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

Abstract

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).

Circadian metric variability measures for tunable LED light sources

“…The voxelization method has been previously adapted to measure color rendition variability 30 and damage to artwork. 31 Here, the metric is adopted to quantify the well-being impacts of light sources through quantification of circadian synchronization.…”

Development of a three-dimensional color rendition space for tunable solid-state light sources

“…Discretizing continuous data would result in unit cubes (voxels) that can allow quantifying the number of "unique" SPDs within a mcLED. This discritization concept has been previously applied to quantifying circadian metric variability [27] and damage to artwork [28] for tunable LED light sources. For color rendition, the accuracy of the discretized CRS would largely depend on choosing appropriate thresholds for the voxels.…”

Evaluation Factors and Pricing Stochastic Model of Contemporary Art

“…In general, aesthetic value is defined primarily by two factors: one is a physical property, and the other is an emotional attribute [20]. e physical beauty and texture of the figurative art bring consumers a wonderful sensory experience, and the emotional attributes at the subtle level are the subtle resonance caused by this aesthetic pleasure, which brings a new experience of body and mind.…”