A unified approach to restoration, deinterlacing and superresolution of MPEG-2 decoded video

The quality and the spatial resolution of video can be improved by combining multiple pictures to form a single superresolution picture. We address the special problems associated with pictures of variable but somehow parameterized quality such as MPEG-decoded video. Our algorithm provides a unified approach to restoration, chrominance upsampling, deinterlacing and superresolution as e.g. HDTV. The algorithm is mainly targeted at improving MPEG-2 decoding at high bit rates (4-8 Mbit/s). The mean squared error is reduced, compared to the directly decoded sequence, and annoying ringing artifacts including mosquito noise are effectively suppressed. The superresolution pictures obtained by the algorithm are of much higher visual quality and has lower mean squared error than superresolution pictures obtained by simple spatial interpolation