Spatially-varying super-resolution for HDTV
We propose a system to up-sample visual signals for high definition televisions (HDTVs). Although the original visual signals are degraded and limited, we still try to solve these problems by using super-resolution. First, we interpolate the visual signals with a edge taper to the desired size. Then, we combine L1 data term, L2 data term, Tikhonov-like regularizer and total variation regularizer with a saliency weighting for our L12TTV deblurring method. Adopting our L12TTV deblurring, we can remove the spatially-varying blurry conditions of the interpolated signals. Experimental results show that our system outperforms than comparisons in both image and video cases.