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Proceedings Paper

Superresolution images reconstructed from aliased images
Author(s): Patrick Vandewalle; Sabine E. Susstrunk; Martin Vetterli
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Paper 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.

Paper Details

Date Published: 23 June 2003
PDF: 8 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.506874
Show Author Affiliations
Patrick Vandewalle, Swiss Federal Institute of Technology Lausanne (Switzerland)
Sabine E. Susstrunk, Swiss Federal Institute of Technology Lausanne (Switzerland)
Martin Vetterli, Swiss Federal Institute of Technology Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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