A two-dimensional generalized sampling theory and application to de-interlacing

Calina Ciuhu; Gerard de Haan

doi:10.1117/12.525678

18 January 2004 A two-dimensional generalized sampling theory and application to de-interlacing

Calina Ciuhu, Gerard de Haan

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.525678
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Yen's generalisation of the sampling theorem has been proposed as the theoretical solution for de-interlacing by Delogne and Vandendorpe. The solution results in a vertical interpolation filter with coefficients that depend on the motion vector value, which uses samples that exist in the current field and additional samples from a neighbouring field shifted over (part of) a motion vector. We propose a further generalisation, where we design vector-adaptive inseparable 2D filters, which use samples from the current and the motion compensated previous field that are not available for all vectors on a vertical line. The resulting inseparable filters give a better interpolation quality at a given number of input pixels. We will show that the algorithm can be made robust against the sensitivity to inaccurate motion vectors.

Citation Download Citation

Calina Ciuhu and Gerard de Haan "A two-dimensional generalized sampling theory and application to de-interlacing", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.525678

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