
11
0
13 Jan 2017
Deep Class Aware Denoising
Deep Class Aware Denoising
Tal Remez
Or Litany
Raja Giryes
A. Bronstein
68
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
69
64
0
06 Jan 2017
Image denoising using group sparsity residual and external nonlocal
  self-similarity prior
Image denoising using group sparsity residual and external nonlocal self-similarity prior
Zhiyuan Zha
Xinggan Zhang
Qiong Wang
Yechao Bai
Lan Tang
64
12
0
03 Jan 2017
The Little Engine that Could: Regularization by Denoising (RED)
The Little Engine that Could: Regularization by Denoising (RED)
Yaniv Romano
Michael Elad
P. Milanfar
DiffM
119
805
0
09 Nov 2016
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
59
9
0
23 Sep 2016
Poisson Noise Reduction with Higher-order Natural Image Prior Model
Poisson Noise Reduction with Higher-order Natural Image Prior Model
Wensen Feng
Hong Qiao
Yunjin Chen
55
6
0
19 Sep 2016
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second
  Order Statistics
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics
Friederike Laus
M. Nikolova
Johannes Persch
Gabriele Steidl
72
31
0
28 Jul 2016
Generic 3D Convolutional Fusion for image restoration
Generic 3D Convolutional Fusion for image restoration
Jiqing Wu
Radu Timofte
Luc Van Gool
SupR
42
6
0
26 Jul 2016
RAISR: Rapid and Accurate Image Super Resolution
RAISR: Rapid and Accurate Image Super Resolution
Yaniv Romano
J. Isidoro
P. Milanfar
SupR
73
262
0
03 Jun 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in
  Inverse Problems
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Raja Giryes
Yonina C. Eldar
A. Bronstein
Guillermo Sapiro
72
85
0
30 May 2016
Image Restoration with Locally Selected Class-Adapted Models
Image Restoration with Locally Selected Class-Adapted Models
Afonso M. Teodoro
J. Bioucas-Dias
Mário A. T. Figueiredo
DiffM
53
552
0
23 May 2016
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with
  Applications to Low-Dose X-ray CT
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT
Ruoqiao Zhang
Dong Hye Ye
D. Pal
Jean-Baptiste Thibault
K. Sauer
Charles A. Bouman
36
31
0
12 May 2016
Patch-Ordering as a Regularization for Inverse Problems in Image
  Processing
Patch-Ordering as a Regularization for Inverse Problems in Image Processing
Gregory Vaksman
M. Zibulevsky
Michael Elad
25
0
0
26 Feb 2016
Image Restoration and Reconstruction using Variable Splitting and
  Class-adapted Image Priors
Image Restoration and Reconstruction using Variable Splitting and Class-adapted Image Priors
Afonso M. Teodoro
J. Bioucas-Dias
Mário A. T. Figueiredo
103
77
0
12 Feb 2016
Adaptive Image Denoising by Mixture Adaptation
Adaptive Image Denoising by Mixture Adaptation
Enming Luo
Stanley H. Chan
Truong Thao Nguyen
68
61
0
19 Jan 2016
Blind Image Denoising via Dependent Dirichlet Process Tree
Blind Image Denoising via Dependent Dirichlet Process Tree
Fengyuan Zhu
Guangyong Chen
Jianye Hao
Pheng-Ann Heng
33
18
0
13 Jan 2016
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model
  Perspective
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective
Stanley H. Chan
Todd E. Zickler
Yue M. Lu
44
10
0
01 Jan 2016
Estimation of the sample covariance matrix from compressive measurements
Estimation of the sample covariance matrix from compressive measurements
Farhad Pourkamali-Anaraki
17
18
0
30 Dec 2015
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning
  and Applications
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications
Bihan Wen
S. Ravishankar
Y. Bresler
81
43
0
19 Nov 2015
Poisson Inverse Problems by the Plug-and-Play scheme
Poisson Inverse Problems by the Plug-and-Play scheme
A. Rond
Raja Giryes
Michael Elad
99
130
0
08 Nov 2015
Compressive Sensing via Low-Rank Gaussian Mixture Models
Compressive Sensing via Low-Rank Gaussian Mixture Models
Xin Yuan
Hong Jiang
Gang Huang
P. Wilford
67
11
0
