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Proceedings Paper

Quality Metrics Of Digitally Derived Imagery And Their Relation To Interpreter Performance
Author(s): James J. Burke; Harry L. Snyder
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Paper Abstract

Two hundred-fifty transparencies, displaying a new digital database consisting of 25 degraded versions (5 blur levels x 5 noise levels) of each of 10 digitized, first-generation positive transparencies, were used in two experiments involving 15 trained military photo-interpreters. Each image is 86 mm square and represents 40962 8-bit pixels. In the "interpretation" experiment, each photo-interpreter (judge) spent approximately two days extracting Essential Elements of Information (EEI's) from one degraded version of each scene at a constant blur level (FWHM = 40, 84 or 322 μm). In the scaling experiment, each judge assigned a numerical value to each of the 250 images, according to its perceived position on a 10-point NATO-standardized scale (0 = useless through 9 = nearly perfect), to the nearest 0.1 unit. Eighty-eight of the 100 possible values were used by the judges, indicating that 62 categories are needed to scale these hardcopy images. The overall correlation between the scaling and interpretation results was 0.9. Though the main effect of blur was not significant (p = 0.146) in the interpretation experiment, that of noise was significant (p = 0.005), and all main factors (blur, noise, scene, order of battle) and most interactions were statistically significant in the scaling experiment.

Paper Details

Date Published: 28 December 1981
PDF: 8 pages
Proc. SPIE 0310, Image Quality, (28 December 1981); doi: 10.1117/12.932847
Show Author Affiliations
James J. Burke, University of Arizona (United States)
Harry L. Snyder, Virginia Polytechnic Institute and State University (United States)


Published in SPIE Proceedings Vol. 0310:
Image Quality
Patrick S. Cheatham, Editor(s)

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