Continuous Gaussian mixture solution for linear Bayesian inversion with application to Laplace priors
We focus on Bayesian inverse problems with Gaussian likelihood, linear forward model, and
priors that can be formulated as a Gaussian mixture. Such a mixture is expressed as an …
priors that can be formulated as a Gaussian mixture. Such a mixture is expressed as an …
Dimension reduction methods for Bayesian inversion with applications in image reconstruction
R Flock - 2024 - orbit.dtu.dk
In imaging applications such as image denoising, image deblurring, and computed
tomography images are reconstructed from noisy data in the framework of inverse problems …
tomography images are reconstructed from noisy data in the framework of inverse problems …