tf.image.per_image_standardization(image)
Defined in tensorflow/python/ops/image_ops_impl.py
.
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.
image
: 3-D tensor of shape [height, width, channels]
.The standardized image with same shape as image
.
ValueError
: if the shape of 'image' is incompatible with this function.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/image/per_image_standardization