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Type: Artigo de periódico
Title: Distributed systems applied to image compression and recovery
Author: Gostaldon, FJA
Shinoda, AA
Abstract: 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.
Subject: MPI
digital image processing
distributed systems
Country: Brasil
Editor: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
Rights: aberto
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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