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SupervisedSolver normalization functions are wrong #143

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AnderBiguri opened this issue Nov 22, 2024 · 0 comments

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AnderBiguri commented Nov 22, 2024

They are called when normalization is turned on, but they use FDK for sino reconstruction, and normalize each independent image one by one.

This is wrong as the FDK of a noisy sino may normalize to a completely different range than the target due to noise amplification.

Normalization of physical data should be data-set wise, not sample per sample, and even bigger no sample/target independently.

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