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dc.date.accessioned 2004-05-12T20:22:27Z
dc.date.available 2004-05-12T03:00:00Z
dc.date.issued 1999-03
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9377
dc.description.abstract In this paper two images compression techniques with loss based on the method used by the compression Standard Joint Photographic Experts Groups (JPEG) and on the Quadtree adaptive partitioning method are presented and compared, and the loss produced studied. The ba seline JPEG algorithm will be ana lyzed, and op timizations emphasizing quantification and not modifying the standard restrictions will be proposed. The results obtained from the generalization in classes of images with very different characteristics will be analyzed; and blocks size effect in conflicting areas such as the borders will be considered. en
dc.language en es
dc.subject Image processing software es
dc.subject Compression (Coding) es
dc.title JPEG with quadtree adaptive partitioning en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_01/jpeg.pdf es
sedici.identifier.issn 1666-6038 es
sedici.title.subtitle Loss analysis en
sedici.creator.person Russo, Claudia Cecilia es
sedici.creator.person Ramón, Hugo Dionisio es
sedici.creator.person De Giusti, Armando Eduardo es
sedici.creator.person Flores, Raúl Alberto 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-0000000243 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 1, 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)