An efficient edge line average interpolation algorithm for deinterlacing

In this paper, an efficient interpolation approach is proposed for deinterlacing within a single frame. On the basis of the edge-based line average (ELA) algorithm, two useful measurements are introduced within the analysis window in order to alleviate misleading decisions in determining the direction in which the interpolation is to be made. By efficiently estimating the directional spatial correlations of neighboring pixels, increased interpolation accuracy has been achieved. Additionally, the new method possesses a simple computation structure and is therefore easy to implement. Extensive simulations conducted for different images and video sequences have shown the efficacy of the proposed interpolator with significant improvement over previous ELA based algorithms in terms of both quantitative and perceived image quality.