DocumentCode
2951054
Title
A Fuzzy Motion Adaptive De-interlacing Algorithm Capable of Detecting Field Repetition Patterns
Author
Brox, P. ; Baturone, I. ; Sánchez-Solano, S.
Author_Institution
Inst. de Microelectron. de Sevilla, Seville
fYear
2007
fDate
3-5 Oct. 2007
Firstpage
1
Lastpage
6
Abstract
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.
Keywords
fuzzy set theory; fuzzy systems; image motion analysis; interpolation; video signal processing; field repetition pattern detection; fuzzy motion adaptive de-interlacing video algorithm; fuzzy system; temporal interpolation method; Adaptive algorithm; Computational efficiency; Costs; Detectors; Fuzzy logic; Fuzzy systems; Interpolation; Motion detection; Performance evaluation; Proposals; De-interlacing; Detection of field repetition; Fuzzy logic; Motion adaptive;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on
Conference_Location
Alcala de Henares
Print_ISBN
978-1-4244-0829-0
Electronic_ISBN
978-1-4244-0830-6
Type
conf
DOI
10.1109/WISP.2007.4447491
Filename
4447491
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