def impulse_noise(x, severity=1):
  """Impulse noise corruption to images.

  Args:
    x: numpy array, uncorrupted image, assumed to have uint8 pixel in [0,255].
    severity: integer, severity of corruption.

  Returns:
    numpy array, image with uint8 pixels in [0,255]. Added impulse noise.
  """
  c = [.03, .06, .09, 0.17, 0.27][severity - 1]
  x = tfds.core.lazy_imports.skimage.util.random_noise(
      np.array(x) / 255., mode='s&p', amount=c)
  x_clip = np.clip(x, 0, 1) * 255
  return around_and_astype(x_clip)
def impulse_noise ( x , severity = 1 ) : c = [ .03 , .06 , .09 , 0.17 , 0.27 ] [ severity - 1 ] x = tfds . core . lazy_imports . skimage . util . random_noise ( np . array ( x ) / 255. , mode = 's&p' , amount = c ) x_clip = np . clip ( x , 0 , 1 ) * 255 return around_and_astype ( x_clip )
Impulse noise corruption to images.

  Args:
    x: numpy array, uncorrupted image, assumed to have uint8 pixel in [0,255].
    severity: integer, severity of corruption.

  Returns:
    numpy array, image with uint8 pixels in [0,255]. Added impulse noise.