A self-referencing level-set method for image reconstruction from sparse Fourier samples
type: Item
instance of: scholarly article
title: A self-referencing level-set method for image reconstruction from sparse Fourier samples
zbMATH Open document ID: 1012.68783
DOI: 10.1023/A:1020822324006
author: Jong Chul Ye
author: Yoram Bresler
author: Pierre Moulin
published in: International Journal of Computer Vision
publication date: 2003-02-19T00:00:00Z
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 92C55
zbMATH DE Number: 1871496
zbMATH Keywords: inverse problems
zbMATH Keywords: Fourier imaging
zbMATH Keywords: medical imaging
zbMATH Keywords: partial-data
zbMATH Keywords: level-set
zbMATH Keywords: geometry-driven diffusion
MaRDI profile type: Publication
full work available at URL: a:1020822324006
OpenAlex ID: W2777700417
description: scientific article; zbMATH DE number 1871496