colour.quality.ColourRendering_Specification_CIE2017

class colour.quality.ColourRendering_Specification_CIE2017(name: str, sd_reference: colour.colorimetry.spectrum.SpectralDistribution, R_f: float, R_s: numpy.ndarray, CCT: float, D_uv: float, colorimetry_data: Tuple[Tuple[colour.quality.cfi2017.TCS_ColorimetryData_CIE2017, ...], Tuple[colour.quality.cfi2017.TCS_ColorimetryData_CIE2017, ...]], delta_E_s: numpy.ndarray)[source]

Define the CIE 2017 Colour Fidelity Index (CFI) colour quality specification.

Parameters

  • name (str) – Name of the test spectral distribution.

  • sd_reference (colour.colorimetry.spectrum.SpectralDistribution) – Spectral distribution of the reference illuminant.

  • R_f (float) – CIE 2017 Colour Fidelity Index (CFI) \(R_f\).

  • R_s (numpy.ndarray) – Individual colour fidelity indexes data for each sample.

  • CCT (float) – Correlated colour temperature \(T_{cp}\).

  • D_uv (float) – Distance from the Planckian locus \(\Delta_{uv}\).

  • colorimetry_data (Tuple[Tuple[colour.quality.cfi2017.TCS_ColorimetryData_CIE2017, ...], Tuple[colour.quality.cfi2017.TCS_ColorimetryData_CIE2017, ...]]) – Colorimetry data for the test and reference computations.

  • delta_E_s (numpy.ndarray) – Colour shifts of samples.

Return type

None

__init__(name: str, sd_reference: colour.colorimetry.spectrum.SpectralDistribution, R_f: float, R_s: numpy.ndarray, CCT: float, D_uv: float, colorimetry_data: Tuple[Tuple[colour.quality.cfi2017.TCS_ColorimetryData_CIE2017, ...], Tuple[colour.quality.cfi2017.TCS_ColorimetryData_CIE2017, ...]], delta_E_s: numpy.ndarray) → None
Parameters
Return type

None

Methods

__init__(name, sd_reference, R_f, R_s, CCT, ...)

Attributes

name

sd_reference

R_f

R_s

CCT

D_uv

colorimetry_data

delta_E_s

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