I am trying to create a python program which takes a grayscale, 24*24 pixel image file (I haven\'t decided on the type, so suggestions are welcome) and converts it to a list
You can access the greyscale value of each individual pixel by accessing the r, g, or b value, which will all be the same for a greyscale image.
I.e.
img = Image.open('eggs.png').convert('1')
rawData = img.load()
data = []
for y in range(24):
for x in range(24):
data.append(rawData[x,y][0])
This doesn't solve the problem of access speed.
I'm more familiar with scikit-image than Pillow. It seems to me that if all you are after is listing the greyscale values, you could use scikit-image, which stores images as numpy arrays, and use img_as_ubyte to represent the image as a uint array, containing values between 0 and 255.
Images are NumPy Arrays provides a good starting point to see what the code looks like.