CIE XYZ#

Tip

Functions#

kornia.color.rgb_to_xyz(image)[source]#

Convert a RGB image to XYZ.

Convention:: This is the D65 linear-RGB-to-XYZ matrix transform. Pass linear RGB, for example from rgb_to_linear_rgb; nonlinear sRGB values are not linearized here.

Parameters:: image (Tensor) – RGB Image to be converted to XYZ with shape \((*, 3, H, W)\).
Return type:: Tensor
Returns:: XYZ version of the image with shape \((*, 3, H, W)\).

Example

>>> input = torch.rand(2, 3, 4, 5)
>>> output = rgb_to_xyz(input)  # 2x3x4x5

kornia.color.xyz_to_rgb(image)[source]#

Convert a XYZ image to RGB.

Convention:: This is the inverse D65 XYZ-to-linear-RGB matrix transform. Convert its result with linear_rgb_to_rgb when nonlinear sRGB is required.

Parameters:: image (Tensor) – XYZ Image to be converted to RGB with shape \((*, 3, H, W)\).
Return type:: Tensor
Returns:: RGB version of the image with shape \((*, 3, H, W)\).

Example

>>> input = torch.rand(2, 3, 4, 5)
>>> output = xyz_to_rgb(input)  # 2x3x4x5

class kornia.color.RgbToXyz(*args, **kwargs)[source]#

Convert an image from RGB to XYZ.

See the Convention block on rgb_to_xyz().

The image data is assumed to be in the range of (0, 1).

Shape:

Examples

>>> input = torch.rand(2, 3, 4, 5)
>>> xyz = RgbToXyz()
>>> output = xyz(input)  # 2x3x4x5

Reference:: [1] https://docs.opencv.org/4.0.1/de/d25/imgproc_color_conversions.html

class kornia.color.XyzToRgb(*args, **kwargs)[source]#

Converts an image from XYZ to RGB.

See the Convention block on xyz_to_rgb().

Shape:

Examples

>>> input = torch.rand(2, 3, 4, 5)
>>> rgb = XyzToRgb()
>>> output = rgb(input)  # 2x3x4x5

Reference:: [1] https://docs.opencv.org/4.0.1/de/d25/imgproc_color_conversions.html