tf.image.per_image_standardization(image)
Defined in tensorflow/python/ops/image_ops_impl.py.
Linearly scales 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.
Args:
image: An n-D Tensor where the last 3 dimensions are[height, width, channels].
Returns:
The standardized image with same shape as image.
Raises:
ValueError: if the shape of 'image' is incompatible with this function.