Image quantisation on a massively parallel embedded processor

Authors:
Jan Jacobs;Leroy van Engelen;Jan Kuper;Gerard J. M. Smit
Affiliations:
Océ Technologies BV, Venlo, The Netherlands;University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands
Venue:
SAMOS'07 Proceedings of the 7th international conference on Embedded computer systems: architectures, modeling, and simulation
Year:
2007

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Abstract

Recent advances in embedded processing architectures allow for new powerful algorithms, which exploit the intrinsic parallelism present in image processing applications. This paper describes the results of the mapping process of stochastic image quantisation on a massively parallel processor. The problem can be modeled in a parallel way. Despite the fact that the implementation is IO bound, good speedups are achieved (16× compared to a standard image processing package running on a Pentium processor).