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Python: PIL ( Pillow ) NumPy add images
from itertools import izip
from PIL import Image
import numpy as np
def getImageDifference(x, y):
diff3 = 1.0
# http://rosettacode.org/wiki/Percentage_difference_between_images#Python
if x.size == y.size:
pairs = izip(x.getdata(), y.getdata())
if len(x.getbands()) == 1:
# for gray-scale jpegs
diff3 = sum(abs(p1 - p2) for p1, p2 in pairs)
else:
diff3 = sum(abs(c1 - c2) for p1, p2 in pairs for c1, c2 in zip(p1, p2))
ncomponents = x.size[0] * x.size[1] * 3
diff3 = (diff3 / 255.0 * 100) / ncomponents
return diff3
i1 = Image.open('1.png').convert(mode='L', dither=Image.NONE)
i2 = Image.open('2.png').convert(mode='L', dither=Image.NONE)
cc = Image.open('C.png').convert(mode='L', dither=Image.NONE)
# Variation 1
pixelThreshold = 200
i1 = np.array(i1)
i1 = np.where(i1 > pixelThreshold, 255, 0)
i2 = np.array(i2)
i2 = np.where(i2 > pixelThreshold, 255, 0)
final1 = (i1+i2)/2
final1 = np.where(final1 > pixelThreshold, 255, 0)
final1 = Image.fromarray(final1.astype(np.uint8))
final1.show()
print getImageDifference(final1, cc) # ==> 0.12561853664
# # Variation 2
# pixelThreshold = 200
# i1 = np.array(i1)
# i1 = np.where(i1 > pixelThreshold, 255, 0)
# i2 = np.array(i2)
# i2 = np.where(i2 > pixelThreshold, 255, 0)
# final1 = np.minimum((i1+i2),256)
# final1 = Image.fromarray(final1)
# final1.show()
#
# # Variation 3
# pixelThreshold = 200
# i1 = np.array(i1)
# i1 = np.where(i1 > pixelThreshold, 255, 0)
# i2 = np.array(i2)
# i2 = np.where(i2 > pixelThreshold, 255, 0)
# final1 = (i1+i2)/2
# final1[final1>256]=256
# final1 = Image.fromarray(final1)
# final1.show()
#
# # Variation 4
i1 = Image.open('1.png').convert(mode='L', dither=Image.NONE)
i2 = Image.open('2.png').convert(mode='L', dither=Image.NONE)
# final2 = Image.blend(i1, i2, 0.5)
# print getImageDifference(final2, cc) # ==> 0.661266633307
# # Variation 5
final2 = Image.composite(i1, i2, i2)
final2.show()
print getImageDifference(final2, cc) # ==> 0.0380851773602
# courtsey : https://stackoverflow.com/questions/524930/numpy-pil-adding-an-image/
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