Article View: sci.image.processing
Article #822Re: Similarity metric for images
From: Kees de Graaf
Date: Wed, 16 Dec 1992 08:44
Date: Wed, 16 Dec 1992 08:44
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In <85391@ut-emx.uucp> psilsbee@ccwf.cc.utexas.edu (Peter Silsbee) writes: | [deleted] | ... if the claim is that (to quote myself) "this method produces | superior images in the sense that human viewers find them more visually | pleasing," which is certainly not the only claim that is ever made about | image processing algorithms. | [deleted] It's even worse than that: the claim can be entirely untrue. To put it metaphorically: I do like vanilla fudge very much, but that doesn't mean it's good for me ;-). An ugly image may convey the desired information better than a visually pleasing one. -- Kees de Graaf, University of Utrecht, The Netherlands, kees@cv.ruu.nl
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Newsgroups: sci.image.processing Path: arc1-ca.pugleaf.net!sparky!uunet!mcsun!sun4nl!ruuinf!prisma.cv.ruu.nl!kees From: kees@cv.ruu.nl (Kees de Graaf) Subject: Re: Similarity metric for images Sender: usenet@cv.ruu.nl (Usenet Network) Message-ID: <1992Dec16.084459.18512@cv.ruu.nl> Date: Wed, 16 Dec 1992 08:44:59 GMT References: <BynEr1.4G9@vuse.vanderbilt.edu> <85115@ut-emx.uucp> <Bz2n91.J3M@ie.utoronto.ca> <85391@ut-emx.uucp> Nntp-Posting-Host: triton.cv.ruu.nl Organization: University of Utrecht, 3D Computer Vision Research Group Keywords: image restoration, image metrics, noise reduction Lines: 15