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New Methods for Picture Reconstruction: Recursive and Causal Techniques
April 1980 (vol. 2 no. 4)
pp. 369-376
Nelson D. A. Mascarenhas, Instituto Tecnológico de Aeron´utica, Centro Técnico Aeroespacial, São José dos Campos, S.P., Brazil; Instituto de Pesquisas Espaciais, Conselho Nacional de Desenvolvimento
Luiz F. V. Fernandes, Instituto Tecnológico de Aeron´utica, Centro Técnico Aeroespacial, São José dos Campos, S.P., Brazil.
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.
Citation:
Nelson D. A. Mascarenhas, Luiz F. V. Fernandes, "New Methods for Picture Reconstruction: Recursive and Causal Techniques," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 2, no. 4, pp. 369-376, April 1980, doi:10.1109/TPAMI.1980.4767036
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