Spatio-temporal edge-based median filtering for deinterlacing

In this paper, we propose a new computationally efficient deinterlacing algorithm which shows effective visual performance. In the proposed scheme, correlation dependent interpolation and line doubling schemes are utilized separately for the low frequency and high frequency components of the 2-D input signal. Computer simulation results indicate that the proposed algorithm shows better visual performance than conventional deinterlacing algorithms.