FPGA implementation of a fuzzy based video de-interlacing algorithm

P. Brox; S. Sanchez-Solano; I. Baturone; A. Barriga

doi:10.1117/12.608795

30 June 2005 FPGA implementation of a fuzzy based video de-interlacing algorithm

P. Brox, S. Sanchez-Solano, I. Baturone, A. Barriga

Proceedings Volume 5837, VLSI Circuits and Systems II; (2005) https://doi.org/10.1117/12.608795
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain

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.

Citation Download Citation

P. Brox, S. Sanchez-Solano, I. Baturone, and A. Barriga "FPGA implementation of a fuzzy based video de-interlacing algorithm", Proc. SPIE 5837, VLSI Circuits and Systems II, (30 June 2005); https://doi.org/10.1117/12.608795

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KEYWORDS

Fuzzy logic

Video

Digital filtering

Field programmable gate arrays

Sensors

Fuzzy systems

Algorithm development

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