Sparse recovery in magnetic resonance imaging with a Markov random field prior

Weakly convex discontinuity adaptive regularization for 3D quantitative microwave tomography

We present an analysis of weakly convex discontinuity adaptive (WCDA) models for regularizing three-dimensional (3D) quantitative microwave imaging. In particular, we are concerned with complex permittivity reconstructions from sparse measurements …

Total least square kernel regression

Denoising algorithm for the 3D depth map sequences based on multihypothesis motion estimation

On structured sparsity and selected applications in tomographic imaging

This work explores the potentials of structure encoding in sparse tomographic reconstructions. We are encoding spatial structure with Markov Random Field (MRF) models and employ it within Magnetic Resonance Imaging (MRI) and Quantitative Microwave …