• DocumentCode
    3329519
  • Title

    The Block Diagonally-Relaxed Orthogonal Projection Algorithm for Compressed Sensing Based Tomography

  • Author

    Zhu, Jiehua ; Li, Xiezhang

  • Author_Institution
    Dept. of Math. Sci., Georgia Southern Univ., Statesboro, GA, USA
  • fYear
    2011
  • fDate
    16-18 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a block diagonally-relaxed orthogonal projection algorithm incorporated into the total variation minimization for computed tomography image reconstruction in the compressed sensing framework and derive its convergence. A numerical experiment is performed to illustrate the convergence of the new algorithm.
  • Keywords
    computerised tomography; convergence of numerical methods; image reconstruction; block diagonally-relaxed orthogonal projection algorithm; compressed sensing based tomography; computed tomography; image reconstruction; numerical convergence; total variation minimization; Compressed sensing; Computed tomography; Convergence; Image reconstruction; Signal processing algorithms; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics and Optoelectronics (SOPO), 2011 Symposium on
  • Conference_Location
    Wuhan
  • ISSN
    2156-8464
  • Print_ISBN
    978-1-4244-6555-2
  • Type

    conf

  • DOI
    10.1109/SOPO.2011.5780660
  • Filename
    5780660
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3329519