Fig. 3

Benchmarking PGURE-SVT, Noise2Self, Noise2Void, Noise2Atom and MCNN on heavily-noised HAADF images. The CSS metrics are presented on the top-left corners. Noise2Atom gives much better predictions than the other unsupervised methods: visually more Gaussian-like and background corrected, with an increased quantitative contrast. In the 512×512 case, Noise2Atom can even beats the baseline MCNN, which has been trained using semi-supervised method