:right-sidebar: True

InterpType
===================================================================

.. currentmodule:: gi.repository.GdkPixbuf





.. class:: InterpType
   :no-contents-entry:






Interpolation modes for scaling functions.

The ``GDK_INTERP_NEAREST`` mode is the fastest scaling method, but has
horrible quality when scaling down; ``GDK_INTERP_BILINEAR`` is the best
choice if you aren't sure what to choose, it has a good speed/quality
balance.

**Note**: Cubic filtering is missing from the list; hyperbolic
interpolation is just as fast and results in higher quality.













Fields
------

.. rst-class:: interim-class

.. class:: InterpType
   :no-index:
   

   .. attribute:: BILINEAR

      Best quality/speed balance; use this mode by
      default. Bilinear interpolation.  For enlargement, it is
      equivalent to point-sampling the ideal bilinear-interpolated image.
      For reduction, it is equivalent to laying down small tiles and
      integrating over the coverage area.







   .. attribute:: HYPER

      This is the slowest and highest quality
      reconstruction function. It is derived from the hyperbolic filters in
      Wolberg's "Digital Image Warping", and is formally defined as the
      hyperbolic-filter sampling the ideal hyperbolic-filter interpolated
      image (the filter is designed to be idempotent for 1:1 pixel mapping).
      **Deprecated**: this interpolation filter is deprecated, as in reality
      it has a lower quality than the ``GDK_INTERP_BILINEAR`` filter
      (Since: 2.38)







   .. attribute:: NEAREST

      Nearest neighbor sampling; this is the fastest
      and lowest quality mode. Quality is normally unacceptable when scaling
      down, but may be OK when scaling up.







   .. attribute:: TILES

      This is an accurate simulation of the PostScript
      image operator without any interpolation enabled.  Each pixel is
      rendered as a tiny parallelogram of solid color, the edges of which
      are implemented with antialiasing.  It resembles nearest neighbor for
      enlargement, and bilinear for reduction.