# tf.image.per_image_standardization

tf.image.per_image_standardization(image)


See the guide: Images > Image Adjustments

Linearly scales image to have zero mean and unit norm.

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: 3-D tensor of shape [height, width, channels].

#### Returns:

The standardized image with same shape as image.

#### Raises:

• ValueError: if the shape of 'image' is incompatible with this function.