Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72593
Title: Accelerating space variant Gaussian filtering on graphics processing unit
Authors: Dudek, Roman
Cuenca, Carmelo 
Quintana, Francisca 
UNESCO Clasification: 1203 Ciencia de los ordenadores
220990 Tratamiento digital. Imágenes
330410 Terminales, dispositivos gráficos y trazadores
Issue Date: 2007
Project: Reconstrucción 3D de Vasos Sangüíneos A Partir de Múltiples Vistas. 
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Computer Aided Systems Theory 
Abstract: In this paper we examine the performance advantages of using a CPU 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 a 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.
URI: http://hdl.handle.net/10553/72593
ISBN: 978-3-540-75866-2
ISSN: 0302-9743
DOI: 10.1007/978-3-540-75867-9_123
Source: Moreno Díaz R., Pichler F., Quesada Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2007. Lecture Notes in Computer Science, [ISSN 0302-9743], vol 4739, p. 984-991, (2007). Springer, Berlin, Heidelberg.
Appears in Collections:Actas de congresos
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