photoshoptan anlayan piçler bakın bi

http://imgim.com/9247incii7709357.png
al lan senin için oturdum algoritma yazdım bin
5. !/usr/bin/env python
6. --- coding:utf8 ---
from PIL import Image, ImageMath
image = Image.open("/home/mnrl/Masaüstü/y6.jpg")

def difference1(source, color):
"""When source is bigger than color"""
return (source - color) / (255.0 - color)

def difference2(source, color):
"""When color is bigger than source"""
return (color - source) / color

def color_to_alpha(image, color):
image = image.convert('RGBA')
width, height = image.size

color = map(float, color)
img_bands = [band.convert("F") for band in image.split()]

# Find the maximum difference rate between source and color. I had to use two
# difference functions because ImageMath.eval only evaluates the expression
# once.
alpha = ImageMath.eval(
"""float(
max(
max(
max(
difference1(red_band, cred_band),
difference1(green_band, cgreen_band)
),
difference1(blue_band, cblue_band)
),
max(
max(
difference2(red_band, cred_band),
difference2(green_band, cgreen_band)
),
difference2(blue_band, cblue_band)
)
)
)""",
difference1=difference1,
difference2=difference2,
red_band = img_bands[0],
green_band = img_bands[1],
blue_band = img_bands[2],
cred_band = color[0],
cgreen_band = color[1],
cblue_band = color[2]
)

# Calculate the new image colors after the removal of the selected color
new_bands = [
ImageMath.eval(
"convert((image - color) / alpha + color, 'L')",
image = img_bands[i],
color = color[i],
alpha = alpha
)
for i in xrange(3)
]

# Add the new alpha band
new_bands.append(ImageMath.eval(
"convert(alpha_band * alpha, 'L')",
alpha = alpha,
alpha_band = img_bands[3]
))

return Image.merge('RGBA', new_bands)

image = color_to_alpha(image, (0, 0, 0, 255))
7. background = Image.new('RGB', image.size, (0, 255, 255))
8. background.paste(image.convert('RGB'), mask=image)
image.save("asd.png")