Image denoising using the squared eigenfunctions of the Schrodinger operator

Handle URI:
http://hdl.handle.net/10754/344040
Title:
Image denoising using the squared eigenfunctions of the Schrodinger operator
Authors:
Kaisserli, Zineb; Laleg-Kirati, Taous-Meriem ( 0000-0001-5944-0121 )
Abstract:
This study introduces a new image denoising method based on the spectral analysis of the semi-classical Schrodinger operator. The noisy image is considered as a potential of the Schrodinger operator, and the denoised image is reconstructed using the discrete spectrum of this operator. First results illustrating the performance of the proposed approach are presented and compared to the singular value decomposition method.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Issue Date:
2-Feb-2015
Type:
Article
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKaisserli, Zineben
dc.contributor.authorLaleg-Kirati, Taous-Meriemen
dc.date.accessioned2015-02-02T12:45:04Z-
dc.date.available2015-02-02T12:45:04Z-
dc.date.issued2015-02-02en
dc.identifier.urihttp://hdl.handle.net/10754/344040en
dc.description.abstractThis study introduces a new image denoising method based on the spectral analysis of the semi-classical Schrodinger operator. The noisy image is considered as a potential of the Schrodinger operator, and the denoised image is reconstructed using the discrete spectrum of this operator. First results illustrating the performance of the proposed approach are presented and compared to the singular value decomposition method.en
dc.language.isoenen
dc.subjectImage denoisingen
dc.subjectSchrodinger operatoren
dc.subjectDiscrete spectrumen
dc.subjectSquared eigenfunctionsen
dc.titleImage denoising using the squared eigenfunctions of the Schrodinger operatoren
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.eprint.versionPre-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.