Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Siegel, J.A., Saukko, P.J.: Encyclopedia of Forensic Sciences. Academic Press, Cambridge (2013). ISBN 978-0-12-382165-2
Pelagotti, A., et al.: Forensic imaging for art diagnostics. What evidence should we trust?, IOP Conf. Ser.: Mater. Sci. Eng. 949, 012076 (2020). https://doi.org/10.1088/1757-899X/949/1/012076, ISSN 17578981
Gultebpe, E., Thomas, E., Conturo, M.M.: Predicting and grouping digitized paintings by style using unsupervised feature learning. J. Cult. Herit. 31, 13–23 (2018). https://doi.org/10.1016/j.culher.2017.11.008, ISSN 1296-2074
Dohnal, M.: Barevne videni. Kolorimetrie, Univerzita Pardubice (2019). ISBN 978-80-7560-246-6
Ehkan, P., Siew, S.V., Zakaria, F.F., Warip, M.N.M., Ilyas, M.Z.: Comparative study of parallelism and pipelining of RGB to HSL colour space conversion architecture on FPGA. IOP Conf. Ser.: Mater. Sci. Eng. 767, 012054 (2020)
Dohnal, M.: Fyzikalni zaklady reprodukce obrazu, Univerzita Pardubice (2007). ISBN 978-80-7194-945-9
Koh-i-Noor, the official website 2021. https://www.koh-i-noor.cz/
Adobe, the official website (2021). https://www.adobe.com/
Pantone, the official website (2021). https://www.pantone.com/eu/en/color-finder
Unity, the official website (2021). https://docs.unity3d.com/Manual/index.html
Unsplash (2021). https://unsplash.com/backgrounds/art/texture
Acknowledgment
This research was based on the support of the author of the painting, Mr. Michal Pasma, and of the International Grand Agency of Thomas Bata University in Zlin, IGA/CebiaTech/2021/004, and the Department of Security Engineering, Faculty of Applied Informatics.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Drofova, I., Adamek, M. (2021). Analysis of Counterfeits Using Color Models for the Presentation of Painting in Virtual Reality. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Application in Informatics. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-90318-3_49
Download citation
DOI: https://doi.org/10.1007/978-3-030-90318-3_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90317-6
Online ISBN: 978-3-030-90318-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)