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!