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Optimal transport-based dictionary learning and its application to Euclid-like Point Spread Function representation

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Figure 1. Graphical representation of the mass transportation problem. The minimal effort cost to transport one measure into the other defines an Optimal Transport distance between µ and ν.
Figure 2. Evolution of the Euclidean barycenter of two images with varying weights.
Figure 4. Learning two atoms from a set of translated discretized Gaussian distributions
Figure 5. Chromatic variations of Euclid-like PSF between 550 and 900nm.
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