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tf.image.adjust_jpeg_quality

TensorFlow 1 version View source on GitHub

Adjust jpeg encoding quality of an image.

tf.image.adjust_jpeg_quality(
    image, jpeg_quality, name=None
)

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.        ], 
        [0.9960785 , 0.9960785 , 0.9960785 ]], 
       [[0.98823535, 0.98823535, 0.98823535], 
        [0.98823535, 0.98823535, 0.98823535]]], 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