Re: What is the best way to anti-alias a very large resolution image in PIL

Newbie to Python here so please excuse dumb suggestions, but...

Must you use pure Python and PIL?

It seems PyLibTiff was written to solve something like this. 
https://code.google.com/p/pylibtiff/

Or you could perhaps load the TIFF with numpy which allows you to 
load just parts of the file, down-sample in segments, then combine.

Or just use 3rd party tools (I have used gdal with very large files, 
though none larger than my RAM).

   -k.


On Thu, 8 Sep 2011, Craig Coleman (C) wrote:

> Hi,
>
> I have a really thorny problem.
>
> I need to downsample a raster map that is 23622x23622 pixels to 
> 7874x7874 pixels using the ANTIALIAS filter.
>
> I have the following Python code:
>
>>>> import Image
>>>> img = Image.open(r"C:\temp\24bit_nd.tif")
>>>> nimg = img.resize((7874,7874),Image.ANTIALIAS)
>
> As soon as the resize method is called, python crashes instantly. 
> I presume this is a memory allocation issue.
>
> Is there another way of performing anti-aliasing on such a large 
> image (its 2.7GB uncompressed although I'm using LZW for storage).
>
> I have tried converting the file to 8bit with a palette and this 
> successfully downsamples but the ANTIALIAS is not performed. 
> What am I doing wrong?
>
> Craig Coleman
> Technical Lead
> Information Systems, Ordnance Survey
> L0F2, Adanac Drive, SOUTHAMPTON, United Kingdom, SO16 0AS
> Phone: +44 (0) 2380 054641
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