What is the difference between principal component analysis and singular value decomposition in image processing? Which one performs better, and why?

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    $\begingroup$ Is there are particular (image processing) application you're interested in? PCA and SVD are quite general techniques. $\endgroup$
    – nbro
    Dec 18 '19 at 13:57
  • $\begingroup$ The application are Missing Person Detection using python @nbro $\endgroup$
    – D_Raja
    Dec 18 '19 at 14:02

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