Referenced Items are not available for this document.
The methods proposed by Kashyap and Mittal [1], [2] for the reconstruction of pictures from projections are reformulated under a regression model. These reinterpretations are based on least-squares and Bayesian formulations of a statistical linear model and lead to the derivation of recursive and causal algorithms which are more efficient. Experimental results with simulation of the filters are also presented.
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:PAMI-2
,
Issue:
4
)
Date of Publication: July 1980
- Page(s):
- 369 - 376
- ISSN :
- 0162-8828
- Digital Object Identifier :
- 10.1109/TPAMI.1980.4767036
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 27 January 2009
- Issue Date :
- July 1980
- Sponsored by :
- IEEE Computer Society
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