Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!seismo!rutgers!ames!ucbcad!ucbvax!ucsfcgl!pixar!ph From: ph@pixar.UUCP (Paul Heckbert) Newsgroups: comp.graphics Subject: Re: A few questions Message-ID: <476@pixar.UUCP> Date: Tue, 20-Jan-87 02:34:29 EST Article-I.D.: pixar.476 Posted: Tue Jan 20 02:34:29 1987 Date-Received: Tue, 20-Jan-87 23:43:19 EST References: <563@vu-vlsi.UUCP> Organization: Pixar -- Marin County, California Lines: 25 Keywords: color distribution Summary: compression vs. quantization In article <563@vu-vlsi.UUCP>, williams@vu-vlsi.UUCP (Thomas Williams) asks how to quantize a 24-bit image down to 8 bits. And Ed Falk is right regarding the popularity of this topic: it does come up extremely often. I count five independent queries about it here in the past 2 years! Skip Montanaro's statement that DeFanti's technique can present a 24-bit image on a 6-bit frame buffer isn't quite correct. What I did in my SIGGRAPH '82 paper was quantization for display on frame buffers with a colormap, but DeFanti's SIGGRAPH '86 paper is about image compression. My goal was display on a limited frame buffer, while his was compact storage and transmission. For each 4x4 block of pixels DeFanti transmits a bitmap (16 bits) plus two 8-bit pixel values which index into a colormap, so that's 32 bits / 16 pixels = 2 bits per pixel, plus one colormap per picture. It takes some hardware or software processing to convert his coded blocks into pixel values. His technique is more akin to other compression techniques (Huffman coding, transform coding, etc.) than it is to simple quantization. 'Til next time, Paul Heckbert Pixar 415-258-2303 P.O. Box 13719 UUCP: {sun,ucbvax}!pixar!ph San Rafael, CA 94913 ARPA: ph%pixar.uucp@ucbvax.berkeley.edu