Due to the recent explosion of multimedia formats and the need to convert between them, more attention is drawn to
picture rate conversion. Moreover, growing demands on video motion portrayal without judder or blur requires improved
format conversion. The simplest conversion repeats the latest picture until a more recent one becomes available.
Advanced methods estimate the motion of moving objects to interpolate their correct position in additional images.
Although motion blur and judder have been reduced using motion compensation, artifacts, especially around the moving
objects in sequences with fast motion, may be disturbing. Previous work has reduced this so-called 'halo' artifact, but the
overall result is still perceived as sub-optimal due to the complexity of the heuristics involved. In this paper, we aim at
reducing the heuristics by designing LMS up conversion filters optimized for pre-defined local spatio-temporal image
classes. Design and evaluation, and a benchmark with earlier techniques will be discussed. In general, the proposed
approach gives better results.