Fast and efficient resampling for multi-frame super-resolution

Multi-frame super-resolution aims at producing a single high-resolution image from a set of low resolution images. The aliasing of the input low resolution images can be recovered thanks to multi-frame acquisition of the scene observed with faint camera motion. On another hand, the super-resolution process must be efficient and light to be embedded into products. This article describes a straight super-resolution scheme which emphasises the role of resampling. A new family of interpolation functions is described in details and then benchmarked with grey-scaled as well as colour filter array images. The proposed algorithm has the same complexity than basic image resampling algorithms and results show a significant gain in resolution with no ringing artefacts.