元胞自动机在图像高密度椒盐噪声去噪中的应用

Cellular automata for image serious salt-pepper noises filtering

为了提高对高密度椒盐噪声的滤波效果,针对图像椒盐噪声的特点,本文提出了一种基于元胞自动机的去噪算法。元胞自动机最核心的是状态转移函数,本算法采用Moore邻域的形式设计了一种新的状态转移函数。我们把这种算法对图像处理的结果和经典的中值滤波等处理的结果的图像和它们的PSNR值进行比较,结果表明本文提出的算法对椒盐噪声,尤其对高密度椒盐噪声的滤波,在视觉和客观指标上都有更好的去噪效果。

For improving the effect of serious salt-and-pepper noises filtering,according to the salt-and-pepper noises′ feature,a novel denoising algorithm based on cellular automata was proposed.Cellular automata′s core is the state transition function,this paper adopted a new state transition function with a Moore neighborhood.Compared images and their PSNR filtered by classical median filtering and so on.The result showed the new denoising algorithm especially while the noises is very serious has better denoising effect in sense of sight and objective indicators.