Scalable algorithms for media processing

Since programmable platforms have a fixed number of resources, the number of algorithms that can run in parallel is limited. We propose to overcome this by introducing scalable algorithms that are capable of trading resource usage for output quality. We show the feasibility of this approach by means of an implementation example, namely scalable sharpness enhancement for video signals.