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

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The syntax given for singular value decomposition is svd(x).
I tried it with my image, but it didn't work. Can you tell me how to work with svd for images please?
  2 Comments
David Young
David Young on 2 Mar 2011
Please could you say what the error message was, and also show any other parts of your code that might be relevant.
Andreas Goser
Andreas Goser on 2 Mar 2011
While I agree with David on the need for specifics, my crystal ball tells my this is about data types and will craft an answer for that...

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Accepted Answer

Andreas Goser
Andreas Goser on 2 Mar 2011
This sounds like it is about data types or sizes. Example
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'.

More Answers (5)

meenakshi
meenakshi on 6 Sep 2011
HELLO GOSER
i=imread('pout.tif');
i=im2double(i)
[u s v]=svd(i);
you can try like this.
k.meenakshi
  1 Comment
Walter Roberson
Walter Roberson on 6 Sep 2011
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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slama najla
slama najla on 21 Apr 2012
Hello, can some body help me with the code of SVD decomposition in 3d medical data in matlab please.

slama najla
slama najla on 28 Apr 2012
But many approaches use it us decomposition for 3d data in watermarking,this is why i reask this question.thanks
  2 Comments
Walter Roberson
Walter Roberson on 28 Apr 2012
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
Neelam Yadav on 18 Sep 2020
Hello, can anyone help me how I get different image for U,S,V in svd

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Ayesha Iftikhar
Ayesha Iftikhar on 19 Sep 2018
Hello can any one help me how to use SVD for feature extraction

vasanthi Muniasamy
vasanthi Muniasamy on 24 May 2019
i=imread('pout.tif');
i=im2double(i)
[u s v]=svd(rgb2gray(i));

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