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Until today, the interlaced scan format is widely used by the TV
industry. The interlaced video is an easy way to halve the
bandwidth, but exposes well known artifacts like line crawling,
edge flicker, and jagged effects. Furthermore, an interlaced field
is unsuitable for progressively scanned format used in LCD and
plasma displays. De-interlacing is the process to convert
interlaced format into progressive format. This work presents a
novel edge-based motion adaptive de-interlacing algorithm to
promote visual quality of video sequences. An interlaced field is
divided and analyzed by utilizing block-based motion detection and
edge detection. Different edge interpolation schemes are performed
by considering the similarity of nearby edges and previous
interpolation direction. The refinement is then utilized by
referring to directional, temporal, and spatial information.
Experiment results show that the proposed algorithm can promote
image quality, especially in horizontal edges. The proposed
algorithm also outperforms previous motion adaptive de-interlacing
algorithms. This work should be useful to professionals in Image
Processing and Consumer Electronics fields.
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