Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/77767
Título: Image sequences noise reduction: an optical flow based approach
Autores/as: Dudek, Roman 
Cuenca, Carmelo 
Quintana, Francisca 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
Fecha de publicación: 2009
Editor/a: Springer 
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 12th International Conference on Computer Aided Systems Theory, EUROCAST 2009 
Resumen: 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
Fuente: 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.
Colección:Actas de congresos
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