def adjust_gamma(image, gamma=1, gain=1):
"""Performs Gamma Correction on the input image.
Also known as Power Law Transform. This function transforms the
input image pixelwise according to the equation Out = In**gamma
after scaling each pixel to the range 0 to 1.
(A mirror to tf.image adjust_gamma)
Args:
image : A Tensor.
gamma : A scalar. Non negative real number.
gain : A scalar. The constant multiplier.
Returns:
A Tensor. Gamma corrected output image.
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.
References:
[1] http://en.wikipedia.org/wiki/Gamma_correction
"""
return tf.image.adjust_gamma(image, gamma, gain)
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