colour.CAM_Specification_LLAB

class colour.CAM_Specification_LLAB(J: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, C: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, h: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, s: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, M: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, HC: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, a: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, b: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>)

Define the :math:`LLAB(l:c)` colour appearance model specification.

This specification has field names consistent with the remaining colour appearance models in colour.appearance but diverge from Fairchild (2013) reference.

Parameters:

• J (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Correlate of Lightness \(L_L\).

• C (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Correlate of chroma \(Ch_L\).

• h (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Hue angle \(h_L\) in degrees.

• s (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Correlate of saturation \(s_L\).

• M (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Correlate of colourfulness \(C_L\).

• HC (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Hue \(h\) composition \(H^C\).

• a (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Opponent signal \(A_L\).

• b (float | numpy.ndarray[Any, numpy.dtype[numpy.float16 | numpy.float32 | numpy.float64]] | None) – Opponent signal \(B_L\).

Notes

• This specification is the one used in the current model implementation.

References

[Fai13h], [LLK96], [LM96]

__init__(J: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, C: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, h: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, s: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, M: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, HC: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, a: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>, b: float | ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float16 | ~numpy.float32 | ~numpy.float64]] | None = <factory>) → None

Parameters:

• J (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

• C (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

• h (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

• s (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

• M (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

• HC (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

• a (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

• b (float | ndarray[Any, dtype[float16 | float32 | float64]] | None) –

Return type:

None

Methods

__init__([J, C, h, s, M, HC, a, b])
arithmetical_operation(a, operation[, in_place])	Perform given arithmetical operation with \(a\) operand on the dataclass-like class.

Attributes

fields	Getter property for the fields of the dataclass-like class.
items	Getter property for the dataclass-like class items, i.e. the field names and values.
keys	Getter property for the dataclass-like class keys, i.e. the field names.
values	Getter property for the dataclass-like class values, i.e. the field values.
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