Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Luca Calatroni, Marie d’Autume, Rob Hocking, Stella Panayotova, Simone Parisotto, Paola Ricciardi, Carola-Bibiane Schönlieb

ABSTRACT

The last 50 years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of engineering. The arts have been mostly overlooked in this process, apart from a few exceptional works in the last 10 years. With the rapid emergence of digitisation in the arts, however, the arts domain is becoming increasingly receptive to digital image processing methods and the importance of paying attention to this therefore increases. In this paper we discuss a range of mathematical methods for digital image restoration and digital visualisation for illuminated manuscripts. The latter provide an interesting opportunity for digital manipulation because they traditionally remain physically untouched. At the same time they also serve as an example for the possibilities mathematics and digital restoration offer as a generic and objective toolkit for the arts. More... »

PAGES

56

References to SciGraph publications

  • 2009-10. Entropy Minimization for Shadow Removal in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2018. Digital Cultural Heritage Imaging via Osmosis Filtering in IMAGE AND SIGNAL PROCESSING
  • 2007-07. Fast Image Inpainting Based on Coherence Transport in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2011-07. A Variational Framework for Exemplar-Based Image Inpainting in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2013. Linear Osmosis Models for Visual Computing in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
  • 2018-12. Reconstructing Van Gogh’s palette to determine the optical characteristics of his paints in HERITAGE SCIENCE
  • 2011. Virtual Restoration of the Ghent Altarpiece Using Crack Detection and Inpainting in ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS
  • 2005-04. A Statistical Approach to Texture Classification from Single Images in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40494-018-0216-z

    DOI

    http://dx.doi.org/10.1186/s40494-018-0216-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107208450


