Linearly scales each image in image
to have mean 0 and variance 1.
tf.image.per_image_standardization(
image
)
For each 3-D image x
in image
, computes (x - mean) / adjusted_stddev
,
where
mean
is the average of all values in x
adjusted_stddev = max(stddev, 1.0/sqrt(N))
is capped away from 0 to
protect against division by 0 when handling uniform images
N
is the number of elements in x
stddev
is the standard deviation of all values in x
Args |
image
|
An n-D Tensor with at least 3 dimensions, the last 3 of which are the
dimensions of each image.
|
Returns |
A Tensor with same shape and dtype as image .
|
Raises |
ValueError
|
if the shape of 'image' is incompatible with this function.
|