Accelerating space variant Gaussian filtering on graphics processing unit

Título:	Accelerating space variant Gaussian filtering on graphics processing unit
Autores/as:	Dudek, Roman Cuenca, Carmelo Quintana, Francisca
Clasificación UNESCO:	1203 Ciencia de los ordenadores 220990 Tratamiento digital. Imágenes 330410 Terminales, dispositivos gráficos y trazadores
Fecha de publicación:	2007
Proyectos:	Reconstrucción 3D de Vasos Sangüíneos A Partir de Múltiples Vistas.
Publicación seriada:	Lecture Notes in Computer Science
Conferencia:	11th International Conference on Computer Aided Systems Theory
Resumen:	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
Fuente:	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.
Colección:	Actas de congresos

Vista completa