Path: utzoo!attcan!uunet!aplcen!haven!decuac!shlump.nac.dec.com!ryn.esg.dec.com!allvax.enet.dec.com!jroth From: jroth@allvax.enet.dec.com (Jim Roth) Newsgroups: comp.graphics Subject: Re: Octree vs. Median Cut Color Quantization Message-ID: <3310@ryn.esg.dec.com> Date: 25 Oct 90 14:57:49 GMT Sender: guest@ryn.esg.dec.com Organization: Digital Equipment Corporation Lines: 17 In article <579@lobster.NOSC.Mil>, gag@lobster.NOSC.Mil (Gary A. Gilbreath) writes... > >Has anybody else out there implemented the octree quantization algorithm >described in _Graphics Gems_, "A Simple Method for Color Quantization: Octree >Quantization", by Gervautz and Purgathofer? I haven't tried the Octree, but its main advantage would seem to be simplicity and speed. In my experience, a variance based assignment gives the best results of all. I've certainly never seen different performance in different parts of the image! Median or simple midpoint subdivision of bounding boxes does not work as well as variance minimizing subdivision - there is a noticible difference. - Jim