Can I read Limited-Angle CT Reconstruction via the $L 1/L 2$ Minimization on EtoBox?
Limited-Angle CT Reconstruction via the $L 1/L 2$ Minimization by Chao Wang; Min Tao; James G. Nagy; Yifei Lou is a Computer Science article available to read on EtoBox.
What is Limited-Angle CT Reconstruction via the $L 1/L 2$ Minimization about?
In this paper, we consider minimizing the L1/L2 term on the gradient for a limited-angle scanning problem in computed tomography (CT) reconstruction. We design a specific splitting framework for an unconstrained optimization model so that the alternating direction method of multipliers (ADMM) has guaranteed convergence under certain conditions. In addition, we incorporate a box constraint that is reasonable for imaging applications, and the convergence for the additional box constraint can also be established. Numerical results on both synthetic and experimental datasets demonstrate the effectiveness and efficiency of our proposed approach, showing significant improvements over the state-of-the-art methods in the limited-angle CT reconstruction.
Who reads Limited-Angle CT Reconstruction via the $L 1/L 2$ Minimization?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Chao Wang; Min Tao; James G. Nagy; Yifei Lou
- Publisher
- Society for Industrial & Applied Mathematics (SIAM)
- Published
- 2021
- Language
- EN
- Field
- Computer Science (Physical Sciences)