Effects of Inter-Observer Variation on Color Rendering Metrics

Murdoch, MichaelJ.; Fairchild, MarkD.

doi:10.2352/issn.2169-2629.2017.32.187

Cited by 2 publications

(1 citation statement)

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“…With these ideas and the proposed algorithms in hand, we now assess the effect of changing from a standard observer, to a person who has a “non‐standard” set of cone fundamental functions. Previously, others have approached this by using CAM02‐UCS, and effectively changing the cone fundamentals from those of a standard observer to those of a selected individual 75 . In some situations, that approach likely works well, but in others that is not the case.…”

Section: Modeling the Impact Of Individual Differences On Color Appearancementioning

confidence: 99%

Color appearance model incorporating contrast adaptation—Implications for individual differences in color vision

Smet¹,

Webster

Whitehead

2021

Color Research & Application

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Color appearance models are usually based on equations with fixed numerical coefficients that were predetermined to yield optimal agreement for a selected standard observer. Here we address the well‐known fact that, among color‐normal observers, there are significant differences of cone fundamentals, which often cause observer metamerism. This is not fully addressed by many appearance models. It might seem that observer metamerism could be accurately predicted by substituting an individual's color matching functions into an otherwise‐unchanged color appearance model, but this is not assured because the model's coefficients were not designed for the new observer. Here we explore a solution related to how the visual system tends to compensate for changes in color information arising from variations cone fundamentals. For this purpose, we developed a simple color appearance model that uses only a few numerical coefficients, yet accurately predicts the perceptual attributes of Munsell samples under a selected standard lighting condition. We then added a feedback loop to adjust the model coefficients automatically, in response to switching between the cone fundamentals for different observers. This feature is intended to model long term contrast adaptation in the vision system by maintaining the average long‐term levels of color contrast. Incorporating this adaptation principle into color appearance models could allow better assessments of displays and illumination systems, to help improve color appearances for most observers.

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Section: Modeling the Impact Of Individual Differences On Color Appearancementioning

confidence: 99%

Color appearance model incorporating contrast adaptation—Implications for individual differences in color vision

Smet¹,

Webster

Whitehead

2021

Color Research & Application

View full text Add to dashboard Cite

show abstract

Modelling the effects of inter-observer variation on colour rendition

Murdoch

2017

Lighting Research & Technology

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The colour rendition characteristics of light sources are quantified with measures based on CIE standard observers, which are reasonable representations of population averages. However, even among people with normal colour vision, the natural range of variation in colour sensitivity means any individual may see something different than the standard observer. Modelling results quantify the effects of these inter-observer differences on colour rendition measures defined by IES TM-30-15. In general, inter-observer differences tend to be smaller for light sources with high colour fidelity values, and they are affected by spectral characteristics of different lighting technologies. The magnitude of variation in colour rendition measures, up to 5–10 units in IES TM-30-15 ( Rf, Rg), measures is compared with other sources of variability and ambiguity.

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Effects of Inter-Observer Variation on Color Rendering Metrics

Cited by 2 publications

References 0 publications

Color appearance model incorporating contrast adaptation—Implications for individual differences in color vision

Color appearance model incorporating contrast adaptation—Implications for individual differences in color vision

Modelling the effects of inter-observer variation on colour rendition

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