Stopping rules for a nonnegatively constrained iterative method for ill-posed Poisson imaging problems
type: Item
instance of: scholarly article
title: Stopping rules for a nonnegatively constrained iterative method for ill-posed Poisson imaging problems
zbMATH Open document ID: 1162.65332
author: Johnathan M. Bardsley
published in: BIT
publication date: 2009-04-29T00:00:00Z
Mathematics Subject Classification ID: 65F22
Mathematics Subject Classification ID: 65F20
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 5549588
zbMATH Keywords: iterative methods
zbMATH Keywords: image reconstruction
zbMATH Keywords: regularization
zbMATH Keywords: statistical methods
zbMATH Keywords: numerical examples
zbMATH Keywords: charge coupled device camera
zbMATH Keywords: weighted least squares approximation
zbMATH Keywords: Poisson likelihood function
zbMATH Keywords: image deblurring algorithm
zbMATH Keywords: stopping rules
describes a project that uses: RestoreTools
MaRDI profile type: Publication
full work available at URL: s10543-008-0196-6
OpenAlex ID: W2143153202
cites work: Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging
cites work: Q3512621
cites work: Rank-Deficient and Discrete Ill-Posed Problems
cites work: Q5578503
cites work: Iterative methods for image deblurring: A Matlab object-oriented approach
cites work: Convergence criteria for iterative restoration methods
cites work: Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy
DOI: 10.1007/S10543-008-0196-6
description: scientific article; zbMATH DE number 5549588