Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 9/18/84; site turtlevax.UUCP Path: utzoo!linus!philabs!cmcl2!seismo!harvard!talcott!panda!genrad!decvax!decwrl!turtlevax!ken From: ken@turtlevax.UUCP (Ken Turkowski) Newsgroups: net.graphics,net.math Subject: Stochastic Sampling and Distributed Ray Tracing Message-ID: <843@turtlevax.UUCP> Date: Mon, 29-Jul-85 20:47:11 EDT Article-I.D.: turtleva.843 Posted: Mon Jul 29 20:47:11 1985 Date-Received: Thu, 1-Aug-85 20:13:19 EDT Reply-To: ken@turtlevax.UUCP (Ken Turkowski) Organization: CADLINC, Inc. @ Menlo Park, CA Lines: 16 Keywords: aliasing, sampling, Shannon/Nyquist Sampling Theorem Xref: linus net.graphics:935 net.math:1784 This year's SIGGRAPH impressed on me the profundity of stochastic sampling on the aliasing problem. In a nutshell, distributed ray tracing and stochastic sampling perform sampling on a random (e.g. Poisson disk) rather than regular grid. The result is that the regular artifacts of aliasing are instead converted into white noise (with an appropriate probabilistic distribution of sampling points), which is less apt to be noticed by the eye. I suspect that the aliasing energy is equal to the white noise energy, and that the signal energy is the same. Is there a theory to back this up? Any references to peripheral literature related to the subject? -- Ken Turkowski @ CADLINC, Menlo Park, CA UUCP: {amd,decwrl,hplabs,nsc,seismo,spar}!turtlevax!ken ARPA: turtlevax!ken@DECWRL.ARPA