Question

I am trying to load a CCITT T.3 compressed tiff into python, and get the pixel matrix from it. It should just be a logical matrix.

I have tried using pylibtiff and PIL, but when I load it with them, the matrix it returns is empty. I have read in a lot of places that these two tools support loading CCITT but not accessing the pixels.

I am open to converting the image, as long as I can get the logical matrix from it and do it in python code. The crazy thing is is that if I open one of my images in paint, save it without altering it, then try to load it with pylibtiff, it works. Paint re-compresses it to the LZW compression.

So I guess my real question is: Is there a way to either natively load CCITT images to matricies or convert the images to LZW using python??

Thanks,

tylerthemiler

Answer 1

It seems the best way is to not use Python entirely but lean on netpbm:

import Image
import ImageFile
import subprocess

tiff =  test.tiff 
im = Image.open(tiff)
print  size , im.size
try:
    print  extrema , im.getextrema()
except IOError as e:
    print  help! , e,  
 

print  I Get by with a Little Help from my Friends 
pbm_proc = subprocess.Popen([ tifftopnm , tiff],
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE)
(pbm_data, pbm_error) = pbm_proc.communicate()
ifp = ImageFile.Parser()
ifp.feed(pbm_data)
im = ifp.close()
print  conversion message , pbm_error,
print  extrema , im.getextrema()
print  size , im.size
# houston: we have an image
im.show()

Seems to do the trick:

$ python g3fax.py 
size (1728, 2156)
extrema help! decoder group3 not available 

I Get by with a Little Help from my Friends
conversion message tifftopnm: writing PBM file
extrema (0, 255)
size (1728, 2156)

Answer 2

How about running tiffcp with subprocess to convert to LZW (-c lzw switch), then process normally with pylibtiff? There are Windows builds of tiffcp lying around on the web. Not exactly Python-native solution, but still...

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