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reconstructing image that has been decompposed using svd

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buddy
buddy 2011-3-4
i have decomposed my image using svd... and modified the singular values..now i have three vectors..U S and V..can u pls help me to reconstruct my image.is there any keywords that would perform the inverse work of svd??

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采纳的回答

Matt Tearle
Matt Tearle 2011-3-4
What do you mean by "the inverse of SVD"? The SVD is a decomposition: A = U*S*V' so reconstructing A just requires performing the multiplication.
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buddy
buddy 2011-3-4
thank you... i just thought there wil be some predefined keyword.. thanks it works in this way..

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更多回答（2 个）

Liz Hahn
Liz Hahn 2012-5-18
So A will be my image in principal component axis?
Liz Hahn
Liz Hahn 2012-5-18
If I set data as my input image %svd: [u,s,v] = svd(data) data_new1 = u*s*v'; %pca [coef,score] = pca(data); data_new2 = (score')*data;
Are data_new1 = data_new2?

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