2024 #2 Tymchenko T.

« 2024. # 2 (176)

The Ethnology Notebooks. 2024. № 2 (176), 415—425

UDK 7.025’174




  • Сandidate of Аrts (Ph. D), Associate Professor,
  • Head of Department of Techniques & Restoration of Artworks,
  • National Academy of Fine Arts and Architecture,
  • 20, Voznesenskyi Uzviz Street, 04053, Kyiv, Ukraine,
  • e-mail:


  • PhD student, Faculty of Theory & History of Art,
  • National Academy of Fine Arts and Architecture,
  • 20, Voznesenskyi Uzviz Street, 04053, Kyiv, Ukraine,
  • e-mail:

Abstract. Introduction. This article explores how modern digital technologies are transforming the analysis and comprehension of easel paintings. It emphasizes the significance and benefits of digitally processing and reproducing high-quality images. This not only disseminates knowledge about easel paintings but also facilitates their thorough examination, especially considering limited access to originals in museum collections.

Problem Statement. The article examines the role of ICT in acquiring new insights into paintings by renowned artists through the adoption of innovative techniques in technological and art historical expertise. It also explores the potential of ICT in popularizing museum artifacts and enhancing interaction with visitors.

Purpose. The aim of the article is to explore how implementing ICT tools, like machine learning algorithms and artificial intelligence automate recognition processes for styles, techniques, and characteristics, across various facets of research on easel paintings in recent decades provide rapid access to information and foster knowledge dissemination among researchers.

Methods. To achieve the stated objective, research methods such as historical, source-study, factual, and the method of systematization of obtained data and results were employed. Their outcomes deepen understanding of art history and spur the development of novel analysis and interpretation methods for easel paintings. They include the utilization of high-quality digital images for the analysis and classification of paintings using machine learning algorithms and artificial intelligence.

Results. Implementation of innovative digital technologies, including virtual reality, augmented reality, machine learning, and artificial intelligence, has significantly improved accessibility and comprehension of easel paintings.

In conclusion, this article underscores ICT’s transformative role in studying and appreciating easel paintings. By harnessing digital technologies, researchers can surmount access barriers and delve deeper into the realm of art, enriching our understanding of cultural heritage and artistic expression. The ongoing collaboration between technology and art promises continued exploration and discovery in the field of art history.

Keywords: easel painting, museum, technological and art historical expertise, information and communication technologies, neural networks, artificial intelligence, virtual reality, augmented reality.


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