Sistemas distribuídos aplicados à compressão e recuperação de imagens

dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T22:37:20Z
dc.date.accessioned2022-12-20T02:12:48Z
dc.date.available2022-04-28T22:37:20Z
dc.date.available2022-12-20T02:12:48Z
dc.date.created2022-04-28T22:37:20Z
dc.date.issued2008-12-01
dc.identifierActa Scientiarum - Technology, v. 30, n. 1, p. 1-7, 2008.
dc.identifier1806-2563
dc.identifierhttp://hdl.handle.net/11449/226328
dc.identifier2-s2.0-79956266407
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5406458
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.relationActa Scientiarum - Technology
dc.sourceScopus
dc.subjectDigital image processing
dc.subjectDistributed systems
dc.subjectMPI
dc.titleSistemas distribuídos aplicados à compressão e recuperação de imagens
dc.typeArtículos de revistas


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