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New Methods for Picture Reconstruction: Recursive and Causal Techniques

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2 Author(s)
Nelson D. A. Mascarenhas ; Instituto Tecnológico de Aeronáutica, Centro Técnico Aeroespacial, São José dos Campos, S.P., Brazil; Instituto de Pesquisas Espaciais, Conselho Nacional de Desenvolvimento Cientifico e Tecnológico, São José dos Campos, S.P., Brazil. ; Luiz F. V. Fernandes

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:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-2 ,  Issue: 4 )