A local adaptive weighted interpolation for deinterlacing
Digital Signal Processing
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The adaptive weighting based on the intensity variations of the neighbor pixels and the distance between the neighbor pixels and a pixel to be interpolated is proposed for the edge-based deinterlacing method. The local edge direction is first determined by the modified edge-based line averaging (MELA) method. Then, according to the local edge direction, the inverse distance and intensity variation based weighting is applied to the fourth-order linear interpolation. The experimental results show that the proposed method provides an improvement over the other existing deinterlacing methods including the MELA method. Also, the proposed method is proved to be suitable for the real-time applications due to its short processing time.