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A variational method for the optimization of tone mapping operators

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dc.contributor.author Cyriac, Praveen
dc.contributor.author Batard, Thomas
dc.contributor.author Bertalmío, Marcelo
dc.date.accessioned 2019-05-30T14:40:14Z
dc.date.available 2019-05-30T14:40:14Z
dc.date.issued 2014
dc.identifier.citation Cyriac P, Batard T, Bertalmío M. A variational method for the optimization of tone mapping operators. In: Klette R, Rivera M, Satoh S, editors. Image and video technology: 6th Pacific-Rim Symposium, (PSIVT 2013); 2013 Oct 28 - Nov 1; Guanajuato, México. Heidelberg: Springer Berlin; 2014. p. 505-16. (LNCS; no. 8333). DOI:10.1007/978-3-642-53842-1_43
dc.identifier.isbn 978-3-642-53842-1
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10230/41666
dc.description Comunicació presentada a: 6th Pacific-Rim Symposium on Image and Video Technology, celebrat del 28 d'octubre a 1 de novembre de 2013 a Guanajuato, Mèxic.
dc.description.abstract Given any metric that compares images of di erent dynamic range, we propose a method to reduce their distance with respect to this metric. The key idea is to consider the metric as a non local operator. Then, we transform the problem of distance reduction into a non local variational problem. In this context, the low dynamic range image having the smallest distance with a given high dynamic range is the minimum of a suitable energy, and can be reached through a gradient descent algorithm. Dealing with an appropriate metric, we present an application to Tone Mapping Operator (TMO) optimization. We apply our gradient descent algorithm, where the initial conditions are Tone Mapped (TM) images. Experiments show that our algorithm does reduce the distance of the TM images with the high dynamic range source images, meaning that our method improves the corresponding TMOs.
dc.description.sponsorship This work was supported by the European Research Council, Starting Grant ref. 306337, and by Spanish grants ref. TIN2011-15954-E and ref. TIN2012-38112.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Klette R, Rivera M, Satoh S, editors. Image and video technology: 6th Pacific-Rim Symposium, (PSIVT 2013); 2013 Oct 28 - Nov 1; Guanajuato, México. Heidelberg: Springer Berlin; 2014. p. 505-16. (LNCS; no. 8333).
dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-53842-1_43
dc.title A variational method for the optimization of tone mapping operators
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-642-53842-1_43
dc.subject.keyword Tone mapping
dc.subject.keyword Dynamic range independent metric
dc.subject.keyword Contrast distortion
dc.subject.keyword Variational methods
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.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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