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Image super resolution is the process of combining a set of overlapping low-resolution images to produce a single high-resolution image. In this paper, a novel real-time super-resolution system is presented which is based on a weighted mean super-resolution algorithm combined with the existing fast and robust multi-frame super-resolution algorithm. The resource requirements of the proposed architecture scale linearly with the targeted image quality, making it ideally suited for a variety of real-time applications such as HDTV. Simulation results demonstrate a speed-up of three orders of magnitude over optimized software implementations with negligible loss to image quality.