Linear RGB#

Tip

Functions#

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

Convert an sRGB image to linear RGB. Used in colorspace conversions.

Convention:: Converts nonlinear unit-range sRGB to linear RGB channelwise. It is the companion of linear_rgb_to_rgb and the required preparation for rgb_to_xyz.

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

Example

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

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

Convert a linear RGB image to sRGB. Used in colorspace conversions.

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

Example

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

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

Convert an image from sRGB to linear RGB.

See the Convention block on rgb_to_linear_rgb().

Reverses the gamma correction of sRGB to get linear RGB values for colorspace conversions. The image data is assumed to be in the range of \([0, 1]\)

Shape:

Example

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

References

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

Convert a linear RGB image to sRGB.

See the Convention block on linear_rgb_to_rgb().

Applies gamma correction to linear RGB values, at the end of colorspace conversions, to get sRGB.

Shape:

Example

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

References