本实验要求根据课本中给出的高斯噪声和椒盐噪声的概率分布的形状和参数编写两个通用程序分别给一个图像中添加高斯噪声和椒盐噪声。高斯噪声是n维分布都服从高斯分布的噪声，椒盐噪声是图像中经常见到的一种噪声是一种随机的黑点或者白点。在实验中通过它们对应的概率密度函数得到噪声分布函数进而与原图像进行叠加产生出对应的噪声图像-Textbooks in this experiment are given under the Gaussian noise and salt and pepper noise in

用MFC写的，为图像添加高斯噪声，均衡噪声，椒盐噪声，并做阿尔法均值滤波，以及自适应均值滤波-Written with MFC, added to the image Gaussian noise, balanced noise, salt and pepper noise, and do Alpha mean filter, as well as adaptive mean filter

把彩色图像转换成灰度图像进行中值滤波 对彩色图像添加高斯噪声，然后对其进行中值滤波处理，得到图像与原图进行对比，实现中值滤波功能。-Converting the color image into a gray-scale image median filtering Gaussian noise added to the color image, then subjected to a median filtering process, to obtain an image with the

在原图像上加入椒盐噪音，用种植滤波法将噪音去除，已达到图片清晰的效果。-Added salt and pepper noise on the original image, with the planting of noise removal filter method, has reached a clear picture of the effect.