摘 要随着我们生活水平的提高，科技产品飞速更新换代，在信息传输中，图像传输所占的比重越来越大。但自然噪声会在图像传输时干扰其传输过程，甚至会使图片不能表达其原来的意义。去噪处理就是为了去除图像中的噪声，从而提升图像质量。因此，研究针对噪声的去噪方法是十分必要的。文中首先分析了几种图像的去噪算法相关知识。有许多类型的图像去噪法，可以分为以下两种方法：空间滤波和频率场滤波。 本文主要介绍了中值滤波、均值滤波、频域低通滤波去噪算法。 首先，嵌入它们的共同功能及其在图像处理应用中的用途。 其次，阐述了一些去噪算法的原理和特点。 最后，matlab 用于对图片模拟和去噪。Matlab 仿真结果表明，不同的去噪算法各有优势。在这些去噪算法中，均值滤波是一种较为普遍的线性滤波，一般适用于高斯噪声的类型。中值滤波是一种比较常见的非线性过滤，特别是对于椒盐噪声，使用中值滤波法效果更佳。因此，在对一幅图片进行去噪操作之前，首先要分析噪声的类型以及其产生的原因，然后再选择合适的去噪算法，这样才能达到比较好的去噪效果。关键词：图像噪声；图像去噪算法；中值滤波；均值滤波；matlab。AbstractWith the improvement of our living standards and the rapid upgrading of technology products, image transmission accounts for a larger proportion in information transmission. However, IIInatural noise will interfere with the transmission process during image transmission, and even the picture cannot express its original meaning. Denoising is done to remove noise from the image and improve image quality. Therefore, it is necessary to study the denoising method for noise.In this paper, the knowledge of several images of denoising algorithms is first analyzed. There are many types of image denoising methods that can be divided into the following two methods: spatial filtering and frequency field filtering. This paper mainly introduces median filtering, mean filtering, and frequency domain low-pass filtering denoising algorithms. First, embed their common features and their use in image processi...
