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
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;
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
DOI :
10.1109/WISP.2007.4447491
