A good old trick is to work with intermediate images: resize the image using the Bilinear method and produce an intermediate image that is about 25% larger than the final image. Then you can downscale the intermediate image using Lanczos.
This should give a much better performance than working just with Lanczos, especially for large downscaling ratios (e.g. 10 Megapixel JPEG -> 1024x768) . Image quality shouldn't be affected too much by this method. Franz 2009/5/12 Fredrik Lundh <fred...@pythonware.com> > On Sun, May 10, 2009 at 12:45 PM, David Yan <davidy...@gmail.com> wrote: > > I want to resize an image Lanczos interpolation but I haven't found any > > python module that can do so. Also, I'm not knowledgeable enough to > write > > one myself. What's the best way I can do this? I use PIL currently but > the > > resampling filters don't suit my needs (antialias is too slow, bilinear > and > > bicubic produce aliasing when downsampling). > > ANTIALIAS is a Lanczos interpolation written in C, so it's not > entirely obvious to me how you expect a Python version to be faster... > > </F> > _______________________________________________ > Image-SIG maillist - Image-SIG@python.org > http://mail.python.org/mailman/listinfo/image-sig >
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