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Centre de Math\u00e9matiques Appliqu\u00e9es", 
              "id": "https://www.grid.ac/institutes/grid.462265.1", 
              "name": [
                "CMAP, \u00c9cole Polytechnique, Route de Saclay, 91128, Palaiseau, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Calatroni", 
            "givenName": "Luca", 
            "id": "sg:person.011330467565.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011330467565.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "French National Centre for Scientific Research", 
              "id": "https://www.grid.ac/institutes/grid.4444.0", 
              "name": [
                "CMLA, ENS Cachan, CNRS, Universit\u00e9 Paris-Saclay, 61 Avenue President Wilson, 94235, Cachan, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "d\u2019Autume", 
            "givenName": "Marie", 
            "id": "sg:person.010400050650.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010400050650.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "DAMTP, University of Cambridge, Wilberforce Road, CB3 0WA, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hocking", 
            "givenName": "Rob", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "Fitzwilliam Museum, University of Cambridge, Trumpington Street, CB2 1RB, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Panayotova", 
            "givenName": "Stella", 
            "id": "sg:person.012706527523.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012706527523.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "CCA, University of Cambridge, Wilberforce Road, CB3 0WA, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Parisotto", 
            "givenName": "Simone", 
            "id": "sg:person.013224736056.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013224736056.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "Fitzwilliam Museum, University of Cambridge, Trumpington Street, CB2 1RB, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ricciardi", 
            "givenName": "Paola", 
            "id": "sg:person.013144123367.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013144123367.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "DAMTP, University of Cambridge, Wilberforce Road, CB3 0WA, Cambridge, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sch\u00f6nlieb", 
            "givenName": "Carola-Bibiane", 
            "id": "sg:person.016335235037.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016335235037.52"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-642-23687-7_38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004307735", 
              "https://doi.org/10.1007/978-3-642-23687-7_38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-23687-7_38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004307735", 
              "https://doi.org/10.1007/978-3-642-23687-7_38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.sigpro.2012.07.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006235240"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11263-010-0418-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009632401", 
              "https://doi.org/10.1007/s11263-010-0418-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.sigpro.2012.09.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012173165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/344779.344972", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017343760"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.sigpro.2012.01.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019637156"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-40395-8_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026386499", 
              "https://doi.org/10.1007/978-3-642-40395-8_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11263-009-0243-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031360885", 
              "https://doi.org/10.1007/s11263-009-0243-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11263-009-0243-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031360885", 
              "https://doi.org/10.1007/s11263-009-0243-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.patcog.2005.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038197687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.patcog.2005.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038197687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11263-005-4635-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044718379", 
              "https://doi.org/10.1007/s11263-005-4635-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1117/12.912471", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049705405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10851-007-0017-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051586062", 
              "https://doi.org/10.1007/s10851-007-0017-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/83.902291", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061240267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/msp.2015.2402056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061424283"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/msp.2015.2406955", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061424289"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/msp.2015.2411753", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061424296"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tip.2004.833105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061641056"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tip.2014.2372479", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061644186"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/060671875", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062849764"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/080728548", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062854915"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/140954933", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062871830"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/15m1053554", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062874339"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/s0036139900368844", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062874657"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1531326.1531330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063156025"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/882262.882269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063173524"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5201/ipol.2015.136", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072705479"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/col.22162", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091229726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/col.22164", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091339906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.optlaseng.2017.10.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092272009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/16m1103737", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092881582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icip.2009.5413338", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093649126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iccv.1999.790383", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095367750"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/culture-computing.2011.10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095589643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icip.1998.999016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095826280"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/1.9780898717877", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098555799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/cbo9780511734304", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098665321"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/col.22197", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099668901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5201/ipol.2017.189", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099798784"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40494-018-0181-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101631894", 
              "https://doi.org/10.1186/s40494-018-0181-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40494-018-0181-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101631894", 
              "https://doi.org/10.1186/s40494-018-0181-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40494-018-0181-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101631894", 
              "https://doi.org/10.1186/s40494-018-0181-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-94211-7_44", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105216720", 
              "https://doi.org/10.1007/978-3-319-94211-7_44"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-12", 
        "datePublishedReg": "2018-12-01", 
        "description": "The last 50 years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of engineering. The arts have been mostly overlooked in this process, apart from a few exceptional works in the last 10 years. With the rapid emergence of digitisation in the arts, however, the arts domain is becoming increasingly receptive to digital image processing methods and the importance of paying attention to this therefore increases. In this paper we discuss a range of mathematical methods for digital image restoration and digital visualisation for illuminated manuscripts. The latter provide an interesting opportunity for digital manipulation because they traditionally remain physically untouched. At the same time they also serve as an example for the possibilities mathematics and digital restoration offer as a generic and objective toolkit for the arts.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s40494-018-0216-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2769283", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4576861", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4576864", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3956827", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1136235", 
            "issn": [
              "2050-7445"
            ], 
            "name": "Heritage Science", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "name": "Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts", 
        "pagination": "56", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "39bce6c9230a1948b9a988e19bc77ef3e37d263394e41e5672c2aef57abb1e42"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s40494-018-0216-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107208450"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s40494-018-0216-z", 
          "https://app.dimensions.ai/details/publication/pub.1107208450"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T01:13", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000539.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2Fs40494-018-0216-z"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40494-018-0216-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40494-018-0216-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40494-018-0216-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40494-018-0216-z'


     

    This table displays all metadata directly associated to this object as RDF triples.

