noise reduction image in matlab

To perform noise reduction on an image in MATLAB, there are various signal processing filters that can be applied. One of the most commonly used filters is the Gaussian filter. Here is an example code block that shows how to implement the Gaussian filter for noise reduction in MATLAB:

main.m
% Read the image file
img = imread('noisy_image.png');

% Convert the image to double precision
img = im2double(img);

% Define the standard deviation of the Gaussian filter
sigma = 2;

% Apply the Gaussian filter to the image
filtered_img = imgaussfilt(img, sigma);

% Display the filtered image
imshow(filtered_img);
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In this code, we first read the noisy image file and convert it to double precision. We then define the standard deviation of the Gaussian filter and apply it to the image using the imgaussfilt function. Finally, we display the filtered image using the imshow function.