def image_entropy(img):
    hist = img.histogram()
    hist_size = sum(hist)
    hist = [float(h) / hist_size for h in hist]
    return -sum([p * math.log(p, 2) for p in hist if p != 0])
Calculate the entropy of an image
dataset/ETHPy150Open codelucas/newspaper/newspaper/images.py/image_entropy