Color Gamut computation using neural networks

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dc.contributor.authorMalek, A.
dc.contributor.authorHosseinipour-Mahani, N.
dc.contributor.authorEzazipour, S.
dc.date.accessioned2024-07-12T20:56:16Z
dc.date.available2024-07-12T20:56:16Z
dc.date.issued2009en_US
dc.departmentMaltepe Üniversitesi, İnsan ve Toplum Bilimleri Fakültesien_US
dc.description.abstractIn this research our focus is on image gamuts of digital images. We discuss the implication of gamut and introduce a mathematical method for describing and visualizing color gamuts. We apply a novel neural network model to solve the associated optimization problem with an image gamut, that described first by Joachin Giesen et al. (2006). The optimal solution of the corresponding constrained optimization problems gives the cofficients of a function that is used for drawing the gamut boundary. Two work examples are demonstrated to show the feasibility and efficiency of this approach. Numerical results are given.en_US
dc.identifier.citationMalek, A., Hosseinipour-Mahani, N. ve Ezazipour, S. (2009). Color Gamut computation using neural networks. International Conference on Mathematical Sciences, Maltepe Üniversitesi. s. 46-47.en_US
dc.identifier.endpage47en_US
dc.identifier.isbn9786052124154
dc.identifier.startpage46en_US
dc.identifier.urihttps://www.maltepe.edu.tr/icms20/en/previous-conferences-of-icms-
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2954
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference on Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07883
dc.subjectColor gamuten_US
dc.subjectGamut mappingen_US
dc.subjectOptimization problemsen_US
dc.subjectNeural networksen_US
dc.titleColor Gamut computation using neural networksen_US
dc.typeConference Object
dspace.entity.typePublication

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