Stairstep interpolation
From Wikipedia the free encyclopedia
In the field of image processing, stairstep interpolation is a widely employed method technique for interpolating pixels after enlarging an image. The fundamental concept 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.[1]
Fred Miranda, a developer, popularized this method by creating and developing several Photoshop plug-ins that incorporate this technique.[2]
Example
[edit]
See also
[edit]- Anti-aliasing
- Bézier surface
- Cubic Hermite spline, the one-dimensional analogue of bicubic spline
- Lanczos resampling
- Sinc filter
- Spline interpolation
References
[edit]- ^ Hurter, Bill (July 2006). The Best of Professional Digital Photography. Amherst Media. ISBN 9781584285052. Retrieved 23 May 2023.
- ^ Fott, Galen (4 October 2005). "Upsample Your Images". PC Mag. Retrieved 23 May 2023.