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Soft Computing Techniques for Video De-Interlacing
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DOI：10.1109/JSTSP.2010.2052346.png)
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Abstract
En 中文
This paper presents the application of soft computing techniques to video processing. Especially, the research work has been focused on the de-interlacing task. It is necessary whenever the transmission standard uses an interlaced format but the receiver requires a progressive scanning, as happens in consumer displays such as LCDs and plasma. A simple hierarchical solution that combines three simple fuzzy logic-based constituents (interpolators) is presented in this paper. Each interpolator is specialized in one of three key image features for de-interlacing: motion, edges, and possible repetition of picture areas. The resulting algorithm offers better results than others with less or similar computational cost. A very interesting result is that our algorithm is competitive with motion-compensated algorithms.
Keywords:
Edge-adaptive de-interlacing
fuzzy inference systems
motion-adaptive de-interlacing
picture-repetition
soft computing
video signal processing
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