whitening filter without eigen values in matlab

To perform whitening filtering without using eigenvalues in MATLAB, you can follow these steps:

1. Read the input image using the imread function:

   main.m
   image = imread('input_image.jpg');
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2. Convert the image to grayscale if it is in RGB format:

   main.m
   image = rgb2gray(image);
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3. Calculate the mean and standard deviation of the image:

   main.m
   meanVal = mean(double(image(:)));
   stdVal = std(double(image(:)));
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4. Normalize the image by subtracting the mean and dividing by the standard deviation:

   main.m
   normalizedImage = (double(image) - meanVal) / stdVal;
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5. Apply the whitening filter to the normalized image by dividing the pixel values by their standard deviation:

   main.m
   whitenedImage = normalizedImage / std(normalizedImage(:));
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6. Rescale the whitened image to the range [0, 255] if desired:

   main.m
   whitenedImage = uint8(255 * whitenedImage);
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7. Display the whitened image:

   main.m
   imshow(whitenedImage);
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Make sure to replace 'input_image.jpg' with the path to your actual input image file.

Note: This method of whitening filtering does not involve the use of eigenvalues. Instead, it normalizes the image by subtracting the mean and dividing by the standard deviation, which serves to whiten the image.