Deinterlacing method based on edge direction refinement using weighted maximum frequent filter
Jee‐Hoon Jung, Sung‐Hoon Hong · 2011
In this paper, we propose an efficient edge dependent deinterlacing algorithm with edge directional refinement using the weighted maximum frequent filter. Conventional edge dependent algorithms achieve better visual performance than any other Intra-field deinterlacing algorithms. However, they are very sensitive to noise and may produce poor results due to their failure to estimate the edge direction. In order to improve the reliability and consistency of detected edge direction, our method first detects the edge direction of a pixel to be interpolated and refines the edge direction using the weighted maximum frequent filter. The simulation results have shown the efficacy of the proposed method with significant improvement over the previous methods in terms of the objective PSNR quality as well as subjective image quality.