Thanks for the insight.
That is what I have been doing. I have read somewhere that there could be a comparative SNR and the main reason that I ask is that PSNR as its name indicates is interested in an image’s peak rather than the average, so it got me thinking.
I would want to learn how to do it via
fill, since I have yet to learn about
pointcloud . This is what I would like to do, which of course could be expanded to other pixel herding possibilities:
New question: So far I have been using
i in my
fill calculations but how about
I? I must admit that I struggle with anything that has to do with vectors at this point. However, in terms of thresholds, it might be useful. E.g., when I do a threshold on a color image using
i, it does it for each channel, yielding a colored result. But say I wanted to replace all colors with negative values with nans or some other value, how would I do that?