Sistemas distribuídos aplicados à compressão e recuperação de imagens

dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:29:21Z
dc.date.available2014-05-20T13:29:21Z
dc.date.created2014-05-20T13:29:21Z
dc.date.issued2008-01-01
dc.identifierActa Scientiarum-technology. Maringa: Universidade Estadual de Maringá (UEM), Pro-reitoria Pesquisa Pos-graduacao, v. 30, n. 1, p. 1-7, 2008.
dc.identifier1806-2563
dc.identifierhttp://hdl.handle.net/11449/9881
dc.identifier10.4025/actascitechnol.v30i1.3178
dc.identifierWOS:000259929600001
dc.identifierWOS000259929600001.pdf
dc.identifier9387430150792972
dc.description.abstractDigital image processing is a field that demands great processing capacity. As such it becomes relevant to implement software that is based on the distribution of the processing into several nodes divided by computers belonging to the same network. Specifically discussed in this work are distributed algorithms of compression and expansion of images using the discrete cosine transform. The results show that the savings in processing time obtained due to the parallel algorithms in comparison to its sequential equivalents is a function that depends on the resolution of the image and the complexity of the involved calculation; that is efficiency is greater the longer the processing period is in terms of the time involved for the communication between the network points.
dc.languagepor
dc.publisherUniversidade Estadual de Maringá (UEM), Pro-reitoria Pesquisa Pos-graduacao
dc.relationActa Scientiarum: Technology
dc.relation0.231
dc.relation0,168
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectMPI
dc.subjectdigital image processing
dc.subjectdistributed systems
dc.titleSistemas distribuídos aplicados à compressão e recuperação de imagens
dc.typeArtículos de revistas


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