Harmonic flow for histogram matching

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  • dc.contributor.author Batard, Thomas
  • dc.contributor.author Bertalmío, Marcelo
  • dc.date.accessioned 2019-05-30T14:40:08Z
  • dc.date.available 2019-05-30T14:40:08Z
  • dc.date.issued 2014
  • dc.description Comunicació presentada a: 6th Pacific-Rim Symposium on Image and Video Technology Workshop, celebrat del 28-29 d'octubre de 2013 a Guanajuato, Mèxic.ca
  • dc.description.abstract We present a method to perform histogram matching be- tween two color images based on the concept of harmonic mapping be- tween Riemannian manifolds. The key idea is to associate the histogram of a color image to a Riemannian manifold. In this context, the energy of the matching between the two images is measured by the Dirichlet energy of the mapping between the Riemannian manifolds. Then, we assimilate optimal matchings to critical points of the Dirichlet energy. Such points are called harmonic maps. As there is no explicit expression for harmonic maps in general, we use a gradient descent ow with boundary condition to reach them, that we call harmonic ow. We present an application to color transfer, however many others applications can be envisaged using this general framework.en
  • dc.description.sponsorship This work was supported by European Research Council, Starting Grant ref. 306337. The second author acknowledges partial support by Spanish grants AACC, ref. TIN2011-15954-E, and Plan Nacional, ref. TIN2012-38112.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Batard T, Bertalmío M. Harmonic flow for histogram matching. In: Huang F, Sugimoto A, editors. Image and video technology – PSIVT 2013 Workshops; 2013 Oct 28-29; Guanajuato, México. Heidelberg: Springer Berlin; 2014. p. 145-56. (LNCS; no. 8334). DOI: 10.1007/978-3-642-53926-8_14
  • dc.identifier.doi http://dx.doi.org/10.1007/978-3-642-53926-8_14
  • dc.identifier.isbn 978-3-642-53925-1
  • dc.identifier.issn 0302-9743
  • dc.identifier.uri http://hdl.handle.net/10230/41665
  • dc.language.iso eng
  • dc.publisher Springer
  • dc.relation.ispartof Huang F, Sugimoto A, editors. Image and video technology – PSIVT 2013 Workshops; 2013 Oct 28-29; Guanajuato, México. Heidelberg: Springer Berlin; 2014. p. 145-56. (LNCS; no. 8334)
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2011-15954-E
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-38112
  • dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-53926-8_14
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Histogram matchingen
  • dc.subject.keyword Variational methoden
  • dc.subject.keyword Riemannian geometryen
  • dc.subject.keyword Dirichlet energyen
  • dc.subject.keyword Color transferen
  • dc.title Harmonic flow for histogram matchingen
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/acceptedVersion

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