作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2012, Vol. 38 ›› Issue (13): 202-204. doi: 10.3969/j.issn.1000-3428.2012.13.060

• 图形图像处理 • 上一篇    下一篇

基于泰勒展开式的图像插值方法

詹 毅1,2   

  1. (1. 重庆大学计算机学院,重庆 400030;2. 重庆工商大学数学与统计学院,重庆 400067)
  • 收稿日期:2011-10-11 出版日期:2012-07-05 发布日期:2012-07-05
  • 作者简介:詹 毅(1971-),男,副教授、博士,主研方向:图像处理,模式识别
  • 基金资助:
    重庆市自然科学基金资助项目(cstcjjA40012)

Image Interpolation Method Based on Tyler Expansion

ZHAN Yi 1,2   

  1. (1. College of Computer Science, Chongqing University, Chongqing 400030, China; 2. College of Math and Statistics, Chongqing Technology and Business University, Chongqing 400067, China)
  • Received:2011-10-11 Online:2012-07-05 Published:2012-07-05

摘要: 为获得清晰光滑的图像轮廓,提出一种基于泰勒展开式的图像插值方法。根据靠近边缘中心一侧的已知像素,利用泰勒展开式估计待插值像素,减小插值图像边缘的宽度,并增加边缘斜坡坡度,从而获得清晰的插值图像边缘。实验结果表明,该方法简单且易于实现,与逆梯度加权方法相比,能获得更清晰的图像边缘。

关键词: 图像插值, 图像缩放, 泰勒展开式, 逆梯度权, 双线性插值

Abstract: To obtain crisp and smooth image contour of interpolated image, an image interpolation method based on Tyler expansion is proposed. The interpolated pixel in a lateral near the center of edge is approximated by the pixel in this lateral by Tyler expansion. It reduces width of edge and increases slope, and produces scrip edges. Experimental results show that the advantage of this method is simple and easy to implementation. The method can obtain crisper border compared with inverse gradient weighting method.

Key words: image interpolation, image zooming, Taylor expansion, inverse gradient weight, bilinear interpolation

中图分类号: