write a program that adds salt and pepper noise to an image. in this case, the input variables of your program should be the probabilities pa and pb of the salt and pepper noise components. in matlab

Here is a MATLAB program that adds salt and pepper noise to an input image:

main.m
% read image
img = imread('input_image.png');

% convert to grayscale if necessary
if size(img, 3) == 3
    img = rgb2gray(img);
end

% set salt and pepper probabilities
pa = 0.05; % probability of salt (white pixels)
pb = 0.05; % probability of pepper (black pixels)

% generate noise matrix
noise = rand(size(img));

% add salt noise
img(noise < pa) = 255;

% add pepper noise
img(noise > 1 - pb) = 0;

% save noise image
imwrite(img, 'output_image.png');
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In this program, we first read the input image and convert it to grayscale if it is a color image. We then set the probabilities pa and pb of the salt and pepper noise components, respectively. We generate a noise matrix of the same size as the input image using the rand() function. We then add salt noise to the input image by setting all pixels in the noise matrix that are less than pa to white (i.e., 255). We add pepper noise to the input image by setting all pixels in the noise matrix that are greater than 1 - pb to black (i.e., 0). Finally, we save the noisy image as an output.

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