def shannon_entropy(img):

	# calculate the shannon entropy for an image

	histogram = img.histogram()
	histogram_length = sum(histogram)

	samples_probability = [float(h) / histogram_length for h in histogram]

	return -sum([p * math.log(p, 2) for p in samples_probability if p != 0])