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Found 4 papers, 2 papers with code
Space variant deconvolution of galaxy survey images
This work introduces the use of the low-rank matrix approximation as a regularisation prior for galaxy image deconvolution and compares its performance with a standard sparse regularisation technique.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
Wasserstein barycenters) between dictionary atoms; such atoms are themselves synthetic histograms in the probability simplex.
Super-resolution method using sparse regularization for point-spread function recovery
In large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes.
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
The optimal transport solution gives us a matching between source and target domain mixture components.
