Image Reconstruction Algorithm Based on Fixed-Point Iteration for Electrical Capacitance Tomography

Abstract

AbstractTo improve the quality of the reconstruction image for discontinuous media distribution areas, a total variation (TV) regularization based on bounded variation function was employed to solve the ill-posed problem of electrical capacitance tomography (ECT). By using TV regularization, an Euler equation, a non-linear partial differential equation, is derived to describe the ECT problem. However, it is very time consuming, if possible, for traditional methods to solve this Euler equation. This paper presents a new fixed-point iterative algorithm which can get the solution stably and rapidly. Numerical results show that the presented method improves the quality of the reconstruction image for discontinuous media distribution areas in ECT image reconstruction, and leads to the common boundary between different media clearer.Keywordselectrical capacitance tomography (ECT)image reconstructionill-posedtotal variation regularizationfixed-point iterative algorithm