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Optical Engineering

Information-theoretic assessment of sampled imaging systems
Author(s): Friedrich O. Huck; Carl L. Fales; Rachel Alter-Gartenberg; Stephen K. Park; Zia-ur Rahman
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Paper Abstract

By rigorously extending modern communication theory to the assessment of sampled imaging systems, we develop the formulations that are required to optimize the performance of these systems within the critical constraints of image gathering, data transmission, and image display. The goal of this optimization is to produce images with the best possible visual quality for the wide range of statistical properties of the radiance field of natural scenes that one normally encounters. Extensive computational results are presented to assess the performance of sampled imaging systems in terms of information rate, theoretical minimum data rate, and fidelity. Comparisons of this assessment with perceptual and measurable performance demonstrate that (1) the information rate that a sampled imaging system conveys from the captured radiance field to the observer is closely correlated with the fidelity, sharpness and clarity with which the observed images can be restored and (2) the associated theoretical minimum data rate is closely correlated with the lowest data rate with which the acquired signal can be encoded for efficient transmission.

Paper Details

Date Published: 1 May 1999
PDF: 21 pages
Opt. Eng. 38(5) doi: 10.1117/1.602264
Published in: Optical Engineering Volume 38, Issue 5
Show Author Affiliations
Friedrich O. Huck, NASA Langley Research Ctr. (United States)
Carl L. Fales, NASA Langley Research Ctr. (United States)
Rachel Alter-Gartenberg, Computer Sciences Corp. (United States)
Stephen K. Park, College of William & Mary (United States)
Zia-ur Rahman, College of William & Mary (United States)


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