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Image entropy from PIL histogram

/ Published in: Python
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  1. from math import log
  2.  
  3. def get_histogram_dispersion(histogram):
  4. 	log2 = lambda x:log(x)/log(2)
  5.  
  6. 	total = len(histogram)
  7. 	counts = {}
  8. 	for item in histogram:
  9. 		counts.setdefault(item,0)
  10. 		counts[item]+=1
  11.  
  12. 	ent = 0
  13. 	for i in counts:
  14. 		p = float(counts[i])/total
  15. 		ent-=p*log2(p)
  16. 	return -ent*log2(1/ent)

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