Abstract
This paper proposes a spatial domain deinterlacing method which is based on fuzzy rule and edge-sensitive line average algorithm. The proposed algorithm consists two parts: edge direction detection part and fuzzy rule based edge-sensitive interpolation part. Once the edge direction is determined, in order to accurately reconstruct boundary of edges and peaks, edge-sensitive interpolation is utilized. Detection and interpolation results are presented. Experimental results show that the proposed algorithm provides a significant improvement over other existing deinterlacing methods.
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Jeon, G., Kim, J., You, J., Jeong, J. (2007). Fuzzy Rule Based Edge-Sensitive Line Average Algorithm in Interlaced HDTV Sequences. In: MartÃ, J., BenedÃ, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_38
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DOI: https://doi.org/10.1007/978-3-540-72849-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72848-1
Online ISBN: 978-3-540-72849-8
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