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Technical advantages bridging the preservation limits of painted decoration of Neolithic ceramic figurines

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F25%3A00144362" target="_blank" >RIV/00216224:14210/25:00144362 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://polipapers.upv.es/index.php/var/article/view/22755/17473" target="_blank" >https://polipapers.upv.es/index.php/var/article/view/22755/17473</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4995/var.2024.22755" target="_blank" >10.4995/var.2024.22755</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Technical advantages bridging the preservation limits of painted decoration of Neolithic ceramic figurines

  • Popis výsledku v původním jazyce

    Painting on ceramic objects is one of the most outstanding features of visual narration of the Neolithic material culture in Southeastern and partly in Central Europe. Unfortunately, post-firing painting is usually poorly preserved due to deposition conditions. Moreover, it may have been damaged or contaminated during post-excavation and conservation processes in the past. New methods of visual detection of pigment traces bring about a higher success rate in the identification of pigment traces and the reconstruction of motifs, leading to both more targeted protection without contaminants and a broader understanding of the motifs preferred by Neolithic societies in their narrative expression. Decorrelation algorithms have been widely used to analyse rock art and wall paintings, but their application to fragile pigments on mobile artefacts remains limited. DStretch, a key tool in this process, enhances colour contrasts in digital images to detect faint pigment traces, which are often overlooked in standard macroscopic analysis. By applying DStretch to high-resolution photographs or 3D model textures, we can identify pigment residues without damaging the object. The algorithm's versatility extends to different colour channels, making it possible to detect subtle traces across different pigments, improving overall data preservation and analysis.378 fragments of Neolithic ceramic figurines from the Lengyel culture site Těšetice-Kyjovice - Sutny, the largest known collection in central Europe, have been analysed. The DStretch results were verified using reflected-light microscopy, and samples of the most commonly used pigments were analysed by Raman spectroscopy. Previously, painting the figurines was considered a minor practice, amounting to 25 % of the collection at most. Using our methods, it is revealed that almost 60 % of figurines were painted, despite the intensive removal of pigments during post-excavation surface cleaning. New data on the structure and origin of pigments were collected as well as data concerning the nature of the motifs.

  • Název v anglickém jazyce

    Technical advantages bridging the preservation limits of painted decoration of Neolithic ceramic figurines

  • Popis výsledku anglicky

    Painting on ceramic objects is one of the most outstanding features of visual narration of the Neolithic material culture in Southeastern and partly in Central Europe. Unfortunately, post-firing painting is usually poorly preserved due to deposition conditions. Moreover, it may have been damaged or contaminated during post-excavation and conservation processes in the past. New methods of visual detection of pigment traces bring about a higher success rate in the identification of pigment traces and the reconstruction of motifs, leading to both more targeted protection without contaminants and a broader understanding of the motifs preferred by Neolithic societies in their narrative expression. Decorrelation algorithms have been widely used to analyse rock art and wall paintings, but their application to fragile pigments on mobile artefacts remains limited. DStretch, a key tool in this process, enhances colour contrasts in digital images to detect faint pigment traces, which are often overlooked in standard macroscopic analysis. By applying DStretch to high-resolution photographs or 3D model textures, we can identify pigment residues without damaging the object. The algorithm's versatility extends to different colour channels, making it possible to detect subtle traces across different pigments, improving overall data preservation and analysis.378 fragments of Neolithic ceramic figurines from the Lengyel culture site Těšetice-Kyjovice - Sutny, the largest known collection in central Europe, have been analysed. The DStretch results were verified using reflected-light microscopy, and samples of the most commonly used pigments were analysed by Raman spectroscopy. Previously, painting the figurines was considered a minor practice, amounting to 25 % of the collection at most. Using our methods, it is revealed that almost 60 % of figurines were painted, despite the intensive removal of pigments during post-excavation surface cleaning. New data on the structure and origin of pigments were collected as well as data concerning the nature of the motifs.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    60102 - Archaeology

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA22-28334S" target="_blank" >GA22-28334S: Neolitické plastiky ve světle analytických dat. Technologie výroby, doklady používání, mechanismy fragmentace a depozice.</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    VIRTUAL ARCHAEOLOGY REVIEW

  • ISSN

    1989-9947

  • e-ISSN

    1989-9947

  • Svazek periodika

    16

  • Číslo periodika v rámci svazku

    33

  • Stát vydavatele periodika

    ES - Španělské království

  • Počet stran výsledku

    23

  • Strana od-do

    127-149

  • Kód UT WoS článku

    001544979300009

  • EID výsledku v databázi Scopus

    2-s2.0-105011867714