Super-resolution method using sparse regularization for point-spread function recovery
Published in Springer Link (Chiba Institute of Technology) • Mar 2, 2015
Authors:,,
F. M. Ngolè Mboula
J.-L. Starck
S. Ronayette
Abstract
In large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes. Therefore, one may consider using a super-resolution (SR) method to recover aliased frequencies, prior to further analysis. This is particularly relevant for point...
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