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Found 2 papers, 1 papers with code
PSF field learning based on Optimal Transport Distances
Context: in astronomy, observing large fractions of the sky within a reasonable amount of time implies using large field-of-view (fov) optical instruments that typically have a spatially varying Point Spread Function (PSF).
Constraint matrix factorization for space variant PSFs field restoration
Aims: given a set of aliased and noisy stars images from a telescope, we want to estimate well-resolved and noise-free PSFs at the observed stars positions, in particular, exploiting the spatial correlation of the PSFs across the FOV.
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