27 Aug 2015
The Role of Principal Angles in Subspace Classification
The Role of Principal Angles in Subspace Classification
Jiaji Huang
Qiang Qiu
Robert Calderbank
47
16
0
15 Jul 2015
Unsupervised Decision Forest for Data Clustering and Density Estimation
Unsupervised Decision Forest for Data Clustering and Density Estimation
Hayder Albehadili
N. Islam
30
1
0
15 Jul 2015
Geometry-Aware Neighborhood Search for Learning Local Models for Image
  Reconstruction
Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction
J. C. Ferreira
Elif Vural
C. Guillemot
37
7
0
06 May 2015
Compressive Hyperspectral Imaging with Side Information
Compressive Hyperspectral Imaging with Side Information
Xin Yuan
Tsung-Han Tsai
Ruoyu Zhu
P. Llull
D. Brady
Lawrence Carin
63
164
0
22 Feb 2015
Boosting of Image Denoising Algorithms
Boosting of Image Denoising Algorithms
Yaniv Romano
Michael Elad
102
143
0
22 Feb 2015
Classification and Reconstruction of High-Dimensional Signals from
  Low-Dimensional Features in the Presence of Side Information
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information
F. Renna
Liming Wang
Xin Yuan
Jianbo Yang
Galen Reeves
Robert Calderbank
Lawrence Carin
M. Rodrigues
72
45
0
01 Dec 2014
Sparse Modeling for Image and Vision Processing
Sparse Modeling for Image and Vision Processing
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
104
491
0
12 Nov 2014
Single Image Super Resolution via Manifold Approximation
Chinh T. Dang
H. Radha
SupR
20
2
0
13 Oct 2014
Recent Progress in Image Deblurring
Recent Progress in Image Deblurring
Ruxin Wang
Dacheng Tao
84
101
0
24 Sep 2014
Adaptive Image Denoising by Targeted Databases
Adaptive Image Denoising by Targeted Databases
Enming Luo
Stanley H. Chan
Truong Thao Nguyen
130
110
0
30 Jun 2014
Fast and Robust Archetypal Analysis for Representation Learning
Fast and Robust Archetypal Analysis for Representation Learning
Yuansi Chen
Julien Mairal
Zaïd Harchaoui
76
99
0
26 May 2014
Low-Cost Compressive Sensing for Color Video and Depth
Low-Cost Compressive Sensing for Color Video and Depth
Xin Yuan
P. Llull
X. Liao
Jianbo Yang
Guillermo Sapiro
D. Brady
Lawrence Carin
73
103
0
27 Feb 2014
Sparsity Based Poisson Denoising with Dictionary Learning
Sparsity Based Poisson Denoising with Dictionary Learning
Raja Giryes
Michael Elad
133
114
0
17 Sep 2013
A Framework for the Analysis of Computational Imaging Systems with
  Practical Applications
A Framework for the Analysis of Computational Imaging Systems with Practical Applications
Kaushik Mitra
O. Cossairt
Ashok Veeraraghavan
61
31
0
08 Aug 2013
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
Yue Huang
John Paisley
Qin Lin
Xinghao Ding
Xueyang Fu
Xiao-Ping Zhang
MedIm
111
134
0
12 Feb 2013
Image Processing using Smooth Ordering of its Patches
Image Processing using Smooth Ordering of its Patches
I. Ram
Michael Elad
Israel Cohen
106
183
0
14 Oct 2012
Online Adaptive Statistical Compressed Sensing of Gaussian Mixture
  Models
Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models
J. Duarte-Carvajalino
Guillermo Sapiro
Guoshen Yu
Lawrence Carin
47
8
0
26 Dec 2011
Statistical Compressed Sensing of Gaussian Mixture Models
Statistical Compressed Sensing of Gaussian Mixture Models
Guoshen Yu
Guillermo Sapiro
128
87
0
30 Jan 2011
Statistical Compressive Sensing of Gaussian Mixture Models
Statistical Compressive Sensing of Gaussian Mixture Models
Guoshen Yu
Guillermo Sapiro
85
16
0
20 Oct 2010
Efficient Matrix Completion with Gaussian Models
Efficient Matrix Completion with Gaussian Models
F. Léger
Guoshen Yu
Guillermo Sapiro
115
23
0
19 Oct 2010
Universal Regularizers For Robust Sparse Coding and Modeling
Universal Regularizers For Robust Sparse Coding and Modeling
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
90
43
0
15 Mar 2010
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