I have a greyscale TIF File. I need to convert it to RGB/ read from it in a way I can work with it.
img = Image.open(GIF_FILENAME)
rgbimg = img.convert('RGB')
for i in range(5):
print rgbimg.getpixel((i, 0))
The convert.("RGB") will automatically make everything (255,255,255) even though the picture is a really dark mostly black picture.
If I just read the greyscale numbers I get numbers from around 1400 to 1900.
I need to also save a copy of the picture as a RGB Jpeg. Picture in question: [Here]: http://imgur.com/kEwfFs3
How would I go along doing this?
what about:
img = Image.open(GIF_FILENAME)
rgbimg = Image.new("RGBA", img.size)
rgbimg.paste(img)
rgbimg.save('foo.jpg')
[EDIT]
created a test:
from PIL import Image
from collections import defaultdict
import pprint
img = Image.open("kEwfFs3.png")
rgbimg = Image.new("RGBA", img.size)
rgbimg.paste(img)
found_colors = defaultdict(int)
for x in range(0, rgbimg.size[0]):
for y in range(0, rgbimg.size[1]):
pix_val = rgbimg.getpixel((x, y))
found_colors[pix_val] += 1
pprint.pprint(dict(found_colors))
rgbimg.save('kEwfFs3.jpg')
And that outputs:
{(0, 0, 0, 255): 747802,
(1, 1, 1, 255): 397,
(2, 2, 2, 255): 299,
(3, 3, 3, 255): 255,
(4, 4, 4, 255): 221,
(5, 5, 5, 255): 200,
(6, 6, 6, 255): 187,
(7, 7, 7, 255): 138,
(8, 8, 8, 255): 160,
(9, 9, 9, 255): 152,
(10, 10, 10, 255): 122,
(11, 11, 11, 255): 116,
(12, 12, 12, 255): 144,
(13, 13, 13, 255): 117,
(14, 14, 14, 255): 117,
(15, 15, 15, 255): 102,
(16, 16, 16, 255): 119,
(17, 17, 17, 255): 299641,
(18, 18, 18, 255): 273,
(19, 19, 19, 255): 233,
.................... etc .......
.................... etc .......
(249, 249, 249, 255): 616,
(250, 250, 250, 255): 656,
(251, 251, 251, 255): 862,
(252, 252, 252, 255): 1109,
(253, 253, 253, 255): 1648,
(254, 254, 254, 255): 2964175}
Which is what you would expect. Is your output different?