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中文摘要：
将基于法向的曲线细分技术应用到图像插值中，提出一种基于细分的图像插值算法．该算法无须建立中间连续图像模型，能自适应地插值，而且插值系数可为任意正实数．应用该算法插值后的边界清晰、自然，忠实地反映了原始图像的面貌．与传统的插值算法相比，其边界处理效果好，具有线性复杂度且易于实现．
英文摘要：
By extending the normal based subdivision scheme for curve and surface design, a new algorithm for image interpolation is proposed in this paper. The images will be zoomed in by interpolatory subdivision and no intermediate continuous surface model should be established. With proper choices of the subdivision parameters, images can be interpolated with any positive real scale while edges and borders within images can be kept well. Examples and comparisons with some other image interpolation methods show that the new image interpolation algorithm has the advantage of good edge preservation, linear complexity and easy implementation.
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