摘要
分析了图像平滑中几种基于非线性扩散模型存在的问题,提出一种改进的非线性扩散方法。该方法用图像局部最大中值差和像素的梯度幅值联合度量图像的不平滑度,由此控制偏微分方程(PDE)的扩散行为,达到既去除噪声又保持图像边缘的目的。实验结果表明,用该方法既可以去除图像噪声又可以保持图像边缘,并且收敛速度较快。
This paper discusses problems that exist in some nonlinear diffusion model for image smoothing, and then proposes an improved nonlinear diffusion based on visual masking effect and magnitude of gradient. As a re- sult of making use of local maximum absolute median difference and magnitude of image gradient, this method achieves better result in noise-rein？red and edge preservation, with faster convergence. Experimental result shows that this method is able to achieve a good result.
出处
《计算机工程与应用》
CSCD
2012年第28期197-200,共4页
Computer Engineering and Applications
基金
广东省自然科学基金(No.07001802)
关键词
偏微分方程
非线性扩散
图像平滑
partial differential equation
nonlinear diffusion
image smoothing
