The noise reduction algorithms considered have different strategies for noise removal and types of noise assumptions.

Median filtering is excluded from this table since it has no explicit assumption regarding the noise being additive or signal-dependent. While the DivN approach, in principle, allows for incorporating any suitable imaging noise distribution, here we have follow the publicly available implementation and used a variant of the algorithm in which the noise distribution is described by a GMM. BM3D and ES3C incorporate a Gaussian noise assumption; the VST-based approaches and PMM assume Poisson noise.