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基于细分的图像插值算法
引用本文:罗立彦,杨勋年.基于细分的图像插值算法[J].计算机辅助设计与图形学学报,2006,18(9):1311-1316.
作者姓名:罗立彦  杨勋年
作者单位:浙江大学数学系图形图像研究所,杭州,310027
基金项目:国家自然科学基金;国家重点基础研究发展计划(973计划)
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.

关 键 词:图像插值  图像处理  细分
收稿时间:2005-09-21
修稿时间:2006-02-27

A Subdivision Approach to Image Interpolation
Luo Liyan,Yang Xunnian.A Subdivision Approach to Image Interpolation[J].Journal of Computer-Aided Design & Computer Graphics,2006,18(9):1311-1316.
Authors:Luo Liyan  Yang Xunnian
Affiliation:Institute of Computer Graphics and Image Processing, Department of Mathematics, Zhejiang University, Hangzhou 310027
Abstract: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.
Keywords:image interpolation  image processing  subdivision
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