摘要
偏微分方程的图像降噪算法是一种简单有效的方法.在降噪的同时有效地保持图像的重要特征,如边缘、角点、细节等是一个重要问题。将图像的几何特征与偏微分方程的降噪算法结合起来,将图像看成三维空间的二维平面.基于高斯曲率能够有效地保持图像的重要特征,提出了一种基于高斯曲率的图像降噪的改进算法,该算法能够得到一个稳态的非平凡解,从而能够避免中止时间的选取.最后的仿真实验表明,本文算法的有效性.
Image denoised algorithm based on partial differential equation is an effective and simple method. Preserving some important features such as edges,comers and details is a very important issue while image removing Geometric properties of images have been incorporated in noise-removal PDEs by regarding the intensity image as a two-dimensional surface in a three-dimensional space.An improved noise-removal algorithm is presented based on Gauss curvature to preserve image feature.It has the advantage of having a nontrivial steady state,therefore eliminating the problem of choosing a stopping time.Experimental results show theft our method is effective, compared with the algorithm based on other one.
出处
《红外与激光工程》
EI
CSCD
北大核心
2006年第z4期156-159,共4页
Infrared and Laser Engineering
关键词
偏微分方程
图像降噪
高斯曲率
Partial differential equation
Image denoising
Gauss curvature
