Abstract
This letter presents the issue of interpolating missing line components at the interlaced signals, a procedure called deinterlacing. A filter design method is introduced in detail, utilizing a least-squares algorithm with training set for the requested deinterlacing filter. A thorough research of deinterlacing performance and system complexity is executed. The proposed filter design and its application on deinterlacing is compared with other conventional filter-based deinterlacing methods in terms of quality measures. It was concluded to show outstanding performance and speed trade-off among the methods compared.
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