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I want to implement Wiener filter. I have original image and image blured with linear motion. The one thing I am lack of(to implement it) is Noise power spectrum.

I know that it is hard task. I've took a look on different papers http://kmh-lanl.hansonhub.com/publications/medim98a.pdf and https://www.ima.umn.edu/2005-2006/MM8.9-18.06/activities/Wohlberg-Brendt/team5_rep.pdf

I don't understand why it is that complicated to just find noise spectrum if I have original signal(image)?

If I take noise image minus original image, it will be my error image. And if I estimate variance of it, that will be my Noise variance(Noise Power)?

I totally confused and here is my question: " How to estimate Power spectrum of the noise of the blured image if I have original image?"

Btw, I don't want get some matlab function which will do all of it, but rather algorithm or equation that I can implement.

Happy New Year!

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migrated from stackoverflow.com Jan 7 '15 at 14:15

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  • $\begingroup$ Oh, really! I'm sorry, I didn't know that you have this! Thank you! $\endgroup$ – Mykola Servetnyk Jan 7 '15 at 1:15
  • $\begingroup$ No worries! :-) $\endgroup$ – A. Donda Jan 7 '15 at 12:22

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