colour.recovery.sd_Jakob2019¶
- colour.recovery.sd_Jakob2019(coefficients: ArrayLike, shape: colour.colorimetry.spectrum.SpectralShape = SPECTRAL_SHAPE_JAKOB2019) colour.colorimetry.spectrum.SpectralDistribution [source]¶
Return a spectral distribution following the spectral model given by Jakob and Hanika (2019).
- Parameters
coefficients (ArrayLike) – Dimensionless coefficients for Jakob and Hanika (2019) reflectance spectral model.
shape (colour.colorimetry.spectrum.SpectralShape) – Shape used by the spectral distribution.
- Returns
Jakob and Hanika (2019) spectral distribution.
- Return type
References
[JH19]
Examples
>>> from colour.utilities import numpy_print_options >>> with numpy_print_options(suppress=True): ... sd_Jakob2019([-9e-05, 8.5e-02, -20], SpectralShape(400, 700, 20)) ... SpectralDistribution([[ 400. , 0.3143046...], [ 420. , 0.4133320...], [ 440. , 0.4880034...], [ 460. , 0.5279562...], [ 480. , 0.5319346...], [ 500. , 0.5 ...], [ 520. , 0.4326202...], [ 540. , 0.3373544...], [ 560. , 0.2353056...], [ 580. , 0.1507665...], [ 600. , 0.0931332...], [ 620. , 0.0577434...], [ 640. , 0.0367011...], [ 660. , 0.0240879...], [ 680. , 0.0163316...], [ 700. , 0.0114118...]], interpolator=SpragueInterpolator, interpolator_kwargs={}, extrapolator=Extrapolator, extrapolator_kwargs={...})