Stairstep interpolation
{{short description|Method for interpolating the pixels after enlarging an image}}
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.{{cite book |last1=Hurter |first1=Bill |title=The Best of Professional Digital Photography |date=July 2006 |publisher=Amherst Media |isbn=9781584285052 |url=https://books.google.com/books?id=dLK9BQAAQBAJ |access-date=23 May 2023}}
Fred Miranda, a developer, popularized this method by creating and developing several Photoshop plug-ins that incorporate this technique.{{cite news |last1=Fott |first1=Galen |title=Upsample Your Images |url=https://books.google.com/books?id=atSj5jDaBKIC&dq=%22stair+interpolation%22+fred&pg=PA98 |access-date=23 May 2023 |agency=PC Mag |date=4 October 2005}}
Example
See also
- Anti-aliasing
- Bézier surface
- Cubic Hermite spline, the one-dimensional analogue of bicubic spline
- Lanczos resampling
- Sinc filter
- Spline interpolation
References
{{reflist}}
External links
- [http://www.imphotography.com/downloads/ssimagesize.htm Photoshop plugin to achieve stairstep interpolation]