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Recently, a number of generalised parallel computation models have emerged, for example McColl. Efforts also persist (Rinard et al) to fit the serial model of processing to parallel hard-ware. The demise of the transputer and the world-wide retrenchment in the computer industry (Pfister) have added impetus to the search for one universal programming model. Image processing can be viewed as a data-reduction pyramid with pixel-based, low-level, processing at its base and semantically-based, high-level, processing at the apex. It is the base of the pyramid which represents the bottleneck. However, it is unclear whether the parallel computation models so far proposed address the needs of low-level image processing. This paper therefore proposes a real-time parallel processing model for image processing.

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Format:PDFSize:114 KB
Date:Jul 2005
Pages:6

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