Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73247
Título: Using optical flow to reduce noise in image sequences
Autores/as: Dudek -, Roman 
Quintana, Francisca 
Cuenca, Carmelo 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
120304 Inteligencia artificial
Palabras clave: Noise reduction
Optical flow
Fecha de publicación: 2009
Conferencia: 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 
Resumen: In this paper we propose a method for noise reduction in image sequences, based on the optical flow, consisting in tracking each pixel's position in the previous and following images. In some cases the optical flow imperfections can cause artifacts. To prevent them we also propose an improvement to the method based on the estimation of the imperfections of the optical flow. Using that estimation we adaptatively choose either a temporal or a spatial based noise reduction algorithm to be applied in different image zones. Our results show an important noise reduction, even with complex image sequences.
URI: http://hdl.handle.net/10553/73247
ISBN: 978-1-60132-119-0
Fuente: Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009, v. 2, p. 965-970, (Diciembre 2009)
Colección:Actas de congresos
Vista completa

Visitas

53
actualizado el 23-may-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.