Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77767
Title: Image sequences noise reduction: an optical flow based approach
Authors: Dudek, Roman 
Cuenca, Carmelo 
Quintana, Francisca 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
Issue Date: 2009
Publisher: Springer
Journal: Lecture Notes in Computer Science 
Conference: 12th International Conference on Computer Aided Systems Theory, EUROCAST 2009 
Abstract: We present an optical flow based method for noise reduction in image sequences. To prevent artefacts caused by optical flow imperfections, we propose a method to estimate these imperfections. We use the estimation to adaptively choose either a temporal or a spatial based noise reduction algorithm to be applied in different image zones. Our results have shown that an important noise reduction can be achieved with the proposed method, without the drawbacks of the simpler methods. The method has provided important noise reductions even with complex image sequences.
URI: http://hdl.handle.net/10553/77767
ISBN: 978-3-642-04771-8
ISSN: 0302-9743
DOI: 10.1007/978-3-642-04772-5_48
Source: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory - EUROCAST 2009. Lecture Notes in Computer Science, [0302-9743], vol 5717, p. 366-373. Springer, Berlin, Heidelberg.
Appears in Collections:Actas de congresos
Thumbnail
Adobe PDF (161,3 kB)
Show full item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



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