The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography

Presenters/Authors

Jiehua Zhu, Georgia Southern UniversityFollow

Document Type

Presentation

Presentation Date

5-20-2012

Abstract or Description

In this talk, we will introduce a block diagonally-relaxed orthogonal projection algorithm and a block component averaging algorithm for computed tomography image reconstruction in the compressed sensing framework and derive the convergence. Numerical experiments are shown to illustrate the convergence of the new algorithms.

Sponsorship/Conference/Institution

Society for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS)

Location

Philadelphia, PA

Recommended Citation

Zhu, Jiehua. 2012. "The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography." Department of Mathematical Sciences Faculty Presentations. Presentation 577.
https://digitalcommons.georgiasouthern.edu/math-sci-facpres/577