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Proceedings Paper

Quality Measures In The Processing Of High-Contrast Images
Author(s): V. R. Algazi; G. E. Ford
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Paper Abstract

The use of image quality measures in the design of processing algorithms and equipment is a difficult task. Realistic and useful images are complex and far from the threshold conditions under which psychophysical measurements and models are obtained. For a class of processing algorithms, the image distortion is actually proportional to the image contrast. For these algorithms it appears possible to determine a worst case image and to establish fairly simple quality criteria. The basic components of such a quality measure are discussed and examples of application given.

Paper Details

Date Published: 11 November 1980
PDF: 7 pages
Proc. SPIE 0249, Advances in Image Transmission II, (11 November 1980); doi: 10.1117/12.959408
Show Author Affiliations
V. R. Algazi, University of California (United States)
G. E. Ford, University of California (United States)

Published in SPIE Proceedings Vol. 0249:
Advances in Image Transmission II
Andrew G. Tescher, Editor(s)

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