add 90% salt and pepper noise and remove it with one of the latest methods in the literature (armf, awmf, iawmf, aswmf, damf, imf etc.). interpret the filtered image. in matlab

To add 90% salt and pepper noise in MATLAB, we can use the imnoise function with 'salt & pepper' as the noise type and the noise density set to 0.9. Here's an example:

main.m
originalImage = imread('image.jpg'); % replace with actual image
noisyImage = imnoise(originalImage, 'salt & pepper', 0.9);
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To remove the noise using one of the latest methods in the literature, we can use the Adaptive Weighted Median Filter (AWMF) algorithm. This algorithm adapts the filter weights based on the difference between the center pixel and its neighbors, and is known to be effective in removing salt and pepper noise. Here's how to implement it:

main.m
filteredImage = awmf(noisyImage);
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To interpret the filtered image, we can visualize it using imshow and compare it with the original and noisy images. Here's an example:

main.m
imshow(originalImage);
title('Original Image');

figure;
imshow(noisyImage);
title('Noisy Image');

figure;
imshow(filteredImage);
title('Filtered Image');
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The resulting images can help us evaluate the performance of the noise reduction algorithm.