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I understood that.
I assume that you have either come to this conclusion because you tested this in the past or are going to test it, since i assume it requires changing only a single number. I just wanted to point out that my impression from practical use was that it would probable be helpful to allow setting lower values. Currently the minimum is 0.1%. If you think 0.001%  is too low, maybe 0.01 is fine? or maybe 0.03? It would probably depending on how noisy the images are and what kinds of subjects are being photographed. So even if testing sais that a certain number is the sensible limit, there are probably use cases that were not tested where lower numbers make sense.
 
I didn't mean Method 1 and 2 to be alternaties to each other. My intention is to use them together.
 
I don't know if what I wrote above about stabilising the result by averaging over a range of % values helps in this use case (photos). I dont know if you want to try that. I could try to code a simulation, but I dont have much time for such things right now.