Stairstep interpolation
In image processing, stairstep interpolation is a general method for interpolating the pixels after enlarging an image. The key idea is to interpolate multiple times in small increments using any interpolation algorithm that is better than nearest-neighbor interpolation, such as bilinear interpolation, and bicubic interpolation. A common scenario is to interpolate an image by using a bicubic interpolation which increases the image size by no more than 10% (110% of the original size) at a time until the desired size is reached.
Example
![](../I/m/Comparison_stairstep_and_direct_bilinear_image_scaling.png)
A comparison of stairstep and direct bilinear image scaling, using multiple 10% steps versus one 100% step
See also
- Anti-aliasing
- Bézier surface
- Cubic Hermite spline, the one-dimensional analogue of bicubic spline
- Lanczos resampling
- Sinc filter
- Spline interpolation
External links
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.