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A SURE Approach for Digital Signal/Image Deconvolution Problems

A SURE Approach for Digital Signal/Image Deconvolution Problems

27 October 2008
J. Pesquet
A. Benazza-Benyahia
C. Chaux
ArXivPDFHTML

Papers citing "A SURE Approach for Digital Signal/Image Deconvolution Problems"

6 / 6 papers shown
Title
Automated data-driven selection of the hyperparameters for
  Total-Variation based texture segmentation
Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation
Barbara Pascal
Samuel Vaiter
N. Pustelnik
P. Abry
30
18
0
20 Apr 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
A Variational Bayesian Approach for Image Restoration. Application to
  Image Deblurring with Poisson-Gaussian Noise
A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise
Y. Marnissi
Yuling Zheng
Émilie Chouzenoux
J. Pesquet
16
39
0
24 Oct 2016
Bayesian selection for the l2-Potts model regularization parameter: 1D
  piecewise constant signal denoising
Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising
Jordan Frécon
N. Pustelnik
N. Dobigeon
H. Wendt
P. Abry
6
11
0
27 Aug 2016
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple
  parameter selection
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection
Charles-Alban Deledalle
Samuel Vaiter
M. Fadili
Gabriel Peyré
42
117
0
06 May 2014
Local Behavior of Sparse Analysis Regularization: Applications to Risk
  Estimation
Local Behavior of Sparse Analysis Regularization: Applications to Risk Estimation
Samuel Vaiter
Charles-Alban Deledalle
Gabriel Peyré
C. Dossal
Jalal Fadili
80
41
0
14 Apr 2012
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