液晶与显示2011，Vol.26Issue(1)：111-115,5.DOI:10.3788/YJYXS20112601.0111
基于PDE的非线性图像去噪与增强
Nonlinear Image De-Noising and Enhancement Based on PDE
韩希珍 1陈朝东 2赵建3
作者信息
- 1. 中国科学院,长春光学精密机械与物理研究所,吉林,长春,130033
- 2. 中国科学院,研究生院,北京,100039
- 3. 第二炮兵上程设计研究所,北京,100011
- 折叠
摘要
Abstract
Applying partial differential equation(PDE) theory, an improved algorithm of nonlinear image de-noising and enhancement was proposed based on partial differential equation by improving traditional Perona & Malik nonlinear diffusion model.The image is transformed to the gradient field to achieve the purpose of image de-noising and enhancement through changing the gradient field diffusion function.Compared with the traditional spatial and frequency domain image de-noising algorithms, this algorithm can not only filter off image noise effectively, but also maintain better image texture details.This paper uses the finite difference method to discrete the partial differential equation.And it combines with the heat equation to simplify the computational complexity.So the computational process of this algorithm is simple and fast.It provides a guarantee for real-time image de-noising and enhancement processing.关键词
图像去噪与增强/偏微分方程/扩散函数/有限差分法分类
信息技术与安全科学引用本文复制引用
韩希珍,陈朝东,赵建..基于PDE的非线性图像去噪与增强[J].液晶与显示,2011,26(1):111-115,5.
