Color Gamut computation using neural networks

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Date

2009

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Publisher

Maltepe Üniversitesi

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CC0 1.0 Universal
info:eu-repo/semantics/openAccess

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Abstract

In 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.

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Keywords

Color gamut, Gamut mapping, Optimization problems, Neural networks

Journal or Series

International Conference on Mathematical Sciences

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Citation

Malek, A., Hosseinipour-Mahani, N. ve Ezazipour, S. (2009). Color Gamut computation using neural networks. International Conference on Mathematical Sciences, Maltepe Üniversitesi. s. 46-47.