revise doc comment for resample

We can now do high-quality reduce for any scale factor, though it'll be
slow for very large reductions.

Thanks homm, see https://github.com/libvips/pyvips/issues/148
This commit is contained in:
John Cupitt 2020-01-03 08:59:50 +00:00
parent ecb22cdecc
commit 5ee0623182

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@ -68,7 +68,7 @@
* *
* vips_reduce() is like vips_affine(), but it can only shrink images, it can't * vips_reduce() is like vips_affine(), but it can only shrink images, it can't
* enlarge, rotate, or skew. It's very fast and uses an adaptive kernel for * enlarge, rotate, or skew. It's very fast and uses an adaptive kernel for
* interpolation. Again, it will give poor results for large size reductions. * interpolation.
* *
* vips_shrink() is a fast block shrinker. It can quickly reduce images by * vips_shrink() is a fast block shrinker. It can quickly reduce images by
* large integer factors. It will give poor results for small size reductions: * large integer factors. It will give poor results for small size reductions: