Research for image smoothing processing denoising question. The traditional image smoothing algorithms destroy the edge in eliminating noises, texture and other image characteristics can not be maintained as the o-riginal image. To solve this problem, a heterosexual spread of Perona & Malik algorithm is proposed based on PDE's. By introducing Gaussian smoothing operator, P & M model uses the adjustable diffusion coefficient to improve the smoothing effect of the algorithm and reduces noise without destroy the characteristics of these features. The simula-tion analysis shows that the proposed algorithm has obvious effect to isolated noise points, and not much affects the o-riginal image feature.%研究图像平滑处理去噪问题.针对传统图像平滑算法在去除噪声的同时会破坏边缘、纹理等不能保持原图图像特征.为解决此问题,提出了一种基于PDE's各项异性的扩散Perona&Malik算法.通过引入高斯平滑算子,利用P&M模型的可调扩散系数来改善图像平滑效果,在抑制噪声的同时能够保持这些特征的特点.通过仿真分析表明,所提出的算法对孤立的噪声点平滑效果明显,同时也不会过多地影响原来图像的特征.
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