A New Measure of Color Discrimination

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About this Course

The IES offers a series of webinars that provide supplemental education to coincide with a recently revised or new IES Standard (Recommended Practice - RP, Technical Memorandum - TM, etc.). TM-30, in 2018 and Beyond: Guidance for Improving Color Quality is part of the IES Standards Webinars

Description: Color rendition is commonly considered within three conceptual frameworks; color fidelity (the rendition of objects such that they appear as they would under a familiar reference illuminant), color preference (the rendition of objects such that they appear pleasant, vivid, or flattering), and color discrimination (the ability to distinguish colors of slightly different hue when viewed simultaneously). Color discrimination has been studied less frequently than color fidelity or color preference, though it is no less important. This presentation will summarize the previous literature on color discrimination and discuss recent work in this area. A recently published study by the current speaker will be discussed, which dispels the conventional wisdom that gamut area is a predictive color discrimination metric. This presentation will detail a new measure of color discrimination, which shows strong predictive ability of experimental results.

Learning Objectives:

By the end of this course learners will be able to...

1. Explore a method of modeling color discrimination and color rendition.   
2. Understand elements of color rendition, and TM-30.   
3. Explore an in-depth study of the relationship of gamut area and color discrimination.    
4. Describe the limitations of current color metrics. 


A New Measure of Color Discrimination
Open to view video.
Open to view video. This video is required for course completion.
10 Questions  |  Unlimited attempts  |  7/10 points to pass
10 Questions  |  Unlimited attempts  |  7/10 points to pass This quiz is required for course completion.
3 Questions
3 Questions This survey is required for course completion.
1.00 CEU credit  |  Certificate available
1.00 CEU credit  |  Certificate available

Tony Esposito, PhD

Tony Esposito holds a doctorate in Architectural Engineering from Penn State University with a minor in statistics. His specialties include color science, color discrimination, human factors research methods, circadian metrics, and spectral modeling and optimization. His primary research goal is to develop an accurate and intuitive color discrimination metric for applied lighting.

Tony is a former graduate education fellow to the National Science Foundation, has won the Robert J. Besal Scholarship four times, is a recipient of the 2019 Richard Kelly Grant, and is a recipient of the 2019 Walsh Weston Award from The Society of Light and Lighting for the best fundamental lighting research paper published in Lighting Research and Technology. He currently serves as a voting member of the IES Color Committee, formerly lead the task group that developed IES TM-30 ANNEX E and F (recommended specification criteria using IES TM-30), and is the Founder and Head Research Scientist of Lighting Research Solutions LLC.