Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (9): 2208-2211.

• 软件、算法与仿真 • 上一篇    下一篇

一种基于弹性模型的图像缩小算法

康牧1,2, 王宝树1   

  1. 1. 西安电子科技大学计算机学院, 陕西, 西安, 710071;
    2. 洛阳师范学院计算机系, 河南, 洛阳, 471022
  • 收稿日期:2008-05-15 修回日期:2009-03-04 出版日期:2009-09-20 发布日期:2010-01-03
  • 作者简介:康牧(1968- ),男,副教授,博士研究生,主要研究方向为智能信息处理与模式识别.E-mail:kmuwd@sina.com
  • 基金资助:
    国家自然科学基金(60702063);河南省自然科学计划项目(2007520035)资助课题

Image reduction algorithm based on spring model

KANG Mu1,2, WANG Bao-shu1   

  1. 1. School of Computer Science and Technology, Xidian Univ., Xi’an 710071, China;
    2. Dept. of Computer, Luoyang Normal Univ., Luoyang 471022, China
  • Received:2008-05-15 Revised:2009-03-04 Online:2009-09-20 Published:2010-01-03

摘要: 为了避免在图像缩小时图像中出现锯齿和模糊边缘的现象,分析了最近邻插值模型和曲面拟合模型,提出一种基于弹性模型的图像缩小算法,给出了插值运算的数学公式,模拟了不同算法作用于图像缩小的输出结果。实验结果表明,该算法能有效地应用于数字图像的缩小处理,得到的图像轮廓清晰、边界分明,且算法简单,易于实现。

Abstract: To avoid the phenomenon of jaggy and blurry edges during reducing an image,after analyzing the nearest neighbor interpolation model and the surface fitting model,an image reduction algorithm is proposed based on the spring model.The interpolation formula is presented,and the output results concerning on image reduction are simulated based on different algorithms.The result of experiment shows that the proposed method is able to maintain clear borders of the source image,and the algorithm is efficient in computation for making image reduction.

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