Abstract: Markov Chain Monte Carlo (MCMC) algorithms are standard approaches to solve imaging inverse problems and quantify estimation uncertainties, a key requirement in absence of ground-truth data.

Abstract: This paper proposes a domain constraint strategy based on the $\mathbf{k}$-means algorithm and combines it with the currentbased learning method for the inversion of highly nonlinear targets ...