The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography

Research output: Contribution to conferencePresentation

Abstract

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.
Original languageAmerican English
StatePublished - May 20 2012
EventSociety for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS) - Hong Kong, China
Duration: May 12 2014 → …

Conference

ConferenceSociety for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS)
Period05/12/14 → …

Keywords

  • Block component averaging algorithm
  • Computed tomography

DC Disciplines

  • Mathematics

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