Utilizing imperfections of pseudo-random number generators.

A bad PRNg can produce visible artifacts on an image (which you might have seen if you've ever tried using your own in a ray tracer for example).

It would be interesting to see these statistical imperfections utilized in a deliberate way, not by mistake.

(it's kinda between programming and math, idk where to post it)

=> Posted in: s/Math | ๐Ÿš€ vstrecha

2024-10-24 ยท 3 months ago

2 Comments โ†“

=> ๐Ÿฆ‰ satya [mod] ยท Oct 24 at 14:37:

Hmm yes. This is definitely at home in Math.

Can we predict what type of artifacts different imperfections create?

=> ๐Ÿš€ vstrecha [OP] ยท Oct 24 at 17:21:

It depends on the application. In the case of that raytracer, oversample certain areas while ignoring others, only bounce in a few directions instead of evenly and so on. Now you can of course do all of that biasing manually and it'll look a lot better but what's the fun in that?

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