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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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