how to remove gaussian noise?

Question

RAJSHREE SRIVASTAVA 2020-12-28

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/703617-how-to-remove-gaussian-noise

编辑： KALYAN ACHARJYA 2020-12-28

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.

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Answer 1

KALYAN ACHARJYA 2020-12-28

0
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/703617-how-to-remove-gaussian-noise#answer_585482

在 MATLAB Online 中打开

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

:)

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RAJSHREE SRIVASTAVA 2020-12-28

在 MATLAB Online 中打开

clc;	
clear;	
close all;	
imtool close all;	
workspace;	
fontSize = 15;
folder = fullfile(matlabroot, 'E:\matlab\croped image\benign');
baseFileName = '2.1.jpg';
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
	
	fullFileName = baseFileName; % No path this time.
	if ~exist(fullFileName, 'file')
		% Still didn't find it.  Alert user.
		errorMessage = sprintf('Error: %s does not exist.', fullFileName);
		uiwait(warndlg(errorMessage));
		return;
	end
end
grayImage = imread(fullFileName);
[rows columns numberOfColorBands] = size(grayImage);
subplot(2, 2, 1);
imshow(grayImage);
title('Original Gray Scale Image', 'FontSize', fontSize);
set(gcf, 'Position', get(0,'Screensize')); 
noisyImage = imnoise(grayImage,'salt & pepper', 0.05);
subplot(2, 2, 2);
imshow(noisyImage);
title('Image with Salt and Pepper Noise', 'FontSize', fontSize);
medianFilteredImage = medfilt2(noisyImage, [3 3]);
noiseImage = (noisyImage == 0 | noisyImage == 255);
noiseFreeImage = noisyImage; % Initialize
noiseFreeImage(noiseImage) = medianFilteredImage(noiseImage); % Replace.
subplot(2, 2, 3);
imshow(noiseFreeImage);
title('Restored Image', 'FontSize', fontSize);