Sparsity enforcing edge detection method for blurred and noisy Fourier data
type: Item
instance of: scholarly article
title: Sparsity enforcing edge detection method for blurred and noisy Fourier data
zbMATH Open document ID: 1244.65252
published in: Journal of Scientific Computing
publication date: 2012-06-13T00:00:00Z
full work available at URL: http://citeseerx.ist.psu.edu/viewdoc/summary
Mathematics Subject Classification ID: 65T40
Mathematics Subject Classification ID: 42A16
zbMATH DE Number: 6046076
zbMATH Keywords: edge detection
zbMATH Keywords: concentration factors
zbMATH Keywords: compressive sensing
zbMATH Keywords: partial Fourier data
zbMATH Keywords: higher order methods
zbMATH Keywords: sparseness
zbMATH Keywords: regularization
zbMATH Keywords: Fourier coefficient
zbMATH Keywords: jump function
zbMATH Keywords: Gibbs oscillation
zbMATH Keywords: deconvolution
zbMATH Keywords: numerical examples
author: Wolfgang Stefan
author: A. Viswanathan
author: Anne Gelb
author: R. A. Renaut
describes a project that uses: RecPF
describes a project that uses: SeDuMi
describes a project that uses: SDPT3
describes a project that uses: CVX
MaRDI profile type: Publication
OpenAlex ID: W2157847718
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DOI: 10.1007/S10915-011-9536-9
description: scientific article; zbMATH DE number 6046076