adjust_gamma(image, gamma=1, gain=1)

Also known as Power Law Transform. This function transforms the input image pixelwise according to the equation O = I**gamma after scaling each pixel to the range 0 to 1.

Notes

For gamma greater than 1, the histogram will shift towards left and the output image will be darker than the input image.

For gamma less than 1, the histogram will shift towards right and the output image will be brighter than the input image.

Parameters

image : ndarray

Input image.

gamma : float, optional

Non negative real number. Default value is 1.

gain : float, optional

The constant multiplier. Default value is 1.

Returns

out : ndarray

Gamma corrected output image.

Performs Gamma Correction on the input image.

See Also

adjust_log

Examples

This example is valid syntax, but we were not able to check execution

>>> from skimage import data, exposure, img_as_float
... image = img_as_float(data.moon())
... gamma_corrected = exposure.adjust_gamma(image, 2)
... # Output is darker for gamma > 1
... image.mean() > gamma_corrected.mean()
True

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.exposure.exposure.adjust_log skimage.exposure.exposure.adjust_gamma skimage.exposure.exposure.adjust_sigmoid

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