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tf.image.adjust_jpeg_quality

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Adjust jpeg encoding quality of an image.

This is a convenience method that converts an image to uint8 representation, encodes it to jpeg with jpeg_quality, decodes it, and then converts back to the original data type.

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.adjust_jpeg_quality(x, 75)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[1., 1., 1.],
        [1., 1., 1.]],
       [[1., 1., 1.],
        [1., 1., 1.]]], dtype=float32)>
Args
image 3D image. The size of the last dimension must be None, 1 or 3.
jpeg_quality Python int or Tensor of type int32. jpeg encoding quality.
name A name for this operation (optional).
Returns
Adjusted image, same shape and DType as image.
Raises
InvalidArgumentError quality must be in [0,100]
InvalidArgumentError image must have 1 or 3 channels

© 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/r2.3/api_docs/python/tf/image/adjust_jpeg_quality