This paper proposes a novel intelligent intra-field interpolation for motion compensated deinterlacing. This method combines the advantage of cubic cuwe fitting interpolation and fuzzy edge interpolation to overcome resolution degradation caused by incorrect motion vector. The intelligent intra-field interpolation scheme alleviates resolution degradation in areas where object motion cannot be well tracked by motion estimation and produces deinterlaced pictures with better visual quality, less flicker, and imperceptible artifacts. Experimental results show that the developed method can indeed generate high quality intra-interpolation picture for motion areas.Indpr T e n n d u b i c curve fitting interpolation, deinterlaciog, fuzzy edge interpolation, motion compensation.
In this paper, high performance and intelligent intrafield interpolation for motion compensated deinterlacing algorithms are proposed and modified. We present a correction to intelligent intra-field interpolation for motion compensated deinterlacing. The main intra-field interpolation algorithms that include cubic curve fitting interpolation, fuzzy edge interpolation and sub-sampled wide vector based edge base line averaging (ELA) are discussed in this paper. The main purpose of the design is to obtain high quality results and reduce the flickers and artifacts that are often introduced by conventional motion compensated de-interlacing. Furthermore, an improved intra-field interpolation is used to produce sharp edges in regions where MV is considered unreliable. The proposed algorithm produces sharp edges in this region and does not produce annoying effects in the high spatial frequency region.
Ahstract-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 spatialtemporal 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.
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