    245 TRIPLES      21 PREDICATES      67 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s40494-018-0216-z schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N9bed3caf7c9e444ab17d8ee2766c7b31
    4 schema:citation sg:pub.10.1007/978-3-319-94211-7_44
    5 sg:pub.10.1007/978-3-642-23687-7_38
    6 sg:pub.10.1007/978-3-642-40395-8_3
    7 sg:pub.10.1007/s10851-007-0017-6
    8 sg:pub.10.1007/s11263-005-4635-4
    9 sg:pub.10.1007/s11263-009-0243-z
    10 sg:pub.10.1007/s11263-010-0418-7
    11 sg:pub.10.1186/s40494-018-0181-6
    12 https://doi.org/10.1002/col.22162
    13 https://doi.org/10.1002/col.22164
    14 https://doi.org/10.1002/col.22197
    15 https://doi.org/10.1016/j.optlaseng.2017.10.006
    16 https://doi.org/10.1016/j.patcog.2005.03.014
    17 https://doi.org/10.1016/j.sigpro.2012.01.016
    18 https://doi.org/10.1016/j.sigpro.2012.07.022
    19 https://doi.org/10.1016/j.sigpro.2012.09.027
    20 https://doi.org/10.1017/cbo9780511734304
    21 https://doi.org/10.1109/83.902291
    22 https://doi.org/10.1109/culture-computing.2011.10
    23 https://doi.org/10.1109/iccv.1999.790383
    24 https://doi.org/10.1109/icip.1998.999016
    25 https://doi.org/10.1109/icip.2009.5413338
    26 https://doi.org/10.1109/msp.2015.2402056
    27 https://doi.org/10.1109/msp.2015.2406955
    28 https://doi.org/10.1109/msp.2015.2411753
    29 https://doi.org/10.1109/tip.2004.833105
    30 https://doi.org/10.1109/tip.2014.2372479
    31 https://doi.org/10.1117/12.912471
    32 https://doi.org/10.1137/060671875
    33 https://doi.org/10.1137/080728548
    34 https://doi.org/10.1137/1.9780898717877
    35 https://doi.org/10.1137/140954933
    36 https://doi.org/10.1137/15m1053554
    37 https://doi.org/10.1137/16m1103737
    38 https://doi.org/10.1137/s0036139900368844
    39 https://doi.org/10.1145/1531326.1531330
    40 https://doi.org/10.1145/344779.344972
    41 https://doi.org/10.1145/882262.882269
    42 https://doi.org/10.5201/ipol.2015.136
    43 https://doi.org/10.5201/ipol.2017.189
    44 schema:datePublished 2018-12
    45 schema:datePublishedReg 2018-12-01
    46 schema:description The last 50 years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of engineering. The arts have been mostly overlooked in this process, apart from a few exceptional works in the last 10 years. With the rapid emergence of digitisation in the arts, however, the arts domain is becoming increasingly receptive to digital image processing methods and the importance of paying attention to this therefore increases. In this paper we discuss a range of mathematical methods for digital image restoration and digital visualisation for illuminated manuscripts. The latter provide an interesting opportunity for digital manipulation because they traditionally remain physically untouched. At the same time they also serve as an example for the possibilities mathematics and digital restoration offer as a generic and objective toolkit for the arts.
    47 schema:genre research_article
    48 schema:inLanguage en
    49 schema:isAccessibleForFree true
    50 schema:isPartOf N95358307f25d48d982b04786c2fe94e3
    51 Nb623a06c5fe94baaa461529a1ee5e227
    52 sg:journal.1136235
    53 schema:name Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts
    54 schema:pagination 56
    55 schema:productId N43a9d7754bf740b5bd94c73cedd82874
    56 Nad950d461bd44352909bd2736761da5a
    57 Nd4f292ffb07f4af4a91641f4fc053944
    58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107208450
    59 https://doi.org/10.1186/s40494-018-0216-z
    60 schema:sdDatePublished 2019-04-11T01:13
    61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    62 schema:sdPublisher N491f59ef3f694b56ab500f0a51513507
    63 schema:url http://link.springer.com/10.1186%2Fs40494-018-0216-z
    64 sgo:license sg:explorer/license/
    65 sgo:sdDataset articles
    66 rdf:type schema:ScholarlyArticle
    67 N077ea76ce417414dbaba1095e85cc9c5 rdf:first sg:person.012706527523.02
    68 rdf:rest N841c02e5ae054b15b6d4fe46483a834c
    69 N2348ae20cf0c400eb17e7490ea290594 rdf:first sg:person.016335235037.52
    70 rdf:rest rdf:nil
    71 N43a9d7754bf740b5bd94c73cedd82874 schema:name readcube_id
    72 schema:value 39bce6c9230a1948b9a988e19bc77ef3e37d263394e41e5672c2aef57abb1e42
    73 rdf:type schema:PropertyValue
    74 N46c86a1492b1416d9d9bd4332cdfc239 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    75 schema:familyName Hocking
    76 schema:givenName Rob
    77 rdf:type schema:Person
    78 N491f59ef3f694b56ab500f0a51513507 schema:name Springer Nature - SN SciGraph project
    79 rdf:type schema:Organization
    80 N5d343338c2c849fca19d2880dc551a49 rdf:first N46c86a1492b1416d9d9bd4332cdfc239
    81 rdf:rest N077ea76ce417414dbaba1095e85cc9c5
    82 N74bf6ccbcb754ecdb3fae1e6eb1ec2ce rdf:first sg:person.013144123367.73
    83 rdf:rest N2348ae20cf0c400eb17e7490ea290594
    84 N841c02e5ae054b15b6d4fe46483a834c rdf:first sg:person.013224736056.66
    85 rdf:rest N74bf6ccbcb754ecdb3fae1e6eb1ec2ce
