A primal dual proximal point method of Chambolle-Pock algorithm for total variation image reconstruction

摘要

Total variation (TV) minimization problems are widely used for solving incomplete data problems in computed tomography (CT) image reconstruction. The present paper investigates a primal dual proximal point method of Chambolle-Pock algorithm to solve the CT image reconstruction problem which consisting the sum of £2 data fidelity term and TV regularization term. We tested these methods on computer simulated data, and they exhibited good performance when used to few-view and limited-angle CT image reconstruction.