亚像素渲染
插值(计算机图形学)
样条插值
算法
花键(机械)
计算机科学
最近邻插值
阶梯插值
卷积(计算机科学)
边界(拓扑)
计算机视觉
多元插值
点(几何)
数学
像素
人工智能
几何学
图像(数学)
数学分析
双线性插值
人工神经网络
结构工程
工程类
作者
Li Gong,Zhong Wang,Chao Li
摘要
As one branch of subpixel technology, curve interpolation method is the most popular for its higher precision and less complexity. But the method has longer running time and bigger direction error, since it makes use of convolution between direction templates and pixel gray values to get Gradient direction which is interpolating direction. So a new method is proposed in which unisometric cubic spline interpolation is operated along the normal direction of the edge-point. It illustrates not only how to choose sampling points for interpolation, but also how to figure node values of those points, then establishes the suitable interpolating boundary conditions. The method reduces not only the uncertainty but also the runtime to 1/2, and improves measuring precision and efficiency.
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