A primal dual proximal point method of Chambolle-Pock algorithms for ℓ1-TV minimization problems in image reconstruction

• Published in: 2012 5th International Conference on Biomedical Engineering and Informatics pp. 12 - 16
• Main Authors: Tang, Yuchao, Peng, Jigen, Yue, Shigang, Xu, Jiawei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2012
• Subjects: Computed tomography; Convex functions; Data models; Image reconstruction; Linear programming; Noise; Signal to noise ratio; Total variance; Vectors

Computed tomography (CT) image reconstruction problems can be solved by finding the minimizer of a suitable objective function. The objective function usually consists of a data fidelity term and a regularization term. Total variation (TV) minimization problems are widely used for solving incomplete...