    86 N95358307f25d48d982b04786c2fe94e3 schema:volumeNumber 6
    87 rdf:type schema:PublicationVolume
    88 N9bed3caf7c9e444ab17d8ee2766c7b31 rdf:first sg:person.011330467565.17
    89 rdf:rest Nda0a64841d3f401ea75ce9e9094751bb
    90 Nad950d461bd44352909bd2736761da5a schema:name doi
    91 schema:value 10.1186/s40494-018-0216-z
    92 rdf:type schema:PropertyValue
    93 Nb623a06c5fe94baaa461529a1ee5e227 schema:issueNumber 1
    94 rdf:type schema:PublicationIssue
    95 Nd4f292ffb07f4af4a91641f4fc053944 schema:name dimensions_id
    96 schema:value pub.1107208450
    97 rdf:type schema:PropertyValue
    98 Nda0a64841d3f401ea75ce9e9094751bb rdf:first sg:person.010400050650.44
    99 rdf:rest N5d343338c2c849fca19d2880dc551a49
    100 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    101 schema:name Information and Computing Sciences
    102 rdf:type schema:DefinedTerm
    103 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    104 schema:name Artificial Intelligence and Image Processing
    105 rdf:type schema:DefinedTerm
    106 sg:grant.2769283 http://pending.schema.org/fundedItem sg:pub.10.1186/s40494-018-0216-z
    107 rdf:type schema:MonetaryGrant
    108 sg:grant.3956827 http://pending.schema.org/fundedItem sg:pub.10.1186/s40494-018-0216-z
    109 rdf:type schema:MonetaryGrant
    110 sg:grant.4576861 http://pending.schema.org/fundedItem sg:pub.10.1186/s40494-018-0216-z
    111 rdf:type schema:MonetaryGrant
    112 sg:grant.4576864 http://pending.schema.org/fundedItem sg:pub.10.1186/s40494-018-0216-z
    113 rdf:type schema:MonetaryGrant
    114 sg:journal.1136235 schema:issn 2050-7445
    115 schema:name Heritage Science
    116 rdf:type schema:Periodical
    117 sg:person.010400050650.44 schema:affiliation https://www.grid.ac/institutes/grid.4444.0
    118 schema:familyName d’Autume
    119 schema:givenName Marie
    120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010400050650.44
    121 rdf:type schema:Person
    122 sg:person.011330467565.17 schema:affiliation https://www.grid.ac/institutes/grid.462265.1
    123 schema:familyName Calatroni
    124 schema:givenName Luca
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011330467565.17
    126 rdf:type schema:Person
    127 sg:person.012706527523.02 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    128 schema:familyName Panayotova
    129 schema:givenName Stella
    130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012706527523.02
    131 rdf:type schema:Person
    132 sg:person.013144123367.73 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    133 schema:familyName Ricciardi
    134 schema:givenName Paola
    135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013144123367.73
    136 rdf:type schema:Person
    137 sg:person.013224736056.66 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    138 schema:familyName Parisotto
    139 schema:givenName Simone
    140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013224736056.66
    141 rdf:type schema:Person
    142 sg:person.016335235037.52 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    143 schema:familyName Schönlieb
    144 schema:givenName Carola-Bibiane
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016335235037.52
    146 rdf:type schema:Person
    147 sg:pub.10.1007/978-3-319-94211-7_44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105216720
    148 https://doi.org/10.1007/978-3-319-94211-7_44
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/978-3-642-23687-7_38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004307735
    151 https://doi.org/10.1007/978-3-642-23687-7_38
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/978-3-642-40395-8_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026386499
    154 https://doi.org/10.1007/978-3-642-40395-8_3
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s10851-007-0017-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051586062
    157 https://doi.org/10.1007/s10851-007-0017-6
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s11263-005-4635-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044718379
    160 https://doi.org/10.1007/s11263-005-4635-4
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s11263-009-0243-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1031360885
    163 https://doi.org/10.1007/s11263-009-0243-z
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s11263-010-0418-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009632401
    166 https://doi.org/10.1007/s11263-010-0418-7
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1186/s40494-018-0181-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101631894
    169 https://doi.org/10.1186/s40494-018-0181-6
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1002/col.22162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091229726
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1002/col.22164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091339906
