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Název: | Analysis of counterfeits using color models for the presentation of painting in virtual reality |
Autor: | Drofová, Irena; Adámek, Milan |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | Lecture Notes in Networks and Systems. 2021, vol. 232 LNNS, p. 609-620 |
ISSN: | 2367-3370 (Sherpa/RoMEO, JCR) |
ISBN: | 978-3-03-090317-6 |
DOI: | https://doi.org/10.1007/978-3-030-90318-3_49 |
Abstrakt: | The black market for counterfeit works of art is the third most lucrative in the world. The digitalization of art and introduction into the virtual environment allows for a high rate of these counterfeit works. The issue of verifying original works in the online environment currently brings new challenges in the field of forensic science, in particular fields of color vision and working with light, colors, and color models, thus opening new approaches of art verification and presentation. This article deals with image processing and digitalization in color fields and their definition in color spaces. In order to determine a color model of a digitally processed image and for a specific color used, authentic artwork is analyzed by graphic software. This text aims to find and define the same color tone with the actual color tone of the original artwork in the digital environment and color spaces. The definition of color can be an attribute for verifying the originality of a work of art in a digital environment. At present, a precise definition of the color of a painting can help to achieve more accurate reproduction of artwork in a virtual reality environment and its visual perception by the user. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Plný text: | https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_49 |
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