Advances in super-resolution for high quality television applications

Current television systems cope with a gap between broadcast and display resolution. Currently, scaling together with high-end sharpening techniques is considered state of the art in consumer products. For larger resolutions and more detail we propose super-resolution, a known technique, but with several new insights. Such as similarity adjustment combined with rejection to provide a higher accuracy. Furthermore, temporal nearest first, a multi-frame motion estimator that even more increases accuracy so more detail can be obtained. The latter also makes an implementation more feasible in a television application.