Presentation
A fuzzy motion adaptive de-interlacing algorithm capable of detecting field repetition patterns
Author/s | Brox Jiménez, Piedad
Baturone Castillo, María Iluminada Sánchez Solano, Santiago |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 2007 |
Deposit Date | 2017-03-21 |
Published in |
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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 ... 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. |
Funding agencies | Comisión Interministerial de Ciencia y Tecnología (CICYT). España Junta de Andalucía |
Project ID. | TEC2005-04359
DPI2005-02293 TIC2006-635 TEP2006-375 |
Citation | Brox Jiménez, P., Baturone Castillo, M.I. y Sánchez Solano, S. (2007). A fuzzy motion adaptive de-interlacing algorithm capable of detecting field repetition patterns. En IEEE International Symposium on Intelligent Signal Processing: 1-6, Alcalá de Henares. |
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A Fuzzy Motion Adaptive.pdf | 548.7Kb | [PDF] | View/ | |