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Proceedings Paper

Joint demosaicing and super-resolution imaging from a set of unregistered aliased images
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Paper Abstract

We present a new algorithm that performs demosaicing and super-resolution jointly from a set of raw images sampled with a color filter array. Such a combined approach allows us to compute the alignment parameters between the images on the raw camera data before interpolation artifacts are introduced. After image registration, a high resolution color image is reconstructed at once using the full set of images. For this, we use normalized convolution, an image interpolation method from a nonuniform set of samples. Our algorithm is tested and compared to other approaches in simulations and practical experiments.

Paper Details

Date Published: 20 February 2007
PDF: 12 pages
Proc. SPIE 6502, Digital Photography III, 65020A (20 February 2007); doi: 10.1117/12.703980
Show Author Affiliations
Patrick Vandewalle, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Karim Krichane, École Polytechnique Fédérale de Lausanne (Switzerland)
David Alleysson, Lab. de Psychologie et Neurocognition, Univ. Pierre-Mendes-France (France)
Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 6502:
Digital Photography III
Russel A. Martin; Jeffrey M. DiCarlo; Nitin Sampat, Editor(s)

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