Soft computing techniques for video de-interlacing

This paper presents the application of soft computing techniques to video processing. Especially, the research work has been focused on the de-interlacing task. It is necessary whenever the transmission standard uses an interlaced format but the receiver requires a progressive scanning, as happens i...

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Detalles Bibliográficos
Autores: Brox, Piedad, Baturone, Iluminada, Sánchez-Solano, Santiago
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2011
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/83344
Acceso en línea:http://hdl.handle.net/10261/83344
Access Level:acceso abierto
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spelling Soft computing techniques for video de-interlacingBrox, PiedadBaturone, IluminadaSánchez-Solano, SantiagoThis paper presents the application of soft computing techniques to video processing. Especially, the research work has been focused on the de-interlacing task. It is necessary whenever the transmission standard uses an interlaced format but the receiver requires a progressive scanning, as happens in consumer displays such as LCDs and plasma. A simple hierarchical solution that combines three simple fuzzy logic-based constituents (interpolators) is presented in this paper. Each interpolator is specialized in one of three key image features for de-interlacing: motion, edges, and possible repetition of picture areas. The resulting algorithm offers better results than others with less or similar computational cost. A very interesting result is that our algorithm is competitive with motion-compensated algorithms.This work was partially supported by MOBY-DIC project FP7-INFSO-ICT-248858 (www.mobydic-project.eu) from European Community, TEC2008- 04920 project from the Spanish Ministry of Science and Innovation, and by P08-TIC-03674 project from the Andalusian regional Government.Peer ReviewedInstitute of Electrical and Electronics Engineers2013201320112013info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/83344reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/FP7/248858http://dx.doi.org/10.1109/JSTSP.2010.2052346info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/833442026-05-22T06:33:51Z
dc.title.none.fl_str_mv Soft computing techniques for video de-interlacing
title Soft computing techniques for video de-interlacing
spellingShingle Soft computing techniques for video de-interlacing
Brox, Piedad
title_short Soft computing techniques for video de-interlacing
title_full Soft computing techniques for video de-interlacing
title_fullStr Soft computing techniques for video de-interlacing
title_full_unstemmed Soft computing techniques for video de-interlacing
title_sort Soft computing techniques for video de-interlacing
dc.creator.none.fl_str_mv Brox, Piedad
Baturone, Iluminada
Sánchez-Solano, Santiago
author Brox, Piedad
author_facet Brox, Piedad
Baturone, Iluminada
Sánchez-Solano, Santiago
author_role author
author2 Baturone, Iluminada
Sánchez-Solano, Santiago
author2_role author
author
description This paper presents the application of soft computing techniques to video processing. Especially, the research work has been focused on the de-interlacing task. It is necessary whenever the transmission standard uses an interlaced format but the receiver requires a progressive scanning, as happens in consumer displays such as LCDs and plasma. A simple hierarchical solution that combines three simple fuzzy logic-based constituents (interpolators) is presented in this paper. Each interpolator is specialized in one of three key image features for de-interlacing: motion, edges, and possible repetition of picture areas. The resulting algorithm offers better results than others with less or similar computational cost. A very interesting result is that our algorithm is competitive with motion-compensated algorithms.
publishDate 2011
dc.date.none.fl_str_mv 2011
2013
2013
2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
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info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/83344
url http://hdl.handle.net/10261/83344
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/FP7/248858
http://dx.doi.org/10.1109/JSTSP.2010.2052346
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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