Superresolution images reconstructed from aliased images

Patrick Vandewalle; Sabine E. Susstrunk; Martin Vetterli

doi:10.1117/12.506874

23 June 2003 Superresolution images reconstructed from aliased images

Patrick Vandewalle, Sabine E. Susstrunk, Martin Vetterli

Author Affiliations +

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.506874
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

In 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.

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Patrick Vandewalle, Sabine E. Susstrunk, and Martin Vetterli "Superresolution images reconstructed from aliased images", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.506874

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