基于Sobel算子和混合有理插值的图像压缩方法

为提高图像的压缩效率，提出一种基于Sobel算子和非线性混合有理插值的图像压缩方法。将Sobel算子应用于图像的轮廓提取，利用二元Newton．Thiele型向量连分式建立有理插值曲面，然后对插值函数进行重采样，按要求实现图像压缩。实验结果表明，该方法能有效应用于数字图像的压缩处理，具有计算简单、易于编程实现等优点，是一种较实用的方法。

Approach of Image Compression Based on Sobel Operators and Blending Rational Interpolation

In order to enhance image compression efficiency, this paper presents a image compression method based on Sobel operators and non-linear blending rational. First, used a Sobel operator to extracting image outline. And then built rational interpolation surface by bivariate Newton-Thiele＇s vector continued fraction. Finally, resampled the rational in- terpolation function and achieved the image compression according the request. The experimental results show that this method is efficient in processing image compression, and easy to calculate and program, so it is a more practical method.