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arXiv · 1603.00816

A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography

Kezhi Li·Daniel Holland
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Abstract

A new iterative image reconstruction algorithm for electrical capacitance tomography (ECT) is proposed that is based on iterative soft thresholding of a total variation penalty and adaptive reweighted compressive sensing. This algorithm encourages sharp changes in the ECT image and overcomes the disadvantage of the $l_1$ minimization by equipping the total variation with an adaptive weighting depending on the reconstructed image. Moreover, the non-linear effect is also partially reduced due to the adoption of an updated sensitivity matrix. Simulation results show that the proposed algorithm recovers ECT images more precisely than existing state-of-the-art algorithms and therefore is suitable for the imaging of multiphase systems in industrial or medical applications.

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Kezhi Li, Daniel Holland. 2016-03-02. A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography. https://arxiv.org/abs/1603.00816

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