Ponencia
A fuzzy motion adaptive de-interlacing algorithm capable of detecting field repetition patterns
Autor/es | Brox Jiménez, Piedad
Baturone Castillo, María Iluminada Sánchez Solano, Santiago |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2007 |
Fecha de depósito | 2017-03-21 |
Publicado en |
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Resumen | A new motion adaptive algorithm for de-interlacing video is proposed in this paper. It employs two fuzzy systems to interpolate the missing lines of the transmission. One fuzzy system is used to evaluate the motion level ... A new motion adaptive algorithm for de-interlacing video is proposed in this paper. It employs two fuzzy systems to interpolate the missing lines of the transmission. One fuzzy system is used to evaluate the motion level at the current pixel, and a second one selects the most adequate temporal interpolation method. The combination of both systems provides an effective result with a low cost in term of hardware resources. |
Agencias financiadoras | Comisión Interministerial de Ciencia y Tecnología (CICYT). España Junta de Andalucía |
Identificador del proyecto | TEC2005-04359
DPI2005-02293 TIC2006-635 TEP2006-375 |
Cita | Brox Jiménez, P., Baturone Castillo, M.I. y Sánchez Solano, S. (2007). A fuzzy motion adaptive de-interlacing algorithm capable of detecting field repetition patterns. En IEEE International Symposium on Intelligent Signal Processing: 1-6, Alcalá de Henares. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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A Fuzzy Motion Adaptive.pdf | 548.7Kb | [PDF] | Ver/ | |