计算物理 ›› 2007, Vol. 24 ›› Issue (3): 353-360.

• 论文 • 上一篇    下一篇

全变分图像去噪和去模糊问题的外插边值条件

徐静1, 石玉英2, 王肖玉3   

  1. 1. 中科院应用数学研究所, 数学与系统科学研究院, 北京 100080;
    2. 华北电力大学(北京)数理系, 北京 102206;
    3. 中国人民大学, 北京 100872
  • 收稿日期:2005-10-08 修回日期:2006-04-18 出版日期:2007-05-25 发布日期:2007-05-25
  • 作者简介:徐静(1980-),female,Shenyang,Liaoning,Doctor,Numerical solution of partial differential equation and imange processing.

Extrapolation Boundary Conditions for Total Variation-based Image Deblurring and Denoising

XU Jing1, SHI Yuying2, WANG Xiaoyu3   

  1. 1. Institute of Applied Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Science, Beijing 100080, China;
    2. Department of Mathematics and Physics, North China Electric Power University, Beijing 102206, China;
    3. Renmin University of China, Beijing 100872, China
  • Received:2005-10-08 Revised:2006-04-18 Online:2007-05-25 Published:2007-05-25

摘要: 提出了适用于去模糊问题的外插边值条件,目的在一维信号下具有一阶连续性,在二维图像情况下具有连续性并保持法向导数的连续性.使用两种模型和两个模糊算子与Dirichlet,Neumann及逆反射边值条件进行了比较.之后在基于全变分图像去噪和去模糊问题的快速算法中应用了外插边值条件.数值实验表明了外插边值条件的有效性.

关键词: 去模糊, 去噪声, 边值条件(BCs)

Abstract: We propose extrapolation boundary conditions(BCs) for blurring removal.They lead to C1 continuity for one-dimensional signals and C0 continuity with normal derivative continuity for images.Two models and two kinds of blurring operators are used in the extrapolation BCs with Dirichlet,Neumann and antireflective BCs.We apply extrapolation BCs to fast algorithms for total variation-based image deblurring and denoising.Numerical results illustrate efficiency of the extrapolation BCs.

Key words: deblurring, denoising, boundary conditions(BCs)

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