Ponencia
FPGA-based implementation of a fuzzy motion adaptive de-interlacing algorithm
Autor/es | Brox Jiménez, Piedad
Sánchez Solano, Santiago Baturone Castillo, María Iluminada |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2007 |
Fecha de depósito | 2017-03-16 |
Publicado en |
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Resumen | This paper surveys the hardware implementation of a de-interlacing algorithm on Field-Programmable Technology for real-time processing. The
algorithm presented evaluates the level of motion at each
pixel, and determines ... This paper surveys the hardware implementation of a de-interlacing algorithm on Field-Programmable Technology for real-time processing. The algorithm presented evaluates the level of motion at each pixel, and determines the interpolation between a spatial and a temporal method according to the presence of motion. To achieve it the algorithm employs an hierarchical structure with three simple fuzzy systems. The first one performs a set of fuzzy rules to apply reasoning in order to detect motion; the second one selects the most convenient direction to implement an edge-dependent line average method; and the third one is used to choose the most adequate temporal method. The hardware implementation of this algorithm combines pipeline architecture with a parallel processing of fuzzy rules to accelerate the computation. As result an efficient implementation is developed in terms of computational time and hardware cost |
Cita | Brox Jiménez, P., Sánchez Solano, S. y Baturone Castillo, M.I. (2007). FPGA-based implementation of a fuzzy motion adaptive de-interlacing algorithm. En Conference on design of circuits and integrated systems (2007, Sevilla), Sevilla. |
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