Just wanted to understand how the wiener filter works.
I was looking at https://www.mathworks.com/help/images/ref/wiener2.html, and read "The Wiener filter tailors itself to the local image variance. Where the variance is large, wiener2 performs little smoothing. Where the variance is small, wiener2 performs more smoothing." I would assume that where the noise variance is large, the wiener2 would perform more smoothing to remove the noise. Am I misunderstanding something here?
Also, is there another way to calculate the noise parameter, since they allow one to input their own value in the wiener function? Say you had a signal to noise ratio, how would you specify that as an input?
Thank you.