Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (25): 164-167.DOI: 10.3778/j.issn.1002-8331.2010.25.048

• 图形、图像、模式识别 • Previous Articles     Next Articles

Numerical schemes of MCM equation for removing impulse noise

DU Hong-wei,ZHANG Yi   

  1. Yunnan Vocational College of Mechanical & Electrical Technology,Kunming 650203,China
  • Received:2009-10-13 Revised:2010-01-22 Online:2010-09-01 Published:2010-09-01
  • Contact: DU Hong-wei

用MCM方程去除椒盐噪声的数值方案

杜宏伟,张 翼   

  1. 云南机电职业技术学院,昆明 650203
  • 通讯作者: 杜宏伟

Abstract: Mean Curvature Motion(MCM) equation can effectively eliminate the impulse noise.This paper presents an explicit difference scheme for MCM equation,and a new scheme ENoD-A is proposed by analyzing the shortcomings of ENOD-8.The application of this scheme reduces the computational complexity in the iterative process and improves the efficiency of the denoising.Numerical experiments have shown that the new scheme enhances the ability of equations to eliminate impulse noise,while protecting the image texture detail.

Key words: image denoising, Mean Curvature Motion(MCM), impulse noise, Essentially Non-Dissipative(ENoD) difference scheme

摘要: 均值曲率运动(MCM)方程能有效去除脉冲噪声。给出了MCM方程的一种显示差分格式。针对ENoD-8格式在去除高密度噪声时会残留斑块的问题,提出了新的ENoD-A格式。该格式的应用减少了迭代过程中的计算量,提高了去噪效率。实验结果表明,新格式增强了方程去除椒盐噪声的能力,同时又保护了图像细节。

关键词: 图像去噪, 均值曲率运动(MCM), 椒盐噪声, ENoD差分格式

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