All Title Author
Keywords Abstract


Method for noises removel based on PDE
基于PDE图像去噪方法

Keywords: Partial Differential Equation (PDE),threshold vaule,noises removal,image smoothing
偏微分方程
,边缘阈值,噪声消除,图像平滑,图像噪声,去噪方法,based,noises,边缘保持,程序,高梯度,阈值,改进,分析,函数性质,扩散系数,模型,Perona,脉冲噪声,效果,噪声消除,高斯分布,扩散滤波,非线性

Full-Text   Cite this paper   Add to My Lib

Abstract:

Nonlinear diffusion filter based on Partial Differential Equation (PDE) is good at removing Gauss noises, but do not well at pulse noises. From the diffusion coefficient of Perona & Malik model, the function nature was analyzed. By changing the form of the threshold value in diffusion function, it can get rid of the noises from image while preserving edges better, and overcome the contradictions between keeping edge and eliminating noises.

Full-Text

comments powered by Disqus