Probabilistic and Bayesian fusion
Fusion in image processing: specific features and digital approaches
Article REF: TE5230 V1
Probabilistic and Bayesian fusion
Fusion in image processing: specific features and digital approaches

Authors : Isabelle BLOCH, Henri MAÎTRE

Publication date: May 10, 2002 | Lire en français

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3. Probabilistic and Bayesian fusion

3.1 Information measures

When a set of l images Ij is available, the first task is often to transform it into a smaller, simpler subset, without losing any information.

A principal component analysis approach is often employed, which projects each image onto the eigenvectors of the correlation matrix, thus obtaining l new decorrelated images, ranked in descending order of energy. Truncation...

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