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A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

IEEE transactions on image processing, 2007-12, Vol.16 (12), p.2992-3004

2007

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A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising

IEEE transactions on image processing, 2019-01, Vol.28 (1), p.451-463

2019

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Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

IEEE journal of selected topics in signal processing, 2007-12, Vol.1 (4), p.586-597

2007

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Fast Image Recovery Using Variable Splitting and Constrained Optimization

IEEE transactions on image processing, 2010-09, Vol.19 (9), p.2345-2356

2010

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An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

IEEE transactions on image processing, 2011-03, Vol.20 (3), p.681-695

2011

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Image restoration and reconstruction using variable splitting and class-adapted image priors

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.3518-3522

2016

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Class-specific Interferometric Phase Estimation Using Patch-based Importance Sampling

IEEE access, 2020-01, Vol.8, p.1-1

2020

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SURE-Fuse WFF: A Multi-Resolution Windowed Fourier Analysis for Interferometric Phase Denoising

IEEE access, 2019, Vol.7, p.120708-120723

2019

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Blind image deblurring using class-adapted image priors

2017 IEEE International Conference on Image Processing (ICIP), 2017, p.490-494

2017

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An iterative algorithm for linear inverse problems with compound regularizers

2008 15th IEEE International Conference on Image Processing, 2008, p.685-688

2008

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Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization

2007 IEEE International Conference on Image Processing, 2007, Vol.1, p.I - 105-I - 108

2007

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Maximum-a-posteriori estimation with unknown regularisation parameters

2015 23rd European Signal Processing Conference (EUSIPCO), 2015, p.230-234

2015

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Teaching a new trick to an old dog: Revisiting the quadratic programming formulation of sparse recovery using ADMM

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.1512-1516

Figueiredo, Mário A. T.

2014

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Group-sparse matrix recovery

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.7153-7157

2014

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A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.4034-4037

2010

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An augmented Lagrangian approach to linear inverse problems with compound regularization

2010 IEEE International Conference on Image Processing, 2010, p.4169-4172

2010

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Fast frame-based image deconvolution using variable splitting and constrained optimization

2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 2009, p.109-112

2009

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Robust sparsity and clustering regularization for regression

2014 22nd European Signal Processing Conference (EUSIPCO), 2014, p.1776-1780

2014

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A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

Fast Image Recovery Using Variable Splitting and Constrained Optimization

An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

Image restoration and reconstruction using variable splitting and class-adapted image priors

Class-specific Interferometric Phase Estimation Using Patch-based Importance Sampling

SURE-Fuse WFF: A Multi-Resolution Windowed Fourier Analysis for Interferometric Phase Denoising

Blind image deblurring using class-adapted image priors

An iterative algorithm for linear inverse problems with compound regularizers

Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization

Maximum-a-posteriori estimation with unknown regularisation parameters

Teaching a new trick to an old dog: Revisiting the quadratic programming formulation of sparse recovery using ADMM

Group-sparse matrix recovery

A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems

An augmented Lagrangian approach to linear inverse problems with compound regularization

Fast frame-based image deconvolution using variable splitting and constrained optimization

Robust sparsity and clustering regularization for regression

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