Xref: utzoo comp.graphics:5851 comp.ivideodisc:209 Path: utzoo!attcan!utgpu!jarvis.csri.toronto.edu!rutgers!cs.utexas.edu!uunet!seismo!esosun!cogen!celerity!celit!billd From: billd@celerity.UUCP (Bill Davidson) Newsgroups: comp.graphics,comp.ivideodisc Subject: more color quantization Message-ID: <313@celit.UUCP> Date: 24 May 89 08:33:54 GMT References: <12700@shamash.cdc.com> <30@oink.UUCP> Sender: news@celerity Reply-To: billd@celerity (Bill Davidson) Organization: FPS Computing Inc., San Diego CA Lines: 17 Well, I tried my idea for modifying the median cut method by cutting at a point in which each half of the array represented roughly the same number of pixels in the original image. I got varying results. Some images were *slightly* degraded. You could only tell in detailed spots with rare colors. This is rare in the images I have. Several images showed no discernable affect over just using a standard median cut and doing a weighted average for each box. A few images were vastly improved. Ray-tracing images which involved shiny reflective spheres lost almost all banding! I really had to look close to see any at all. The background had been badly banded before and it's banding disappeared. I expected a slight improvement and I got a vast improvement. So, what's the verdict? Did I re-invent the wheel (or at least a spoke :-) or what? If somebody doesn't say something first, I'll probably try to figure the mean quantization error for the entire image with of these variants and try to figure best/worst case scenarios. Bill Davidson ...!{ucsd,sdsu,fpssun,cogen,chip,photon}!celerity!billd