Abstract
The quality of building electric lighting systems can be assessed using color rendition metrics. However, color rendition metrics are limited in quantifying tunable solid-state light sources, since tunable lighting systems can generate a vast number of different white light spectra, providing flexibility in terms of color quality and energy efficiency. Previous research suggests that color rendition is multi-dimensional in nature, and it cannot be simplified to a single number. Color shifts under a test light source in comparison to a reference illuminant, changes in color gamut, and color discrimination are important dimensions of the quality of electric light sources, which are not captured by a single-numbered metric. To address the challenges in color rendition characterization of modern solid-state light sources, the development of a multi-dimensional color rendition space is proposed. The proposed continuous measure can quantify the change in color rendition ability of tunable solid-state light devices with caveats. Future work, discretization of the continuous color rendition space, will be carried out to address the shortcomings of a continuous three-dimensional space.
| Original language | English (US) |
|---|---|
| Title of host publication | 29th Color and Imaging Conference - Color Science and Engineering Systems, Technologies, and Applications, CIC 2021 - Proceedings |
| Publisher | Society for Imaging Science and Technology |
| Pages | 136-140 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780892083572 |
| DOIs | |
| State | Published - 2021 |
| Event | 29th Color and Imaging Conference - Color Science and Engineering Systems, Technologies, and Applications, CIC 2021 - Virtual, Online Duration: Nov 1 2021 → Nov 4 2021 |
Publication series
| Name | Final Program and Proceedings - IS and T/SID Color Imaging Conference |
|---|---|
| Volume | 2021-November |
| ISSN (Print) | 2166-9635 |
| ISSN (Electronic) | 2169-2629 |
Conference
| Conference | 29th Color and Imaging Conference - Color Science and Engineering Systems, Technologies, and Applications, CIC 2021 |
|---|---|
| City | Virtual, Online |
| Period | 11/1/21 → 11/4/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
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