Color Preference under LEDs with Diminished Yellow Emission

Mao, Wei; Houser, Kevin W.; Allen, G. R.; Beers, W.W.

doi:10.1080/15502724.2013.865212

Cited by 81 publications

(78 citation statements)

References 39 publications

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“…In this case, we would like to conclude that unlike lighting fidelity which should be correlated with certain reference light source, colour preference is to some extent an absolute issue and thus should be quantified by some absolute measures. Another possible explanation for the results in Figure 5 is that colour preference is correlated with saturation 22,32,37 while the increased gamut area is always related to saturation (or chroma) enhancement 6,9,21,23,53 . Maybe that is why in some related works 2,11,23 the GAI was reported to be a good predictor for colour preference (the CDI and CSA are also gamut based metrics, but were less discussed in past studies).…”

Section: Correlation Analysismentioning

confidence: 94%

Light dominates colour preference when correlated colour temperature differs

Huang

Liu

Westland

et al. 2017

Lighting Research & Technology

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Colour preference of lighting is generally influenced by three kinds of contextual factors, which are the features of light, object and observer. In this study, a series of psychophysical experiments were conducted to investigate and compare the effect of certain factors on colour preference, including spectral power distribution of light, lighting application, observers' personal colour preference, regional cultural difference and gender difference. Certain LED lights with different correlated colour temperatures were used to illuminate a wide selection of objects. Participant response was quantified by a 7-point rating method or a 5-level ranking method. It was found that the preferred illumination for different objects exhibited a similar trend and the influence of light was significantly stronger than that of other factors. Therefore, we conclude that the light itself (rather than, for example, the objects that are viewed) is the most crucial factor for predicting which light, among several candidates with different CCTs, an observer will prefer. In addition, some of the gamut-based colour quality metrics correlated well with the participants' response, which corroborates the viewpoint that colour preference is strongly influenced by colour saturation. Moreover, the familiarity of the object affects the ratings for each experiment while the colour of the objects also influences colour preference.

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Section: Correlation Analysismentioning

confidence: 94%

Light dominates colour preference when correlated colour temperature differs

Huang

Liu

Westland

et al. 2017

Lighting Research & Technology

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“…The experimenter instructed the participant not to focus on small areas in the booth, but to consider the overall brightness of the two booths. 15,19,20 Note that two earlier studies directly compared the simultaneous and sequential (5-second stimulus intervals) modes of evaluation for judgments of spatial brightness, concluding that these two experimental methods yielded similar judgments of spatial brightness. 21,22 The location of the two stimuli was counterbalanced between experimental days as described earlier; the dimming source (i.e.…”

Section: Brightness Matchingmentioning

confidence: 99%

“…4 Light sources that increase relative gamut area in comparison to the reference illuminants are penalized by Ra, but tend to be well-liked by users. 15 In practice, however, the vast majority of commercially available light sources (both fluorescent and LED) with Ra in the 80s are characterized by moderate colour fidelity and de-saturation. Therefore, a typical light source with Ra in the 90s improves both colour fidelity and saturation, making a comparison more legitimate.…”

Section: Introductionmentioning

confidence: 99%

Perceptual responses to LED illumination with colour rendering indices of 85 and 97

Mao

Houser

David

et al. 2014

Lighting Research & Technology

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A light source's ability to render colours and whites is one aspect of lighting quality. Since better colour rendition generally comes with a penalty in luminous efficacy, it is reasonable to consider the balance: Should colour and whiteness rendition be sacrificed to achieve higher efficacy? Here, we investigate perceptual responses under illumination from two sources, a blue-pumped LED with a colour rendering index of 85 (BLED85), and a violet-pumped LED with a colour rendering index of 97 (VLED97). Forty-eight participants completed three experiments. Neutral, red, and pink were preferred under VLED97. Skin rendition was preferred by Caucasians under VLED97; Asians had no preference. Teeth and a white shirt were whiter and more preferred under VLED97. We conclude that the colour and whiteness rendition must be considered on a par with luminous efficacy.

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“…Likely there are numerous situations in which such aesthetic considerations will matter greatly yet a color fidelity metric does not assess them. Other attributes of color rendering include memory [Smet and others 2012], discrimination [Royer and others 2011], preference [Wei, Houser, Allen, and Beers 2014], and fluorescence effects [Houser and others 2014;. See Houser and others [2013] for a recent review.…”

Section: Limitations Of a Fidelity Metricmentioning

confidence: 99%

Tutorial: Color Rendering and Its Applications in Lighting

Houser

Mossman

Smet

et al. 2015

LEUKOS

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This tutorial explains how the human perception of color rendering arises, in terms of the underlying phenomena of light and vision, and using those concepts it presents a clear explanation of the CIE Color Rendering Index. The strengths and weaknesses of the CIE Color Rendering Index are reviewed and some common misunderstandings about color rendering are addressed. It is suitable for self-study, with learning outcomes stated at the beginning and a conceptual summary provided at the end. KEYWORDS Learning OutcomesIt is our intent that, after studying this article, the reader will:1. be able to explain the basic concept of color rendering 1 -what is being measured, why is it important, and how it influences the design and selection of electric light sources; 2. feel familiar with basic concepts of optical science and color vision that are required to understand color rendering: spectral power distribution, correlated color temperature, chromaticity, spectral reflectance function, chromatic adaptation, color appearance; 3. be able to describe the basic concepts underlying color rendering: test illuminant, reference illuminant, test color samples, color shift, color difference; 4. understand that the current CIE method for calculating the General ColorRendering Index (R a ) 2 is useful but not perfectly accurate: it is being updated to further improve its accuracy; 5. understand that R a is a limited measure; by definition it overlooks important factors that may also warrant consideration by other methods: (a) objects will sometimes appear a slightly different color when illuminated with lamps of different color temperature, even if both lamps have perfect color rendering; (b) Special Color Rendering Index (R i ) values can provide information about how a lamp causes color shifts for specific test color samples; and (c) beyond the concept of color rendering, there are other ways to summarize the color shifts that occur with lamps that have imperfect color rendering, which may be helpful for some lighting applications-in other words, color rendering does not tell the full story.7

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Color Preference under LEDs with Diminished Yellow Emission

Cited by 81 publications

References 39 publications

Light dominates colour preference when correlated colour temperature differs

Light dominates colour preference when correlated colour temperature differs

Perceptual responses to LED illumination with colour rendering indices of 85 and 97

Tutorial: Color Rendering and Its Applications in Lighting

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