J4 ›› 2011, Vol. 49 ›› Issue (03): 424-429.

• 数学 • 上一篇    下一篇

基于偏微分方程的彩色图像乘性去噪模型

尹云光1, 曹杨2, 郭志昌3, 李静4   

  1. 1. 吉林大学 计算机科学与技术学院, 长春 130012|2. 大连理工大学 数学科学学院, 辽宁 大连 116024;3. 哈尔滨工业大学 数学系, 哈尔滨 150001|4. 中央民族大学 理学院, 北京 100081
  • 收稿日期:2010-05-31 出版日期:2011-05-26 发布日期:2011-06-15
  • 通讯作者: 郭志昌 E-mail:mathgzc@email.jlu.edu.cn

A Multiplicative Denoising Model of Color Images Based on Partial Differential Equations

YIN Yunguang1, CAO Yang2, GUO Zhichang3, LI Jing4   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;2. School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, Liaoning Province, China;3. Department of Mathematics, Harbin Institute of Technology, Harbin 150001, China;4. College of Science, Minzu University of China, Beijing 100081, China
  • Received:2010-05-31 Online:2011-05-26 Published:2011-06-15
  • Contact: GUO Zhichang E-mail:mathgzc@email.jlu.edu.cn

摘要:

提出一种新的非线性偏微分方程恢复模型, 解决含乘性噪声的彩色图像恢复问题. 新模型中引入光滑后向量值图像的几何流形特征判断图像的“真”、 “假”边缘, 利用p(x)-Laplace扩散系数在区域内部和边界以不同的方式进行扩散, 利用|u|q扩散系数在乘性噪声干扰不同的区域以不同的速度进行扩散. 理论分析和数值实验结果表明了该模型的有效性.

关键词: 彩色图像, 乘性噪声, 图像恢复, 各向异性扩散

Abstract:

A nonlinear partial differential equation model was proposed to remove multiplicative noise of  color images. The geometrical manifold characteristics of vectorvalued image after smoothing are introduced to  distinguish the “real” and “false” edges. The p(x)-Laplace diffusion coefficients drive image to diffuse in different ways on the edges and in the domains of images. The |u|q diffusion coefficient drives image to diffuse at different speeds that fit to the multiplicative noises strength. Theoretical analysis and numerical results show the efficiency of the new method.

Key words: color image, multiplicative noise, image restoration, anisotropic diffusion

中图分类号: 

  • O175.2