MATLAB图像噪声添加与滤波

在 MATLAB 中添加图像噪声和进行滤波通常使用以下函数：

添加噪声：可以使用imnoise函数向图像添加各种类型的噪声，如高斯噪声、椒盐噪声等。
滤波：可以使用各种滤波器对图像进行滤波处理，例如中值滤波、高斯滤波等。

下面是一个示例代码，演示如何在 MATLAB 中添加高斯噪声、椒盐噪声，并使用中值滤波和高斯滤波进行滤波：

% 读取图像
image = imread('lena.png');

% 添加高斯噪声
noisy_image_gaussian = imnoise(image, 'gaussian', 0, 0.02);

% 添加椒盐噪声
noisy_image_salt_and_pepper = imnoise(image, 'salt & pepper', 0.05);

% 中值滤波
filtered_image_median_gaussian = medfilt2(noisy_image_gaussian, [3, 3]);
filtered_image_median_salt_and_pepper = medfilt2(noisy_image_salt_and_pepper, [3, 3]);

% 高斯滤波
filtered_image_gaussian_gaussian = imgaussfilt(noisy_image_gaussian, 2);
filtered_image_gaussian_salt_and_pepper = imgaussfilt(noisy_image_salt_and_pepper, 2);

% 显示结果
subplot(3, 3, 1);
imshow(image);
title('Original Image');

subplot(3, 3, 2);
imshow(noisy_image_gaussian);
title('Gaussian Noisy Image');

subplot(3, 3, 3);
imshow(noisy_image_salt_and_pepper);
title('Salt & Pepper Noisy Image');

subplot(3, 3, 4);
imshow(filtered_image_median_gaussian);
title('Median Filter (Gaussian Noise)');

subplot(3, 3, 5);
imshow(filtered_image_median_salt_and_pepper);
title('Median Filter (Salt & Pepper Noise)');

subplot(3, 3, 6);
imshow(filtered_image_gaussian_gaussian);
title('Gaussian Filter (Gaussian Noise)');

subplot(3, 3, 7);
imshow(filtered_image_gaussian_salt_and_pepper);
title('Gaussian Filter (Salt & Pepper Noise)');

说明：