Imaging PEC through innovative compressive sensing approaches

In this paper, an innovative multi-task Bayesian Compressive Sensing (MT-BCS)-based approach is proposed to image sparse metallic objects. Towards this end, the problem of estimating the position of the contrast currents is formulated in a Bayesian framework, and a thresholding procedure is applied to derive the binary function describing the scatterer profile. A preliminary set of numerical examples is presented to assess the effectiveness of the considered methodology.