Article View: sci.image.processing
Article #818Re: Similarity metric for images
From: Marc Green
Date: Tue, 15 Dec 1992 22:27
Date: Tue, 15 Dec 1992 22:27
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psilsbee@ccwf.cc.utexas.edu (Peter Silsbee) writes: >Yes, certainly, IF your images are created solely for humans to view, then >that is the best measure. Even so, it must be used with care. Perhaps >one reason that it is distrusted is that it, unlike more "objective" >measures, can be manipulated. I can lossily compress and reconstruct >an image, and design a forced-choice experiment that will show that people >can't tell the difference. If my application involves magnifying the image >by a large factor to locate tiny details, then I've been dishonest. This is untrue. If the units are properly specified, i. e., visual angle rather than size, etc., you can't manipulate the results. The trouble is not with psychophysics, but with people who don't know how to do it right. Marc Green Trent Universoty
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Newsgroups: sci.image.processing Path: arc1-ca.pugleaf.net!sparky!uunet!europa.asd.contel.com!howland.reston.ans.net!usc!cs.utexas.edu!torn!skule.ecf!drill.me!ie.utoronto.ca!green From: green@ie.utoronto.ca (Marc Green) Subject: Re: Similarity metric for images Message-ID: <BzBnq5.A05@ie.utoronto.ca> Keywords: image restoration, image metrics, noise reduction Organization: University of Toronto, Department of Industrial Engineering References: <BynEr1.4G9@vuse.vanderbilt.edu> <85115@ut-emx.uucp> <Bz2n91.J3M@ie.utoronto.ca> <85391@ut-emx.uucp> Date: Tue, 15 Dec 1992 22:27:40 GMT Lines: 19