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dc.contributor.authorRocha, Cristian da Costa
dc.contributor.authorDeborah, Hilda
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2019-05-10T10:53:51Z
dc.date.available2019-05-10T10:53:51Z
dc.date.created2019-01-11T09:27:42Z
dc.date.issued2018
dc.identifier.citationLecture Notes in Computer Science. 2018, 10884 LNCS 473-480.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2597238
dc.description.abstractOld 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.isoengnb_NO
dc.publisherSpringernb_NO
dc.titleInk bleed-through removal of historical manuscripts based on hyperspectral imagingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber473-480nb_NO
dc.source.volume10884 LNCSnb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-94211-7_51
dc.identifier.cristin1654622
dc.relation.projectNorges forskningsråd: 221073nb_NO
dc.description.localcodeThis 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.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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