Image Normalization

from IPython.display import display
from tensorflow.keras.preprocessing import image
from tensorflow.keras.utils import normalize

img = image.load_img('dog.jpg')
display(img)

x = image.img_to_array(img)
assert x.shape[-1] == 3, "Not a RGB image with channels last."

# Normalize per row.
display(image.array_to_img(normalize(x, axis=0)))

# Normalize per column.
display(image.array_to_img(normalize(x, axis=1)))

# Normalize per color channel.
display(image.array_to_img(normalize(x, axis=2)))