Xref: utzoo alt.fractals:229 comp.graphics:10989 Path: utzoo!utgpu!watserv1!watmath!att!bu.edu!lll-winken!uwm.edu!rpi!zaphod.mps.ohio-state.edu!uakari.primate.wisc.edu!ames!deimos!patterso From: patterso@deimos.ADS.COM (Tim J. Patterson) Newsgroups: alt.fractals,comp.graphics Subject: Re: How well does Barnsley's system perform? Message-ID: <11565@deimos.ADS.COM> Date: 12 Apr 90 22:46:52 GMT References: <3166@usceast.UUCP> <1571@dftsrv.gsfc.nasa.gov> <11486@deimos.ADS.COM> <22023@bellcore.bellcore.com> Organization: Advanced Decision Systems Lines: 30 Organization: Advanced Decision Systems In article <22023@bellcore.bellcore.com> sjs@bellcore.com (Stan Switzer) writes: >Regarding Barnsley's method: > >> I've seen one of the images which was compressed 10,000 to one. It >> took a huge amount of time ( I vaguely recall days) to do the >> compression. Overall quality was not very good but what do you expect >> at that compression rate? > >Unless the nature of the image degradation can be characterized in >some formal way, the technique will only be useful for producing >Gaughinesque renditions of scanned images. I can see some >applications where all you need is gee-whiz graphics, but I can't see >how how it could be useful beyond that. > >On the other hand, if the nature of the image quality degradation >could be formally (and publicly) described, then the technique might >be useful in a wide range of applications. As it stands, it is >impossible to tell. > >Stan Switzer sjs@bellcore.com There have been a lot of different measures proposed for compression error analysis--rms error, edge loss, rms in the hvs space etc. and to my knowledge nobody has a definative image quality index. What are you really saying when requesting a formal public measure and saying this would make the technique useful? Tim