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Fuzzy motion adaptive algorithm for video de-interlacing

 

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Opened Access Fuzzy motion adaptive algorithm for video de-interlacing
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Author: Brox Jiménez, Piedad
Baturone Castillo, María Iluminada
Sánchez Solano, Santiago
Gutiérrez Ríos, Julio
Fernández Hernández, F.
Department: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Date: 2006
ISBN/ISSN: 978-3-540-46537-9
Document type: Presentation
Abstract: 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.
Size: 202.9Kb
Format: PDF

URI: http://hdl.handle.net/11441/56072

DOI: http://dx.doi.org/10.1007/11893004_47

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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