The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography
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.
Society for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS)
"The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography."
Mathematical Sciences Faculty Presentations.