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 :
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