Image entropy is a quantity which is used to describe the amount of information coded in an image.
import matplotlib.pyplot as plt
from skimage import data
from skimage.filter.rank import entropy
from skimage.morphology import disk
from skimage.util import img_as_ubyte
image = img_as_ubyte(data.camera())
fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(10, 4))
img0 = ax0.imshow(image, cmap=plt.cm.gray)
ax0.set_title('Image')
ax0.axis('off')
fig.colorbar(img0, ax=ax0)
img1 = ax1.imshow(entropy(image, disk(5)), cmap=plt.cm.jet)
ax1.set_title('Entropy')
ax1.axis('off')
fig.colorbar(img1, ax=ax1)
plt.show()
STDOUT
STDERR
Python source code: download (generated using skimage 0.11dev)
IPython Notebook: download (generated using skimage 0.11dev)