Ponencia
Fuzzy motion adaptive algorithm for video de-interlacing
Autor/es | Brox Jiménez, Piedad
Baturone Castillo, María Iluminada Sánchez Solano, Santiago Gutiérrez Ríos, Julio Fernández Hernández, F. |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2006 |
Fecha de depósito | 2017-03-21 |
Publicado en |
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ISBN/ISSN | 978-3-540-46537-9 |
Resumen | A motion adaptive algorithm for video de-interlacing is presented in this paper. It is based on a fuzzy inference system, which performs an interpolation between two linear techniques as a function of the motion level. ... A motion adaptive algorithm for video de-interlacing is presented in this paper. It is based on a fuzzy inference system, which performs an interpolation between two linear techniques as a function of the motion level. Fuzzy systems with different number of ¿if-then¿ rules have been analyzed and compared in terms of complexity as well as efficiency in de-interlacing benchmark video sequences. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Identificador del proyecto | TEC2005-04359/MIC
TIC2006-635 |
Cita | Brox Jiménez, P., Baturone Castillo, M.I., Sánchez Solano, S., Gutiérrez Ríos, J. y Fernández Hernández, F. (2006). Fuzzy motion adaptive algorithm for video de-interlacing. En 10th International Conference, KES (363-370), Bournemouth (UK): Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Fuzzy motion.pdf | 202.9Kb | [PDF] | Ver/ | |