Subir material

Suba sus trabajos a SEDICI, para mejorar notoriamente su visibilidad e impacto

 

Mostrar el registro sencillo del ítem

dc.date.accessioned 2008-05-21T19:08:58Z
dc.date.available 2008-05-21T03:00:00Z
dc.date.issued 2005-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9506
dc.description.abstract In some cases, low resolution of those images composing a video film hinders the proper visual interpretation of its data. A typical example of this is video obtained from security cameras. There thus exists the need to count with some method allowing the processing of such information in order to obtain a better quality and a higher level of detail of those images. This gives rise to the possibility of making a more reliable interpretation of images, all of which eases the determination of, for example, some people face features or a car plate numbers. Nowadays, there exist some techniques that are related to this topic (called Image Super- Resolution techniques), though in the theoretical field in principle. Besides, there is no integral solution presented as integral product for its utilization. This paper presents the preliminary results of the Super-Resolution techniques applied to video sequences with the possibility of using quality enhancement preprocessing in each individual image. en
dc.format.extent 30-36 es
dc.language en es
dc.subject IMAGE PROCESSING AND COMPUTER VISION es
dc.subject Resolution es
dc.title High resolution images from low resolution video sequences en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr05-61.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Cristina, Federico es
sedici.creator.person Dapoto, Sebastián H. es
sedici.creator.person Russo, Claudia Cecilia es
sedici.creator.person Bria, Oscar N. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000572 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 5, no. 1 es


Descargar archivos

Este ítem aparece en la(s) siguiente(s) colección(ones)

Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)