On this page
tf.image.random_jpeg_quality
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].
| Args | |
|---|---|
image |
RGB image or images. Size of the last dimension must be 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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/image/random_jpeg_quality