Adjust the brightness of RGB or Grayscale images.
tf.image.adjust_brightness(
image, delta
)
Used in the notebooks
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)>
Args |
|---|
image
|
RGB image or images to adjust.
|
delta
|
A scalar. Amount to add to the pixel values.
|
Returns |
|---|
A brightness-adjusted tensor of the same shape and type as image.
|
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TensorFlow 1 version
View source on GitHub