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

Autor: Gerard De Haan, Calina Ciuhu
Rok vydání: 2004
Předmět:
Zdroj: VCIP
ISSN: 0277-786X
DOI: 10.1117/12.525678
Popis: 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.
Databáze: OpenAIRE