用二元向量有理插值实现彩色图像缩放的方法

Method of Image Zooming Based on Bivariate Vector Valued Rational Interpolation

以二元向量有理插值为基础 ,提出了一种图像缩放方法 首先将图像的每一个像素看作是平面域的关于RGB三原色的一个向量 ,利用二元Newton Thiele型向量连分式建立关于像素值的有理插值函数 ,即有理插值曲面 ;然后对此有理插值曲面进行重新采样 ,以实现图像的缩放 通过实验证明 ,该方法能有效地用于图像的缩放处理 ,并且算法简单 。

A new method of image zooming is presented in this paper, based on the bivariate Newton- Thiele's vector valued rational interpolation By the method, first of all, a Newton- Thiele's vector valued interpolation function(surface) is constructed for the values of RGB pixels in a digital image, and then, the surfaces with different sampling rates are resampled to generate the resized image required The experimental results show that the method can greatly improve the quality of resized images