Accelerating space variant Gaussian filtering on graphics processing unit

Authors:
Roman Dudek;Carmelo Cuenca;Francisca Quintana
Affiliations:
Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Spain
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

In this paper we examine the performance advantages of using a GPU to execute the space variant Gaussian filtering. Our results show that the straightforward convolution GPU implementation obtains up to 8 times better performance than the best recursive algorithm (the Deriche's filter) executed on a CPU, for useful maximum σ values. GPUs have turned out a useful option to obtain high execution performance, specially due to the emergence of high level languages for graphics hardware.