How to create image from a list of pixel values in

问题:

If I have a list of pixel rows from an image in the following format, how would get the image?

[
   [(54, 54, 54), (232, 23, 93), (71, 71, 71), (168, 167, 167)],
   [(204, 82, 122), (54, 54, 54), (168, 167, 167), (232, 23, 93)],
   [(71, 71, 71), (168, 167, 167), (54, 54, 54), (204, 82, 122)],
   [(168, 167, 167), (204, 82, 122), (232, 23, 93), (54, 54, 54)]
]

回答1:

PIL and numpy are your friends here:

from PIL import Image
import numpy as np


pixels = [
   [(54, 54, 54), (232, 23, 93), (71, 71, 71), (168, 167, 167)],
   [(204, 82, 122), (54, 54, 54), (168, 167, 167), (232, 23, 93)],
   [(71, 71, 71), (168, 167, 167), (54, 54, 54), (204, 82, 122)],
   [(168, 167, 167), (204, 82, 122), (232, 23, 93), (54, 54, 54)]
]

# Convert the pixels into an array using numpy
array = np.array(pixels, dtype=np.uint8)

# Use PIL to create an image from the new array of pixels
new_image = Image.fromarray(array)
new_image.save('new.png')

EDIT:

A little fun with numpy to make an image of random pixels:

from PIL import Image
import numpy as np

def random_img(output, width, height):

    array = np.random.random_integers(0,255, (height,width,3))  

    array = np.array(array, dtype=np.uint8)
    img = Image.fromarray(array)
    img.save(output)


random_img('random.png', 100, 50)

回答2:

Haven't used PIL myself, but the best way of finding out is to open an actual image file using PIL. Then explore the API and objects involved with opening said image and look at how the pixel values are stored within the specific object pertaining to the API.

You can then construct a valid PIL image object using your extracted RGB values.

Edit: See the following post: How do I create an image in PIL using a list of RGB tuples?

Additional, accessing pixel values in PIL: https://pillow.readthedocs.io/en/4.3.x/reference/PixelAccess.html