colour.colorimetry.correction Module¶

Spectral Bandpass Dependence Correction¶

Defines objects to perform spectral bandpass dependence correction.

The following correction methods are available:

• bandpass_correction_stearns1988(): Stearns and Stearns (1988) spectral bandpass dependence correction method.

colour.colorimetry.correction.bandpass_correction_stearns1988(spd)[source]¶

Implements spectral bandpass dependence correction on given spectral power distribution using Stearns and Stearns (1988) method.

References

[1]	Stephen Westland, Caterina Ripamonti, Vien Cheung, Computational Colour Science Using MATLAB, 2nd Edition, The Wiley-IS&T Series in Imaging Science and Technology, published July 2012, ISBN-13: 978-0-470-66569-5, page 38.

Parameters:	spd (SpectralPowerDistribution) – Spectral power distribution.
Returns:	Spectral bandpass dependence corrected spectral power distribution.
Return type:	SpectralPowerDistribution

Examples

>>> from colour import SpectralPowerDistribution
>>> data = {510: 49.67, 520: 69.59, 530: 81.73, 540: 88.19}
>>> spd = SpectralPowerDistribution('Spd', data)
>>> corrected_spd = bandpass_correction_stearns1988(spd)
>>> corrected_spd.values  
array([ 48.01664   ,  70.3729688...,  82.0919506...,  88.72618   ])

colour.colorimetry.correction.BANDPASS_CORRECTION_METHODS = CaseInsensitiveMapping({u'Stearns 1988': <function bandpass_correction_stearns1988 at 0x102cf1500>})¶

Supported spectral bandpass dependence correction methods.

BANDPASS_CORRECTION_METHODS : dict

(‘Stearns 1988’,)

colour.colorimetry.correction.bandpass_correction(spd, method=u'Stearns 1988')[source]¶

Implements spectral bandpass dependence correction on given spectral power distribution using given method.

Parameters:	spd (SpectralPowerDistribution) – Spectral power distribution. method (unicode) – (‘Stearns 1988’,) Correction method.
Returns:	Spectral bandpass dependence corrected spectral power distribution.
Return type:	SpectralPowerDistribution