tf.image.per_image_standardization
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. |