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Stairstep interpolation
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Stairstep interpolation : ウィキペディア英語版
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.
Comparison stairstep and direct bilinear image scaling
;Comparison 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

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Stairstep interpolation」の詳細全文を読む



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