Finding forgeries: Different strokes.
An article published in the week of November 22, 2004, in the Proceedings of the National Academy of Sciences by Hany Farid and his team at Dartmouth College in New Hampshire presents statistical techniques that strive to detect forgeries in the art world by examining art itself— the message, not th...
| Publicado en: | Economist Vol. 373; pp. 83 - 85 |
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| Formato: | Artículo |
| Publicado: |
Economist Newspaper Limited
11/27/2004
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507947663&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507947663 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00130613 ECO jtl: Economist issn: 00130613 maglogo: N pubinfo: dt: 11/27/2004 vid: 373 pid: 161 pub: Economist Newspaper Limited artinfo: ui: 507947663 ppf: 83 ppct: 2 formats: tig: atl: Finding forgeries: Different strokes. aug: su: Art -- Forgeries Wavelets (Mathematics) Digital image processing sug: subj: Art -- Forgeries Wavelets (Mathematics) Digital image processing ab: An article published in the week of November 22, 2004, in the Proceedings of the National Academy of Sciences by Hany Farid and his team at Dartmouth College in New Hampshire presents statistical techniques that strive to detect forgeries in the art world by examining art itself— the message, not the medium. Farid explains that his technique, called wavelet analysis, can be thought to focus on the nature of the artist's brushstroke to distinguish between genuine and forged paintings. Details are provided of the development of Farid's technique and its proven and possible applications. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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