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Ink bleed-through removal of historical manuscripts based on hyperspectral imaging

Rocha, Cristian da Costa; Deborah, Hilda; Hardeberg, Jon Yngve
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2597238
Date
2018
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  • Institutt for datateknologi og informatikk [3873]
  • Publikasjoner fra CRIStin - NTNU [20955]
Original version
Lecture Notes in Computer Science. 2018, 10884 LNCS 473-480.   10.1007/978-3-319-94211-7_51
Abstract
Old manuscripts can be degraded by different reasons over time. The ink bleed-through from the back side of the page is a common problem which compromises the readability and the aesthetics of the document. Unsupervised bleed-through removal is a challenging task as pixel intensity of bleed-through areas can be very similar to fine-details of the writing. This paper provides a brief review about state-of-the-art methods for bleed-through removal. Moreover, we propose an algorithm for the segmentation of the bleed-through areas from a manuscript collected from the National Library of Oslo using hyperspectral imaging. This work also presents the restoration of the collected manuscript applying inpainting algorithms based on our segmentation approach.
Publisher
Springer
Journal
Lecture Notes in Computer Science

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