Next Article in Journal
Granite Landscapes, Geodiversity and Geoheritage—Global Context
Previous Article in Journal
Review and New Evidence on the Molluscan Purple Pigment Used in the Early Late Bronze Age Aegean Wall Paintings
Previous Article in Special Issue
Quantitative Assessment of Impact and Sensitivity of Imaging Spectroscopy for Monitoring of Ageing of Archival Documents
Open AccessArticle

Characterizing Color Quality, Damage to Artwork, and Light Intensity of Multi-Primary LEDs for Museums

Department of Architectural Engineering, Pennsylvania State University, University Park, PA 16802, USA
Heritage 2021, 4(1), 188-197; https://doi.org/10.3390/heritage4010011
Received: 30 December 2020 / Revised: 10 January 2021 / Accepted: 15 January 2021 / Published: 17 January 2021
(This article belongs to the Special Issue Optical Technologies Applied to Cultural Heritage)
Light causes damage when it is absorbed by sensitive artwork, such as oil paintings. However, light is needed to initiate vision and display artwork. The dilemma between visibility and damage, coupled with the inverse relationship between color quality and energy efficiency, poses a challenge for curators, conservators, and lighting designers in identifying optimal light sources. Multi-primary LEDs can provide great flexibility in terms of color quality, damage reduction, and energy efficiency for artwork illumination. However, there are no established metrics that quantify the output variability or highlight the trade-offs between different metrics. Here, various metrics related to museum lighting (damage, the color quality of paintings, illuminance, luminous efficacy of radiation) are analyzed using a voxelated 3-D volume. The continuous data in each dimension of the 3-D volume are converted to discrete data by identifying a significant minimum value (unit voxel). Resulting discretized 3-D volumes display the trade-offs between selected measures. It is possible to quantify the volume of the graph by summing unique voxels, which enables comparison of the performance of different light sources. The proposed representation model can be used for individual pigments or paintings with numerous pigments. The proposed method can be the foundation of a damage appearance model (DAM). View Full-Text
Keywords: art conservation; cultural heritage; spectral optimization; color quality; LEDs; light intensity; illuminance; exposure; energy efficiency; damage art conservation; cultural heritage; spectral optimization; color quality; LEDs; light intensity; illuminance; exposure; energy efficiency; damage
Show Figures

Graphical abstract

MDPI and ACS Style

Durmus, D. Characterizing Color Quality, Damage to Artwork, and Light Intensity of Multi-Primary LEDs for Museums. Heritage 2021, 4, 188-197. https://doi.org/10.3390/heritage4010011

AMA Style

Durmus D. Characterizing Color Quality, Damage to Artwork, and Light Intensity of Multi-Primary LEDs for Museums. Heritage. 2021; 4(1):188-197. https://doi.org/10.3390/heritage4010011

Chicago/Turabian Style

Durmus, Dorukalp. 2021. "Characterizing Color Quality, Damage to Artwork, and Light Intensity of Multi-Primary LEDs for Museums" Heritage 4, no. 1: 188-197. https://doi.org/10.3390/heritage4010011

Find Other Styles

Article Access Map by Country/Region

1
Back to TopTop