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dc.date.accessioned 2004-02-06T18:23:16Z
dc.date.available 2004-08-10T03:00:00Z
dc.date.issued 2003-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9456
dc.description.abstract Multiwavelets are new addition to the body of wavelet theory. There are many types of symmetric multiwavelets such as Geronimo-Hardin-Massopust (GHM) and Chui-Lian (CL) multiwavelets. However, the matrix filter generating the GHM system multiwavelets does not satisfy the symmetric property. For this reason, this paper presents a new method to construct the symmetric orthogonal matrix filter, which leads to the symmetric orthogonal multiwavelets (SOM). Moreover, we analyze the prefilter technique, corresponding to the symmetric orthogonal matrix filter, to get a good combining frequency response. To prove the good property of SOM in image compression application, we compared the compression effect with other writers' work, which was in published literature. en
dc.format.extent 47-53 es
dc.language en es
dc.subject Compression (Coding) es
dc.subject IMAGE PROCESSING AND COMPUTER VISION es
dc.title Application of symmetric orthogonal multiwavelets and prefilter technique for image compression en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr03-8.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Chen, Jiazhong es
sedici.creator.person Zhou, Jingli es
sedici.creator.person Yu, Shengsheng es
sedici.creator.person Xiao, Qian es
sedici.creator.person Xu, Jun 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-0000000078 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 3, no. 1 es


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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)