插值(计算机图形学)
双三次插值
卷积(计算机科学)
双线性插值
重叠-添加方法
阶梯插值
最近邻插值
数学
图像缩放
多元插值
算法
三线性插值
样条插值
计算机科学
图像处理
人工智能
图像(数学)
数学分析
统计
傅里叶变换
傅里叶分析
分数阶傅立叶变换
人工神经网络
作者
Erik Meijering,Michaël Unser
出处
期刊:IEEE transactions on image processing
[Institute of Electrical and Electronics Engineers]
日期:2003-04-01
卷期号:12 (4): 477-479
被引量:114
标识
DOI:10.1109/tip.2003.811493
摘要
We establish a link between classical osculatory interpolation and modern convolution-based interpolation and use it to show that two well-known cubic convolution schemes are formally equivalent to two osculatory interpolation schemes proposed in the actuarial literature about a century ago. We also discuss computational differences and give examples of other cubic interpolation schemes not previously studied in signal and image processing.
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