Review of measures for light-source color rendition and considerations for a two-measure system for characterizing color rendition

Houser, Kevin W.; Mao, Wei; David, Aurélien; Krames, Michael R.; Shen, Xiangyou Sharon

doi:10.1364/oe.21.010393

Cited by 117 publications

(98 citation statements)

References 23 publications

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“…As a bonus, this would also make it consistent with their interpretation of a second MDS analysis on CCT-renormalized metrics, whereby the second axis did not refer to 'preference' (see Figure 4 in Houser et al 51 ).…”

Section: Mds Analysissupporting

confidence: 68%

“…31,[34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49] For an overview of past and recent work on colour rendition in general and a review of some of the other colour rendition metrics, the reader is referred to the literature. [50][51][52][53][54] A review of the work on memory and preferred colours in general can be found in Smet et al 55 …”

Section: Introductionmentioning

confidence: 99%

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Memory and preferred colours and the colour rendition of white light sources

Smet¹,

Hanselaer²

2015

Lighting Research & Technology

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The application of memory and preferred colours to colour rendition evaluation of white light sources is reviewed. Four metrics are discussed: Sanders' preferred colour index, Judd's flattery index, Thornton's colour preference index and Smet's memory colour rendition index. Following a review of the metrics themselves, the paper continues with a discussion of their predictive performance in terms of agreement with psychophysical data on visual appreciation and naturalness perception. Their performance was also compared to that of several other colour rendition metrics and the impact on the predictive performance of a metric's emphasis on chroma enhancement has been evaluated.

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Section: Mds Analysissupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Memory and preferred colours and the colour rendition of white light sources

Smet¹,

Hanselaer²

2015

Lighting Research & Technology

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“…In 1967 Judd [56] proposed the Flattery index. In 1972 Thornton For comprehensive reviews about color rendering metrics, the reader may refer to [75,125].…”

Section: Indices For Assessing the Quality Of Lightmentioning

confidence: 99%

A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design

Carlucci

Causone

Rosa

et al. 2015

Renewable and Sustainable Energy Reviews

321

156

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In the last decades, several studies aimed at assessing some specified aspects of visual comfort characterizing the relationship between the human needs and the light environment, such as an available amount of light, light uniformity, light quality in rendering colors, and predicting the risk of glare for space occupants. For each of them, a (still growing) number of indices and metrics have been proposed in literature and standards. In the present work, they are described, categorized according to common features, and finally discussed. As in the case of long-term thermal comfort indices, such visual comfort indices and their summation over a specified calculation period might be used for driving optimization processes to support a more conscious integrated design of buildings. To that purpose, the choice among the available visual comfort indices needs to be informed by an analysis of their features and implications. We present recommendations for use, and suggest areas where improvement is needed for their use in optimization processes to support buildings' design.

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“…Therefore, describing the quality of a light source with only one metric is not sufficient [15][16][17][18] . To solve this problem, numerous efforts have been made 2-5, 10-14, 19, 20 .…”

Section: Introductionmentioning

confidence: 99%

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.

show abstract

Review of measures for light-source color rendition and considerations for a two-measure system for characterizing color rendition

Cited by 117 publications

References 23 publications

Memory and preferred colours and the colour rendition of white light sources

Memory and preferred colours and the colour rendition of white light sources

A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design

Light dominates colour preference when correlated colour temperature differs

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