MATLAB: How to remove gaussian noise

gray scaleguassian filter

I image dataset having 250 images , image size with 240*240 grayscale image. I want to remove noise using guassian filter all at once and want to store the images in folder. How can I do it.

Best Answer

Please refer the link, how to call sequences of images from an folder?

https://matlab.fandom.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

Once the image call done (One By One)

for 
image_data=imread(filename);
%% Applyfilter
filter_image=imfilter(....)
% Set the path to save the filtered image
imwrite(filter_image,path)
end

There are multiple Answers that are available for similar questions in MATLAB Answers

Steps:

Call the image form an folder (One by One)
Apply Filter
Save the filter image in diffeerent folder

Related Solutions

MATLAB: Adding Noise to the Image

Try this:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
clear;  % Erase all existing variables.
workspace;  % Make sure the workspace panel is showing.
format longg;
format compact;
fontSize = 20;
%===============================================================================
% Read in a standard MATLAB gray scale demo image.
folder = fileparts(which('cameraman.tif')); % Determine where demo folder is (works with all versions).
baseFileName = 'cameraman.tif';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
  % File doesn't exist -- didn't find it there.  Check the search path for it.
  fullFileNameOnSearchPath = baseFileName; % No path this time.
  if ~exist(fullFileNameOnSearchPath, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
grayImage = imread(fullFileName);
% Get the dimensions of the image.  
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorBands] = size(grayImage);
if numberOfColorBands > 1
  % It's not really gray scale like we expected - it's color.
  % Convert it to gray scale by taking only the green channel.
  grayImage = grayImage(:, :, 2); % Take green channel.
end
% Display the original gray scale image.
subplot(1, 2, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off') 
% Initialize an output image.
noisyImage = grayImage; % Initialize
% Get 5,000 random locations
noiseIndexes = randperm(numel(grayImage), 5000);
% Add noise
noisyImage(noiseIndexes) = 255;
% Display the noisy image.
subplot(1, 2, 2);
imshow(noisyImage, []);
title('Noisy Image', 'FontSize', fontSize);
axis on;

MATLAB: Medfilt2 parameter coding problem

Pass in the window size

medianFilteredImage = medfilt2(J, 'indexed', [3 3]);

You can use whatever window size you want, but for Salt and Pepper, 3 by 3 should work as long as the noise is not really severe.

Best Answer

Related Solutions

MATLAB: Adding Noise to the Image

MATLAB: Medfilt2 parameter coding problem

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