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The methods proposed by Kashyap and Mittal ,  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.
Pattern Analysis and Machine Intelligence, IEEE Transactions on (Volume:PAMI-2 , Issue: 4 )
Date of Publication: July 1980