Adjust the brightness of RGB or Grayscale images.
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Compat aliases for migration
See Migration guide for more details.
tf.image.adjust_brightness(
image, delta
)
Used in the notebooks
Used in the tutorials |
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This is a convenience method that converts RGB images to float representation, adjusts their brightness, and then converts them back to the original data type. If several adjustments are chained, it is advisable to minimize the number of redundant conversions.
The value delta
is added to all components of the tensor image
. image
is
converted to float
and scaled appropriately if it is in fixed-point
representation, and delta
is converted to the same data type. For regular
images, delta
should be in the range (-1,1)
, as it is added to the image
in floating point representation, where pixel values are in the [0,1)
range.
Usage Example:
x = [[[1.0, 2.0, 3.0],
[4.0, 5.0, 6.0]],
[[7.0, 8.0, 9.0],
[10.0, 11.0, 12.0]]]
tf.image.adjust_brightness(x, delta=0.1)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 1.1, 2.1, 3.1],
[ 4.1, 5.1, 6.1]],
[[ 7.1, 8.1, 9.1],
[10.1, 11.1, 12.1]]], dtype=float32)>
Returns | |
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A brightness-adjusted tensor of the same shape and type as image .
|