Vandewalle, PatrickSüsstrunk, SabineVetterli, Martin2005-04-182005-04-182005-04-18200310.1117/12.506874https://infoscience.epfl.ch/handle/20.500.14299/212937WOS:000184462900138In this paper, we present a simple method to almost quadruple the spatial resolution of aliased images. From a set of four low resolution, undersampled and shifted images, a new image is constructed with almost twice the resolution in each dimension. The resulting image is aliasing-free. A small aliasing-free part of the frequency domain of the images is used to compute the exact subpixel shifts. When the relative image positions are known, a higher resolution image can be constructed using the Papoulis-Gerchberg algorithm. The proposed method is tested in a simulation where all simulation parameters are well controlled, and where the resulting image can be compared with its original. The algorithm is also applied to real, noisy images from a digital camera. Both experiments show very good results.Superresolutionsuper-resolutionsubpixel motion estimationaliased imagesIVRGNCCR-MICS/CL1NCCR-MICSsuper-resolutiontext::conference output::conference proceedings::conference paper