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VCIP
2003

Superresolution images reconstructed from aliased images

8 years 6 months ago
Superresolution images reconstructed from aliased images
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.
Patrick Vandewalle, Sabine Süsstrunk, Martin
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where VCIP
Authors Patrick Vandewalle, Sabine Süsstrunk, Martin Vetterli
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