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2022 | OriginalPaper | Chapter

Interference Level Estimation for a Blind Source Separation in Document Restoration

Authors : Antonio Boccuto, Ivan Gerace, Valentina Giorgetti

Published in: Computational Science and Its Applications – ICCSA 2022

Publisher: Springer International Publishing

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Abstract

We deal with the problem of blind separation of the components, in particular for documents corrupted by bleed-through and show-through. So, we analyze a regularization technique, which estimates the original sources, the interference levels and the blur operators. We treat the estimate of the interference levels, given the original sources and the blur operators. In particular, we investigate several GNC-type algorithms for minimizing the energy function. In the experimental results, we find which algorithm gives more precise estimates of the interference levels.

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next chapter A Blind Source Separation Technique for Document Restoration Based on Image Discrete Derivative
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Metadata
Title
Interference Level Estimation for a Blind Source Separation in Document Restoration
Authors
Antonio Boccuto
Ivan Gerace
Valentina Giorgetti
Copyright Year
2022
Book
Computational Science and Its Applications – ICCSA 2022

Print ISBN: 978-3-031-10521-0

Electronic ISBN: 978-3-031-10522-7

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-031-10522-7_30

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