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Contribution to Book
A Block Components Average Algorithm for Compressed Sensing Based Tomography
Proceedings of the International Symposium on Photonics and Optoelectronics (2011)
  • Xiezhang Li, Georgia Southern University
  • Jiehua Zhu, Georgia Southern University
Abstract
The constrained total variation minimization has been developed successfully for image reconstruction in computerized tomography. The convergence of the block cyclic projection and Cimmino algorithms for compressed sensing based tomography have been proved recently. In this paper, a block component averaging algorithm incorporation to the total variation minimization in the compressed sensing framework is proposed. The convergence of the new algorithm is derived in certain case. An example is given to illustrate its convergence behavior.
Keywords
  • total convergence,
  • block component average algorithm,
  • compressed sensing,
  • constrained total variation minimization,
  • image reconstruction,
  • computerized tomography,
  • block cyclic projection,
  • Cimmino algorithms
Disciplines
Publication Date
May 16, 2011
Publisher
IEEE
ISBN
978-1-4244-6554-5
DOI
10.1109/SOPO.2011.5780399
Citation Information
Xiezhang Li and Jiehua Zhu. "A Block Components Average Algorithm for Compressed Sensing Based Tomography" Wuhan, ChinaProceedings of the International Symposium on Photonics and Optoelectronics (2011) p. 1 - 4
Available at: http://works.bepress.com/jiehua_zhu/9/