no code implementations • 4 Sep 2019 • Camille Pouchol, Olivier Verdier
We prove that if the measurements $\delta$ are not in the cone $\{A \mu, \mu \geq 0\}$, which is typical of short exposure times, likelihood maximisers as well as ML-EM cluster points must be sparse, i. e., typically a sum of point masses.
no code implementations • 26 Aug 2019 • Ozan Öktem, Camille Pouchol, Olivier Verdier
We expect this approach to scale very well to higher resolutions and to 3D, as the overall cost of our algorithm is only marginally greater than that of a standard ML-EM algorithm.
