dc.contributor.author | Rocha, Cristian da Costa | |
dc.contributor.author | Deborah, Hilda | |
dc.contributor.author | Hardeberg, Jon Yngve | |
dc.date.accessioned | 2019-05-10T10:53:51Z | |
dc.date.available | 2019-05-10T10:53:51Z | |
dc.date.created | 2019-01-11T09:27:42Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Lecture Notes in Computer Science. 2018, 10884 LNCS 473-480. | nb_NO |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/11250/2597238 | |
dc.description.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. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer | nb_NO |
dc.title | Ink bleed-through removal of historical manuscripts based on hyperspectral imaging | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 473-480 | nb_NO |
dc.source.volume | 10884 LNCS | nb_NO |
dc.source.journal | Lecture Notes in Computer Science | nb_NO |
dc.identifier.doi | 10.1007/978-3-319-94211-7_51 | |
dc.identifier.cristin | 1654622 | |
dc.relation.project | Norges forskningsråd: 221073 | nb_NO |
dc.description.localcode | This is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Computer Science ] Locked until 30.06.2019 due to copyright restrictions. The final authenticated version is available online at: http://dx.doi.org/[10.1007/978-3-319-94211-7_51] | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |