Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/73247
Title: Using optical flow to reduce noise in image sequences
Authors: Dudek -, Roman 
Quintana, Francisca 
Cuenca, Carmelo 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120304 Inteligencia artificial
Keywords: Noise reduction
Optical flow
Issue Date: 2009
Conference: 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 
Abstract: 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
Source: Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009, v. 2, p. 965-970, (Diciembre 2009)
Appears in Collections:Actas de congresos
Show full item record

Page view(s)

18
checked on Jun 22, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.