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On Sparsity Maximization in Tomographic Particle Image Reconstruction

Petra, Stefania and Schröder, Andreas and Wieneke, Bernhard and Schnörr, Christoph (2009) On Sparsity Maximization in Tomographic Particle Image Reconstruction. In: Pattern Recognition Lecture Notes In Computer Science, Vol. 5096. Springer-Verlag Berlin, Heidelberg. pp. 294-303. ISBN 978-3-540-69320-8.

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Official URL: http://www.springer.com

Abstract

This work focuses on tomographic image reconstruction in experimental fluid mechanics (TomoPIV), a recently established 3D particle image velocimetry technique. Corresponding 2D image sequences (projections) and the 3D reconstruction via tomographical methods provides the basis for estimating turbulent flows and related flow patterns through image processing. TomoPIV employs undersampling to make the high-speed imaging process feasible, resulting in an ill-posed image reconstruction problem. We address the corresponding basic problems involved and point out promising optimization criteria for reconstruction based on sparsity maximization, that perform favorably in comparison to classical algebraic methods currently in use for TomoPIV.

Document Type:Contribution to a Collection
Additional Information:Year of Publication: 2008
Title:On Sparsity Maximization in Tomographic Particle Image Reconstruction
Authors:
AuthorsInstitution or Email of Authors
Petra, StefaniaUniversity of Heidelberg, Germany
Schröder, Andreasandreas.schroeder@dlr.de
Wieneke, BernhardLaVision GmbH, Göttingen, Germany
Schnörr, ChristophUniversity of Heidelberg, Germany
Date:2009
Journal or Publication Title:Pattern Recognition
Refereed publication:Yes
In ISI Web of Science:No
Volume:Vol. 5096
DOI:10.1007/978-3-540-69321-5_30
Page Range:pp. 294-303
Publisher:Springer-Verlag Berlin, Heidelberg
Series Name:Lecture Notes In Computer Science
ISBN:978-3-540-69320-8
Status:Published
Keywords:TomoPIV, image reconstruction, sparsity
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Flight Physics
Location: Göttingen
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > Experimental Methods
Deposited By: Ilka Micknaus
Deposited On:09 Apr 2009
Last Modified:27 Jul 2009 10:51

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