De-interlacing with weighted edge adaptive intra-field interpolation
加权边沿自适应的场内插值去隔行方法*

To implement the scanning format conversion from interlaced image to progressive image, this paper proposed a high performance de-interlacing algorithm based on spatial weighted and edge adaptive. The algorithm included two steps: LRV evaluation and edge adaptive interpolation. Compared with previous algorithms, LRV evaluation could remarkably reduce the fake edge interpolation, the prejudgment of edge before edge adaptive interpolation could suppress the reversal interpolation error, considered spatial weighting in weighted edge evaluation could reduce the edge interpolation error. Extensive simulations conducted for images and video sequences show the efficacy of the proposed algorithm over the previous algorithms in terms of the objective and subjective image quality.