Randomly changes jpeg encoding quality for inducing jpeg noise.
tf.image.random_jpeg_quality(
image, min_jpeg_quality, max_jpeg_quality, seed=None
)
min_jpeg_quality must be in the interval [0, 100] and less than
max_jpeg_quality.
max_jpeg_quality must be in the interval [0, 100].
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.random_jpeg_quality(x, 75, 95)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=...>
Args |
|---|
image
|
3D image. Size of the last dimension must be 1 or 3.
|
min_jpeg_quality
|
Minimum jpeg encoding quality to use.
|
max_jpeg_quality
|
Maximum jpeg encoding quality to use.
|
seed
|
An operation-specific seed. It will be used in conjunction with the
graph-level seed to determine the real seeds that will be used in this
operation. Please see the documentation of set_random_seed for its
interaction with the graph-level random seed.
|
Returns |
|---|
Adjusted image(s), same shape and DType as image.
|
Raises |
|---|
ValueError
|
if min_jpeg_quality or max_jpeg_quality is invalid.
|
TensorFlow 1 version
View source on GitHub