Convergent block-iterative algorithms for image reconstruction from inconsistent data

It has been shown that convergence to a solution can be significantly accelerated for a number of iterative image reconstruction algorithms, including simultaneous Cimmino-type algorithms, the "expectation maximization" method for maximizing likelihood (EMML) and the simultaneous multiplic...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 6; H. 9; S. 1296 - 1304
1. Verfasser:	Byrne, C.L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.09.1997 Institute of Electrical and Electronics Engineers
Schlagworte:	Acceleration Applied sciences Bismuth Exact sciences and technology Feedback Image converters Image processing Image reconstruction Information, signal and communications theory Iterative algorithms Iterative methods Limit-cycles Partitioning algorithms Reconstruction algorithms Signal processing Telecommunications and information theory Image processing Algebraic method Tomography Iterative method Image restoration Algorithm Image reconstruction
ISSN:	1057-7149, 1941-0042
Online-Zugang:	Volltext
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