摘要： 讨论一种基于非线性扩散方程的彩色图像去噪方法。在图像去噪的3个基本要求的基础上，总结出调和项模型和彩色总变差去噪模型中的不足，利用图像的局部信息构造函数使得模型在接近图像边缘处各向异性平滑并保持边界。在平坦区域各向同性平滑，防止阶梯效应的产生，并利用角点信息保持了角点形状。实验结果表明，所建模型能够较好地保持图像中目标的几何结构，同时具有良好的去噪 能力。

关键词: 各向同性, 各向异性, 总变差模型, 图像去噪

Abstract: A new anisotropic diffusion based image denoising method is proposed by analyzing the traditional important denoising models: harmonical model, Color Total Variation(CTV) model. Three requirements of image denoising are proposed. Using the structure information, the new model can anisotropic diffuse the image in the edge region and isotropic diffuse the flat region. In order to contain the corn region, the corn information is added to the new model. Experimental results show that the new denoising method is capable of sufficiently preserving geometric information such as edges and corners in addition to its effectiveness for image denoising.

Key words: isotropic, anisotropic, Color Total Variation(CTV), image denoising

中图分类号: 

• TP391