Quantifying the noise sensitivity of the Wasserstein metric for images

Erik Lager, Gilles Mordant, Amit Moscovich

Wasserstein metrics are increasingly adopted as similarity scores for images. We consider the sensitivity of Wasserstein metrics with respect to pixel-wise additive noise when the…