Sistemas distribuídos aplicados à compressão e recuperação de imagens
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Data
2008-01-01
Autores
Assad Gostaldon, Fabio Jorge
Shinoda, Ailton Akira [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Estadual de Maringá (UEM), Pro-reitoria Pesquisa Pos-graduacao
Resumo
Digital 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.
Descrição
Palavras-chave
MPI, digital image processing, distributed systems
Como citar
Acta Scientiarum-technology. Maringa: Universidade Estadual de Maringá (UEM), Pro-reitoria Pesquisa Pos-graduacao, v. 30, n. 1, p. 1-7, 2008.