Learning Convex Regularizers for Optimal Bayesian Denoising

Ha Q. Nguyen, Emrah Bostan, Michael Unser

We propose a data-driven algorithm for the maximum a posteriori (MAP) estimation of stochastic processes from noisy observations. The primary statistical properties of the sought s…