colour.models.log_decoding_PivotedLog¶
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colour.models.
log_decoding_PivotedLog
(y, log_reference=445, linear_reference=0.18, negative_gamma=0.6, density_per_code_value=0.002)[source]¶ Defines the Josh Pines style Pivoted Log log decoding curve / electro-optical transfer function.
Parameters: - y (numeric or array_like) – Non-linear data \(y\).
- log_reference (numeric or array_like) – Log reference.
- linear_reference (numeric or array_like) – Linear reference.
- negative_gamma (numeric or array_like) – Negative gamma.
- density_per_code_value (numeric or array_like) – Density per code value.
Returns: Linear data \(x\).
Return type: numeric or ndarray
Notes
Domain Scale - Reference Scale - 1 y
[0, 1] [0, 1] Range Scale - Reference Scale - 1 x
[0, 1] [0, 1] References
Examples
>>> log_decoding_PivotedLog(0.434995112414467) # doctest: +ELLIPSIS 0.1...