Duality principle for image regularization and perceptual color correction models

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• dc.contributor.author Bertalmío, Marceloca
• dc.contributor.author Batard, Thomasca
• dc.date.accessioned 2017-03-07T09:40:01Z
• dc.date.available 2017-03-07T09:40:01Z
• dc.date.issued 2015
• dc.description Comunicació presentada a la 5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), celebrada a Lège-Cap Ferret (França) del dia 31 de maig al 4 de juny de 2015.
• dc.description.abstract In this paper, we show that the anisotropic nonlocal total variation involved in the image regularization model of Gilboa and Osher as well as in the perceptual color correction model of Bertalmío et al. possesses a dual formulation. We then obtain novel formulations of their solutions, which provide new insights on these models. In particular, we show that the model of Bertalmío et al. can be split into two steps: first, it performs global color constancy, then local contrast enhancement. We also extend these two channel-wise variational models in a vectorial way by extending the anisotropic nonlocal total variation to vector-valued functions.
• dc.description.sponsorship This work was supported by the European Research Council, Starting Grant ref. 306337, by the Spanish government, grant ref. TIN2012-38112, and by the Icrea Academia Award.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Batard T, Bertalmío M. Duality principle for image regularization and perceptual color correction models. In: Aujol JF, Nikolova M, Papadakis N, editors. Scale space and variational methods in computer vision; 2015 May 31-June 04; Lège-Cap Ferret (France). Switzerland: Springer; 2015. p. 449-460. DOI: 10.1007/978-3-319-18461-6_36
• dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-18461-6_36
• dc.identifier.issn 0302-9743
• dc.identifier.uri http://hdl.handle.net/10230/28182
• dc.language.iso eng
• dc.publisher Springerca
• dc.relation.ispartof Aujol JF, Nikolova M, Papadakis N, editors. Scale space and variational methods in computer vision; 2015 May 31-June 04; Lège-Cap Ferret (France). Switzerland: Springer; 2015. p. 449-460.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337
• 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/10.1007/978-3-319-18461-6_36
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Nonlocal variational problem
• dc.subject.keyword Duality principle
• dc.subject.keyword Contrast enhancement
• dc.subject.keyword Regularization
• dc.subject.keyword Perception
• dc.title Duality principle for image regularization and perceptual color correction modelsca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion