Abstract
There is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when executing them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodology we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Guirado, F., Ripoll, A., Roig, C., Hernàndez, A., & Luque, E. (2006). Exploiting throughput for pipeline execution in streaming image processing applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4128 LNCS, pp. 1095–1105). Springer Verlag. https://doi.org/10.1007/11823285_115
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