inverse scattering

New insights in huber and TV-like regularizers in microwave imaging

In this paper we give new insights into quantitative microwave tomography with robust Huber regularizer and Gauss-Newton optimization. Firstly, we validate this approach for the first time on real electromagnetic measurements. Secondly, we extend the …

A new regularization approach applied to electromagnetic inverse scattering in 3D

We develop a new regularization approach for 3D quantitative microwave tomography, based on a discontinuity adaptive model. The resulting reconstructions from sparse data points for 3D piecewise constant objects are encouraging. The reconstructions …

A new discontinuity adaptive method applied to electromagnetic inverse scattering problem

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.