Spatio Temporal Video De interlacing Algorithm Based on MAP Estimation
This paper presents a novel de interlacing algorithm that can make up motion compensation errors by using maximum a posteriori (MAP) estimator. First, a proper registration is performed between a current field and its adjacent fields, and the progressive frame corresponding to the current field is found via MAP estimator based on the computed registration information. Here, in order to obtain a stable solution, well known bilateral total variation (BTV) based regularization is employed. Next, so called feathering artifacts are detected on a block basis effectively. So, edge directional interpolation is applied to the pixels where feathering artifact may happen, instead of the above mentioned temporal de interlacing. Experimental results show that the PSNR of the proposed algorithm is on average 4dB higher than that of previous studies and provides the better subjective quality than the previous works.