Publikation: Performance of reconstruction-based super-resolution with regularization
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
From the perspective of linear algebra, the performance of super-resolution reconstruction (SR) depends on the conditioning of the linear system characterizing the degradation model. This is analyzed in the Fourier domain using the perturbation theory. By proposing a new SR error bound in terms of the point spread function (PSF), we reveal that the blur function dominates the condition number (CN) of degradation matrix, and the advantage of non-integer magnification factors (MFs) over the integer ones comes from sampling zero crossings of the DFT of the PSF. We also explore the effect of regularization by integrating it into the SR model, and investigate the influence of the optimal regularization parameter. A tighter error bound is derived given the optimal regularization parameter. Two curves of error bounds vs. MFs are presented, and verified by processing real images. It explains that with proper regularization, SR at the integer MFs is still valid.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
SHEN, Minmin, Ci WANG, Ping XUE, Weisi LIN, 2010. Performance of reconstruction-based super-resolution with regularization. In: Journal of Visual Communication and Image Representation. 2010, 21(7), pp. 640-650. ISSN 1047-3203. Available under: doi: 10.1016/j.jvcir.2010.04.003BibTex
@article{Shen2010Perfo-30505, year={2010}, doi={10.1016/j.jvcir.2010.04.003}, title={Performance of reconstruction-based super-resolution with regularization}, number={7}, volume={21}, issn={1047-3203}, journal={Journal of Visual Communication and Image Representation}, pages={640--650}, author={Shen, Minmin and Wang, Ci and Xue, Ping and Lin, Weisi} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/30505"> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-24T08:42:35Z</dc:date> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30505"/> <dc:creator>Xue, Ping</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-24T08:42:35Z</dcterms:available> <dc:creator>Lin, Weisi</dc:creator> <dcterms:title>Performance of reconstruction-based super-resolution with regularization</dcterms:title> <dc:contributor>Wang, Ci</dc:contributor> <dcterms:issued>2010</dcterms:issued> <dc:creator>Shen, Minmin</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:abstract xml:lang="eng">From the perspective of linear algebra, the performance of super-resolution reconstruction (SR) depends on the conditioning of the linear system characterizing the degradation model. This is analyzed in the Fourier domain using the perturbation theory. By proposing a new SR error bound in terms of the point spread function (PSF), we reveal that the blur function dominates the condition number (CN) of degradation matrix, and the advantage of non-integer magnification factors (MFs) over the integer ones comes from sampling zero crossings of the DFT of the PSF. We also explore the effect of regularization by integrating it into the SR model, and investigate the influence of the optimal regularization parameter. A tighter error bound is derived given the optimal regularization parameter. Two curves of error bounds vs. MFs are presented, and verified by processing real images. It explains that with proper regularization, SR at the integer MFs is still valid.</dcterms:abstract> <dc:contributor>Xue, Ping</dc:contributor> <dc:language>eng</dc:language> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:contributor>Lin, Weisi</dc:contributor> <dc:contributor>Shen, Minmin</dc:contributor> <dc:creator>Wang, Ci</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> </rdf:Description> </rdf:RDF>