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tf.image.random_jpeg_quality

TensorFlow 1 version View source on GitHub

Randomly changes jpeg encoding quality for inducing jpeg noise.

Aliases:

  • tf.compat.v1.image.random_jpeg_quality
  • tf.compat.v2.image.random_jpeg_quality
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.