A Motion-Adaptive Deinterlacer via Hybrid Motion Detection and Edge-Pattern Recognition

A Motion-Adaptive Deinterlacer via Hybrid Motion Detection and Edge-Pattern Recognition

Blog Article

Abstract A novel motion-adaptive deinterlacing algorithm with edge-pattern recognition and hybrid motion detection is introduced.The great variety of video contents makes the processing of assorted motion, edges, textures, and the combination of them very difficult with a single algorithm.The Handheld Sweeper edge-pattern recognition algorithm introduced in this paper exhibits the flexibility in processing both textures and edges which need to be separately accomplished by line average and edge-based line average before.

Moreover, predicting the neighboring pixels for pattern analysis and interpolation further enhances the adaptability of the edge-pattern recognition unit when motion detection is incorporated.Our hybrid motion detection features accurate detection of fast and slow motion in interlaced Soccer - Goalie - Gloves video and also the motion with edges.Using only three fields for detection also renders higher temporal correlation for interpolation.

The better performance of our deinterlacing algorithm with higher content-adaptability and less memory cost than the state-of-the-art 4-field motion detection algorithms can be seen from the subjective and objective experimental results of the CIF and PAL video sequences.