tfa.image.blend

Blend image1 and image2 using factor.

tfa.image.blend(
    image1: tfa.types.TensorLike,
    image2: tfa.types.TensorLike,
    factor: tfa.types.Number
) -> tf.Tensor

Factor can be above 0.0. A value of 0.0 means only image1 is used. A value of 1.0 means only image2 is used. A value between 0.0 and 1.0 means we linearly interpolate the pixel values between the two images. A value greater than 1.0 "extrapolates" the difference between the two pixel values, and we clip the results to values between 0 and 255.

Args
image1	An image Tensor of shape (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW), or (num_channels, num_rows, num_columns) (CHW).
image2	An image Tensor of shape (num_rows, num_columns, num_channels) (HWC), or (num_rows, num_columns) (HW), or (num_channels, num_rows, num_columns).
factor	A floating point value or Tensor of type tf.float32 above 0.0.

Returns
A blended image Tensor of tf.float32.