CIE 224:2017 CIE 2017 Colour Fidelity Index for accurate scientific use. CIE January, 2017.
CIE 224:2017 CIE 2017 Colour Fidelity Index for accurate scientific use [link]Paper  abstract   bibtex   
CIE - INTERNATIONAL COMMISSION ON ILLUMINATION This colour fidelity index, based on the fidelity index of the Illuminating Engineering Society of North America, defined in TM-30-15, addresses aspects for only the first part of the limitations of the CRI – it does not address the need for perception-related colour quality measure(s) beyond fidelity. However, it does address several previously reported inaccuracies of the CRI as a colour fidelity measure. The important improvements of this measure, relative to the CRI, are the update of the colour difference calculation, in particular the object colour space, and the incorporation of 99 test-colour samples which provide a more uniform distribution of slope and curvature values as a function of wavelength and which have colour appearance values that are more widely and uniformly distributed in the three dimensions of a uniform colour space. The general colour fidelity index, Rf, represents how closely the colour appearances of the entire sample set are reproduced (rendered) on average by a test light as compared to those under a reference illuminant. Thus, similar to the general colour rendering index, Ra, the general colour fidelity index, Rf, combines the computed colour differences for all test-colour samples in one single average index value, and is only one aspect of colour quality not considering perception/preference effects. Therefore, it is considered that such unintended uses of CRI as an overall colour quality measure for end users is not better fulfilled by the more scientifically accurate general colour fidelity index, Rf. This is because the users’ evaluation is influenced by factors beyond colour fidelity such as chroma effects, and the detailed nature of specific illumination tasks.
@book{cie_cie_2017,
	title = {{CIE} 224:2017  {CIE} 2017 {Colour} {Fidelity} {Index} for accurate scientific use},
	isbn = {ISBN 978-3-902842-61-9},
	url = {http://www.cie.co.at/publications/cie-2017-colour-fidelity-index-accurate-scientific-use-0},
	abstract = {CIE - INTERNATIONAL COMMISSION ON ILLUMINATION
 This colour fidelity index, based on the fidelity index of the Illuminating Engineering Society of North America, defined in TM-30-15, addresses aspects for only the first part of the limitations of the CRI – it does not address the need for perception-related colour quality measure(s) beyond fidelity. However, it does address several previously reported inaccuracies of the CRI as a colour fidelity measure. The important improvements of this measure, relative to the CRI, are the update of the colour difference calculation, in particular the object colour space, and the incorporation of 99 test-colour samples which provide a more uniform distribution of slope and curvature values as a function of wavelength and which have colour appearance values that are more widely and uniformly distributed in the three dimensions of a uniform colour space. 
The general colour fidelity index, Rf, represents how closely the colour appearances of the entire sample set are reproduced (rendered) on average by a test light as compared to those under a reference illuminant. Thus, similar to the general colour rendering index, Ra, the general colour fidelity index, Rf, combines the computed colour differences for all test-colour samples in one single average index value, and is only one aspect of colour quality not considering perception/preference effects. Therefore, it is considered that such unintended uses of CRI as an overall colour quality measure for end users is not better fulfilled by the more scientifically accurate general colour fidelity index, Rf. This is because the users’ evaluation is influenced by factors beyond colour fidelity such as chroma effects, and the detailed nature of specific illumination tasks.},
	language = {en},
	urldate = {2017-10-06},
	author = {CIE},
	month = jan,
	year = {2017},
	keywords = {Colorimetry},
}

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