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Proceedings Paper

FPGA implementation of a fuzzy based video de-interlacing algorithm
Author(s): P. Brox; S. Sanchez-Solano; I. Baturone; A. Barriga
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Paper Abstract

De-interlacing algorithms are used to convert interlaced video into progressive scan format. Among the different techniques reported in the literature, motion adaptive de-interlacing techniques that combine spatial and temporal interpolation according to the presence of motion achieve good results with a low computational cost. This paper presents the FPGA implementation of a motion adaptive algorithm which employs fuzzy logic in detecting motion and edges. Motion, which is evaluated at each pixel of the de-interlaced frame, determines the interpolation between an enhanced edge-dependent line average method and field insertion. Extensive simulations with video sequences show the advantages performance of the proposed method over other well-known de-interlacing techniques. The hardware implementation of the algorithm has been carried out on a FPGA obtaining a low-cost solution for real-time processing.

Paper Details

Date Published: 30 June 2005
PDF: 11 pages
Proc. SPIE 5837, VLSI Circuits and Systems II, (30 June 2005); doi: 10.1117/12.608795
Show Author Affiliations
P. Brox, Instituto de Microelectronica de Sevilla, Ctr. Nacional de Microelectronica (Spain)
S. Sanchez-Solano, Instituto de Microelectronica de Sevilla, Ctr. Nacional de Microelectronica (Spain)
I. Baturone, Instituto de Microelectronica de Sevilla, Ctr. Nacional de Microelectronica (Spain)
A. Barriga, Instituto de Microelectronica de Sevilla, Ctr. Nacional de Microelectronica (Spain)


Published in SPIE Proceedings Vol. 5837:
VLSI Circuits and Systems II
Jose Fco. Lopez; Francisco V. Fernandez; Jose Maria Lopez-Villegas; Jose M. de la Rosa, Editor(s)

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