首页> 外文会议>Second Internatioal Conference on Image and Graphics Pt.1, Aug 16-18, 2002, Hefei, China >Image Compression and Reconstruction Based on Bivariate Interpolation by Continued Fractions
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Image Compression and Reconstruction Based on Bivariate Interpolation by Continued Fractions

机译:基于连分数的二元插值的图像压缩与重构

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摘要

In this paper, we pay attention to the application of image compression and reconstruction with Newton-Thiele's rational interpolation theorem. We present a new algorithm which is suited for fast computation with less distortion. Many examples are given, and the result shows that this algorithm is more convenient in computation and more efficient in implementing reconstruction.
机译:在本文中,我们关注牛顿-提耶尔有理插值定理在图像压缩和重建中的应用。我们提出了一种新算法,适用于失真较小的快速计算。给出了很多例子,结果表明该算法在计算上更方便,在重构上更有效。

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