Suppose I have a list of pixels (represented as tuples with 3 RGB values) in a list that looks like list(im.getdata())
, like this:
[(0,0,0),(255
You can also use scipy
for that:
#!/usr/bin/env python
import scipy.misc
import numpy as np
# Image size
width = 640
height = 480
channels = 3
# Create an empty image
img = np.zeros((height, width, channels), dtype=np.uint8)
# Draw something (http://stackoverflow.com/a/10032271/562769)
xx, yy = np.mgrid[:height, :width]
circle = (xx - 100) ** 2 + (yy - 100) ** 2
# Set the RGB values
for y in range(img.shape[0]):
for x in range(img.shape[1]):
r, g, b = circle[y][x], circle[y][x], circle[y][x]
img[y][x][0] = r
img[y][x][1] = g
img[y][x][2] = b
# Display the image
scipy.misc.imshow(img)
# Save the image
scipy.misc.imsave("image.png", img)
gives
Here's a complete example since I didn't get the trick at first.
from PIL import Image
img = Image.new('RGB', [500,500], 255)
data = img.load()
for x in range(img.size[0]):
for y in range(img.size[1]):
data[x,y] = (
x % 255,
y % 255,
(x**2-y**2) % 255,
)
img.save('image.png')
And if you're looking for grayscale only, you can do Image.new('L', [500,500], 255)
and then data[x,y] = <your value between 0 and 255>
You can do it like this:
list_of_pixels = list(im.getdata())
# Do something to the pixels...
im2 = Image.new(im.mode, im.size)
im2.putdata(list_of_pixels)