A Blind Source Separation Technique for Document Restoration Based on Image Discrete Derivative-Reference-Cited by-同舟云学术

A Blind Source Separation Technique for Document Restoration Based on Image Discrete Derivative

Published:2022 Issue: Volume: Page:445-461
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2022
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Author:

Boccuto Antonio^ORCID,Gerace Ivan^ORCID,Giorgetti Valentina^ORCID,Valenti Gabriele

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10522-7_31

Reference17 articles.

1. Boccuto, A., Gerace, I., Giorgetti, V.: A blind source separation technique for document restoration. SIAM J. Imaging Sci. 12(2), 1135–1162 (2019)

2. Boccuto, A., Gerace, I., Giorgetti, V., Valenti, G.: A Blind Source Separation Technique for Document Restoration Based on Edge Estimation. http://viXra.org/abs/2201.0141 (2022)

3. Chan, T.-H., Ma, W.-K., Chi, C.-Y., Wang, Y.: A convex analysis framework for blind separation of non-negative sources. IEEE Trans. Signal Process. 56(10), 5120–5134 (2008)

4. Cichocki, A., Zdunek, R., Amari, S.-I.: New algorithms for non-negative matrix factorization in applications to blind source separation. In: Proceedings of the 2006 IEEE International Conference Acoustics, Speech and Signal Processing, Toulouse, France, pp. 1–4 (2006)

5. Comon, P.: Independent component analysis, a new concept? Signal Process. 36, 287–314 (1994)

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