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.
CITATION STYLE
da Costa Rocha, C., Deborah, H., & Hardeberg, J. Y. (2018). Ink bleed-through removal of historical manuscripts based on hyperspectral imaging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10884 LNCS, pp. 473–480). Springer Verlag. https://doi.org/10.1007/978-3-319-94211-7_51
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