New global motion compensated de-interlacing algorithm based on horizontal and vertical patterns

In this paper, we propose a robust deinterlacing algorithm which combines edge dependent interpolation (EDI) and global motion compensation (GMC). Generally, EDI algorithm shows a visually better performance than any other deinterlacing algorithm using one field. However, due to the restriction of information in one field, a high quality progressive image from interlaced sources cannot be acquired by intrafield methods. Hence, proposed algorithm makes use of mixing process of EDI and GMC. In order to obtain the best result, adaptive thresholding algorithm for detecting the failure of GMC is proposed. Experimental results indicate that the proposed algorithm outperforms conventional approaches with respect to both objective and subjective criteria.