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 …
Reconstruction of inhomogeneous dielectric objects from microwave scattering is a nonlinear and ill-posed inverse problem. In this communication, we develop a new class of weakly convex discontinuity adaptive (WCDA) models as a regularization for …
We develop a new regularization method for quantitative microwave tomography, based on a discontinuity adaptive Markov random Field model. The results on 2D data sets are encouraging and indicate potential for use in biomedical imaging.