image to have zero mean and unit variance.
This op computes
(x - mean) / adjusted_stddev, where
mean is the average
of all values in image, and
adjusted_stddev = max(stddev, 1.0/sqrt(image.NumElements())).
stddev is the standard deviation of all values in
image. It is capped
away from zero to protect against division by 0 when handling uniform images.
image: An n-D Tensor where the last 3 dimensions are
[height, width, channels].
The standardized image with same shape as
ValueError: if the shape of 'image' is incompatible with this function.