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1002/col.22197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099668901
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1016/j.optlaseng.2017.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092272009
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1016/j.patcog.2005.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038197687
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1016/j.sigpro.2012.01.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019637156
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1016/j.sigpro.2012.07.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006235240
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1016/j.sigpro.2012.09.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012173165
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1017/cbo9780511734304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098665321
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1109/83.902291 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061240267
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1109/culture-computing.2011.10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095589643
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1109/iccv.1999.790383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095367750
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1109/icip.1998.999016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095826280
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1109/icip.2009.5413338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093649126
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1109/msp.2015.2402056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061424283
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1109/msp.2015.2406955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061424289
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1109/msp.2015.2411753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061424296
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1109/tip.2004.833105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061641056
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1109/tip.2014.2372479 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061644186
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1117/12.912471 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049705405
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1137/060671875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062849764
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1137/080728548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062854915
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1137/1.9780898717877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098555799
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1137/140954933 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062871830
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1137/15m1053554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062874339
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1137/16m1103737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092881582
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1137/s0036139900368844 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062874657
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1145/1531326.1531330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063156025
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1145/344779.344972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017343760
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1145/882262.882269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063173524
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.5201/ipol.2015.136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072705479
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.5201/ipol.2017.189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099798784
    234 rdf:type schema:CreativeWork
    235 https://www.grid.ac/institutes/grid.4444.0 schema:alternateName French National Centre for Scientific Research
    236 schema:name CMLA, ENS Cachan, CNRS, Université Paris-Saclay, 61 Avenue President Wilson, 94235, Cachan, France
    237 rdf:type schema:Organization
    238 https://www.grid.ac/institutes/grid.462265.1 schema:alternateName Centre de Mathématiques Appliquées
    239 schema:name CMAP, École Polytechnique, Route de Saclay, 91128, Palaiseau, France
    240 rdf:type schema:Organization
    241 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
    242 schema:name CCA, University of Cambridge, Wilberforce Road, CB3 0WA, Cambridge, UK
    243 DAMTP, University of Cambridge, Wilberforce Road, CB3 0WA, Cambridge, UK
    244 Fitzwilliam Museum, University of Cambridge, Trumpington Street, CB2 1RB, Cambridge, UK
    245 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...