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Proceedings Paper

Double resolution from a set of aliased images
Author(s): Patrick Vandewalle; Sabine Susstrunk; Martin Vetterli
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Paper Abstract

In this paper, we present a super-resolution method to approximately double image resolution in both dimensions from a set of four low resolution, aliased images. The camera is shifted and rotated by small amounts between the different image captures. Only the low frequency, aliasing-free part of the images is used to find the shift and rotation parameters. When the images are registered, it is possible to reconstruct a higher resolution, aliasing-free image from the four low resolution images using cubic interpolation. We applied our algorithm in a simulation, where all parameters are known and controlled, as well as in a practical experiment using images taken with a real digital camera. The results obtained in both tests prove the validity of our method.

Paper Details

Date Published: 7 June 2004
PDF: 9 pages
Proc. SPIE 5301, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V, (7 June 2004); doi: 10.1117/12.526478
Show Author Affiliations
Patrick Vandewalle, Ecole Polytechnique Federale de Lausanne (Switzerland)
Sabine Susstrunk, Ecole Polytechnique Federale de Lausanne (Switzerland)
Martin Vetterli, Ecole Polytechnique Federale de Lausanne (Switzerland)
Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 5301:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V
Nitin Sampat; Morley M. Blouke; Ricardo J. Motta, Editor(s)

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