I was wondering about super simple applications of linear or logistic regression to signal processing (image processing specifically)?

I'm a math guy that's been asked to explain some mathematical methods to signal/image processing people, and I'd like to be able to use a couple simple examples that are related to their field, but I know little about image processing. So, I'm not looking for anything complicated (I don't know the subject, so the simpler the better; I'm just hoping to find something to demonstrate the applicability of these algorithms).

Thank you for your help!

  • $\begingroup$ infilling gaps? $\endgroup$
    – endolith
    Apr 10, 2012 at 15:00

2 Answers 2


In image processing all I can think of is using linear regression to fit a plane to the intensity surface of an image, and using logistic regression for some kind of supervised thresholding...

You might be better off using an example from computer vision instead. For example texture classification or object recognition.


In Hyperspectral imaging linear regression is often used for target identification.

  • $\begingroup$ Can you expand on this please? $\endgroup$
    – Spacey
    May 14, 2012 at 5:27

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