tf.image.adjust_contrast

Adjust contrast of RGB or grayscale images.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.image.adjust_contrast

tf.image.adjust_contrast(
    images, contrast_factor
)

This is a convenience method that converts RGB images to float representation, adjusts their contrast, and then converts them back to the original data type. If several adjustments are chained, it is advisable to minimize the number of redundant conversions.

images is a tensor of at least 3 dimensions. The last 3 dimensions are interpreted as [height, width, channels]. The other dimensions only represent a collection of images, such as [batch, height, width, channels].

Contrast is adjusted independently for each channel of each image.

For each channel, this Op computes the mean of the image pixels in the channel and then adjusts each component x of each pixel to (x - mean) * contrast_factor + mean.

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_contrast(x, 2)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[-3.5, -2.5, -1.5],
        [ 2.5,  3.5,  4.5]],
       [[ 8.5,  9.5, 10.5],
        [14.5, 15.5, 16.5]]], dtype=float32)>

Args
images	Images to adjust. At least 3-D.
contrast_factor	A float multiplier for adjusting contrast.

Returns
The contrast-adjusted image or images.