How do I apply SVD (Singular Value Decomposition) to an image?

pout = imread('pout.tif');
svd(pout) % does not work
??? Undefined function or method 'svd' for input arguments of type 'uint8'.
svd(double(pout)) % works

I can however not comment on the mathematical sense of this. I you have another image format like here, you need to think about what you actually like to achieve

I = imread('board.tif');
svd(double(I))
??? Undefined function or method 'svd' for input arguments of type 'double' and
attributes 'full 3d real'.

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buddy 2011-3-2

thank u sir.. i understand it is bcos of datatype..

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Answer 2

meenakshi 2011-9-6

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https://ww2.mathworks.cn/matlabcentral/answers/2327-how-do-i-apply-svd-singular-value-decomposition-to-an-image#answer_20614

在 MATLAB Online 中打开

HELLO GOSER

                   i=imread('pout.tif');
                   i=im2double(i)
                   [u s v]=svd(i);

you can try like this.

k.meenakshi

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Walter Roberson 2011-9-6

That would not have any more success than svd(double(I)) if I is a truecolor (3D) image. Remember, images can be stored as pseudocolor (2D arrays in which the values indicate which index to use out of a color map), or as truecolor (3D arrays in which the values directly indicate the color information for each pixel without any map.) The problem is that svd() of a pseudocolor image is not meaningful, and svd() of a 3D array is not allowed. The only choice available to get anything useful out is to convert the image to grayscale and svd() the grayscale image.

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Answer 3

slama najla 2012-4-21

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https://ww2.mathworks.cn/matlabcentral/answers/2327-how-do-i-apply-svd-singular-value-decomposition-to-an-image#answer_45249

Hello, can some body help me with the code of SVD decomposition in 3d medical data in matlab please.

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Walter Roberson 2012-4-21

No. SVD is only for 2D.

You could take the svd() of each plane.

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Answer 4

slama najla 2012-4-28

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https://ww2.mathworks.cn/matlabcentral/answers/2327-how-do-i-apply-svd-singular-value-decomposition-to-an-image#answer_46055

But many approaches use it us decomposition for 3d data in watermarking,this is why i reask this question.thanks

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Walter Roberson 2012-4-28

SVD is *defined* in terms of rectangular matrices. There is no method to apply SVD to a 3D matrix. I looked at some of the articles about color image watermarking using svd, and of the ones I could access, not one of them attempted to apply SVD to a 3D matrix.

Neelam Yadav 2020-9-18