Correction to novel artifact detection for motion compensated deinterlacing

In this paper, we propose corrected artifact detection for motion compensated de-interlacing. De-interlacing techniques are adopted to convert interlaced video into progressive scanning format. Motion compensated de-interlacing algorithm provides the best performance if the estimated motion information is correct. However, it suffers from inaccurate motion estimation, and the weak error protection thus deteriorates the visual quality. This paper presents corrected artifact detection for motion compensated de-interlacing with highly accurate motion estimation and robust error detection. We propose a spatial-temporal correlation assisted motion estimation to obtain more accurate motion information. The spatial and temporal correlations among the motion vectors are exploited to find the true motion of the object. A hierarchical MV reliability verification is provided to reject incorrect temporal information. This method can detect the possible defects effectively in both large and small areas. The experimental results show that the proposed scheme outperforms existing methods and converts high performance de-interlaced results in different video sequences.