Stairstep interpolation

Short description: Method for interpolating the pixels after enlarging an image

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.[1]

The method was popularized in part by developer Fred Miranda, who created several Photoshop plug-ins incorporating the technique.[2]

## Contents

* 1 Example
* 2 See also
* 3 References
* 4 External links

## Example

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

## References

1. ↑ Hurter, Bill (July 2006). The Best of Professional Digital Photography. Amherst Media. ISBN 9781584285052. https://books.google.com/books?id=dLK9BQAAQBAJ. Retrieved 23 May 2023.
2. ↑ Fott, Galen (4 October 2005). "Upsample Your Images". PC Mag. https://books.google.com/books?id=atSj5jDaBKIC&dq="stair+interpolation"+fred&pg=PA98.

## External links

* Photoshop plugin to achieve stairstep interpolation

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