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].

Usage Example:

x = tf.constant([[[1, 2, 3],
                  [4, 5, 6]],
                 [[7, 8, 9],
                  [10, 11, 12]]], dtype=tf.uint8)
tf.image.random_jpeg_quality(x, 75, 95)
<tf.Tensor: shape=(2, 2, 3), dtype=uint8, numpy=...>

For producing deterministic results given a seed value, use tf.image.stateless_random_jpeg_quality. Unlike using the seed param with tf.image.random_* ops, tf.image.stateless_random_* ops guarantee the same results given the same seed independent of how many times the function is called, and independent of global seed settings (e.g. tf.random.set_seed).

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.

Adjusted image(s), same shape and DType as image.

ValueError if min_jpeg_quality or max_jpeg_quality is invalid.