Paper
7 June 2004 Double resolution from a set of aliased images
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick Vandewalle, Sabine Susstrunk, and Martin Vetterli "Double resolution from a set of aliased images", Proc. SPIE 5301, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V, (7 June 2004); https://doi.org/10.1117/12.526478
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CITATIONS
Cited by 21 scholarly publications and 2 patents.
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KEYWORDS
Image resolution

Image registration

Digital cameras

Super resolution

Reconstruction algorithms

Cameras

Fourier transforms

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