A colour harmony rendering index based on predictions of colour harmony impression

Szabó, Ferenc; Bodrogi, Peter Zsolt; Schanda, J.

doi:10.1177/1477153509103067

Cited by 53 publications

(36 citation statements)

References 13 publications

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“…Researchers are beginning to agree that a full description of light quality actually includes many different aspects, such as fidelity 1,6 , preference 7,8 , naturalness 2,9 , vividness 3,10,11 , harmony 12 and discrimination 13,14 . Therefore, describing the quality of a light source with only one metric is not sufficient [15][16][17][18] .…”

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.

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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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“…Thus CRI is not expected to provide a satisfactory means of discriminating between the brightness of lighting from different lamps (indeed it was never intended to do so) and this is more so as new lighting technologies such as light emitting diodes (LEDs) start to be considered for road lighting for which it is acknowledged that CRI fails to predict even colour rendering properties. 6,7 Thus, further experimental work was carried out to identify a better means of specification.…”

Section: Introductionmentioning

confidence: 99%

Predicting lamp spectrum effects at mesopic levels. Part 1: Spatial brightness

Fotios

Cheal

2011

Lighting Research & Technology

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This paper reports on experimental work carried out to test metrics for predicting spatial brightness at mesopic levels under lamps of different spectral power distribution. The side-by-side matching technique was used following an extensive review of experimental design. Five different types of lamps were presented in all 10 possible pairs, these being selected to compare brightness predictions based on established characteristics of lamp spectrum such as colour rendering index, correlated colour temperature and the scotopic/photopic ratio. The results were also used to test proposed systems for predicting brightness and visual performance at mesopic levels. Of the lamp characteristics examined the scotopic/photopic ratio exhibited the highest correlation with the test results. The new CIE recommended system for visual performance based mesopic photometry was found to give an acceptable prediction of the brightness results.

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“…First, energy efficiency is only the most critical performance issue for incandescent bulbs. Other technologies had their own problems, for example flickering and modulation (fluorescent lighting) (Bruxdrett, Grifft, and Boyce 1973, Wilkins and Clark 1990, Veitch and McColl 1995, Berman et al 1997) and color rendering (LEDs) (Sándor and Schanda 2006, Szabó, Bodrogi, and Schanda 2009, Pousset, Rougié, and Razet 2010, Alvi et al 2011, Smet et al 2012). Second, improved energy efficiency was not what the consumers asked for; the pressure to increase energy efficiency instead came mainly from policy in the form of investments in research of more efficient lighting technologies, new regulations (e.g.…”

Section: Expectation Effectsmentioning

confidence: 99%

Self-reinforcing Mechanisms in a Multi-technology Industry: Understanding Sustained Technological Variety in a Context of Path Dependency

Onufrey

Bergek

2015

Industry and Innovation

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This paper studies self-reinforcing mechanisms in multi-technology industries, i.e. industries in which technological lock-in does not occur and several technologies continue to co-exist.The purpose of this paper is to investigate what kind of self-reinforcing mechanisms can be present in such industries and explain how multiple paths can co-exist and interact in a context of self-reinforcement and, ultimately, path dependency. Building on the empirical example of the lighting industry, the paper shows that all previously recognized types of selfreinforcing mechanisms can be present in a multi-technology industry. However, in addition to the path-internal positive feedbacks and cross-path negative externalities identified in single-path settings, multi-technology industries also experience positive cross-path externalities that create a symbiotic relationship between alternatives and allow for the reproduction of the same development pattern across technologies. Due to the existence of such non-negative technology interactions, multi-technology industries can be path dependent while still retaining technological variety.

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A colour harmony rendering index based on predictions of colour harmony impression

Cited by 53 publications

References 13 publications

Light dominates colour preference when correlated colour temperature differs

Light dominates colour preference when correlated colour temperature differs

Predicting lamp spectrum effects at mesopic levels. Part 1: Spatial brightness

Self-reinforcing Mechanisms in a Multi-technology Industry: Understanding Sustained Technological Variety in a Context of Path Dependency

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