Motion Vector Refinement and Vertical Frequency Detection for Motion Compensated De-interlacing

Abstract

This paper proposed a novel motion vector refinement and vertical frequency detection method for motion compensated de-interlacing. Motion compensated de-interlacing is the main trend of the next generation of de-interlacing algorithms. However, it suffers visible artifacts caused by incorrect motion vectors. To improve such imperfect pictures, we adopt interleaved sub-sample pseudo frame SAD, further smoothing on motion vectors, undesired vertical high frequency detection and local area expanded weighting coefficient generation techniques to provide more accurate motion estimation and more efficient artifact detection. In particular, the simulated result is better than previous de-interlacing methods.