whitening transformation in matlab

To perform whitening transformation in MATLAB, you can follow these steps:

  1. Read the image using the imread function and convert it to a double precision format:

    main.m
    % Read the image
    img = imread('image.jpg');
    
    % Convert to double precision
    img = im2double(img);
    
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  2. Calculate the mean and standard deviation of the image:

    main.m
    % Calculate the mean
    img_mean = mean(img(:));
    
    % Calculate the standard deviation
    img_std = std(img(:));
    
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  3. Apply the whitening transformation:

    main.m
    % Subtract the mean from the image
    img = img - img_mean;
    
    % Divide by the standard deviation
    img = img / img_std;
    
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  4. Ensure that the output image has zero mean and unit standard deviation:

    main.m
    % Calculate the new mean
    img_new_mean = mean(img(:));
    
    % Calculate the new standard deviation
    img_new_std = std(img(:));
    
    % Display the new mean and standard deviation
    disp(['New Mean: ' num2str(img_new_mean)]);
    disp(['New Standard Deviation: ' num2str(img_new_std)]);
    
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Note that the resulting image will have zero mean and unit standard deviation, which is a desirable property for certain image processing tasks.

Remember to replace 'image.jpg' with the path to your image file.

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