This enumeration describes the different interpolation modes that can be used with the scaling functions. GDK_INTERP_NEAREST 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.
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.
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.
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.
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)