EDITED
clc
clear all
myFolder='E:\MRP\accuracy\class2'
m=input('Type the Number of Images to Process:');
for k = 1:m
jpgFilename = sprintf('%d.jpg', k);
fullFileName = fullfile(myFolder, jpgFilename);
% end
grayImage = imread(fullFileName))
% Get the dimensions of the image. numberOfColorBands should be = 1.
[rows columns numberOfColorBands] = size(grayImage);
if numberOfColorBands==3
grayImage=rgb2gray(grayImage);
else
grayImage=grayImage;
end
% Display the original image.
figure('name','grayImage','numbertitle','off');imshow(grayImage);
fontSize=10
% Enlarge figure to full screen.
% Generate a noisy image with salt and pepper noise.
noisyImage = imnoise(grayImage,'salt & pepper', 0.05);
figure('name','noisyImage','numbertitle','off');imshow(noisyImage);
% Median Filter the image:
medianFilteredImage = medfilt2(noisyImage, [3 3]);
% Find the noise. It will have a gray level of either 0 or 255.
noiseImage = (noisyImage == 0 | noisyImage == 255);
% Get rid of the noise by replacing with median.
noiseFreeImage = noisyImage; % Initialize
noiseFreeImage(noiseImage) = medianFilteredImage(noiseImage); % Replace.
% Display the image.
figure('name','Restored Image','numbertitle','off');imshow(noiseFreeImage);
% figure,imshow(noiseFreeImage);
% title('Restored Image', 'FontSize', fontSize);
end
