Incorporating Block Iterations to Compressed Sensing Based Algorithms for Computed Tomography
In this talk, we will incorporate block iterations to a diagonally-relaxed orthogonal projection algorithm with the total variation minimization for computed tomography image reconstruction in the compressed sensing framework and derive its convergence. Numerical experiments will be performed to verify the convergence of the new algorithm.
Southeastern-Atlantic Regional Conference on Differential Equations (SEARCDE)
"Incorporating Block Iterations to Compressed Sensing Based Algorithms for Computed Tomography."
Mathematical Sciences Faculty Presentations.