MATLAB: To remove the noise using Median Filtering.

median filter

This is my code for median filtering..i have 5 image in "class2" folder. Am able to display only the 1st image of original & noise image. Its not displaying the resorted image, as well the other remaining 4 images..can anyone help me out to correct the error..
 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);
 % Display the original image.
  figure,imshow(grayImage);
title('Original Gray Scale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Position', get(0,'Screensize')); 
 % Generate a noisy image with salt and pepper noise.
  noisyImage = imnoise(grayImage,'salt & pepper', 0.05);
  figure,imshow(noisyImage);
  title('Image with Salt and Pepper Noise', 'FontSize', fontSize);
% 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,imshow(noiseFreeImage);
title('Restored Image', 'FontSize', fontSize);

Best Answer

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
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