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Proceedings Paper

Feature visibility limits in the nonlinear enhancement of turbid images
Author(s): Daniel J. Jobson; Zia-ur Rahman; Glenn A. Woodell
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Paper Abstract

The advancement of non-linear processing methods for generic automatic clarification of turbid imagery has led us from extensions of entirely passive multiscale Retinex processing to a new framework of active measurement and control of the enhancement process called the Visual Servo. In the process of testing this new non-linear computational scheme, we have identified that feature visibility limits in the post-enhancement image now simplify to a single signal-to-noise figure of merit: a feature is visible if the feature-background signal difference is greater than the RMS noise level. In other words, a signal-to-noise limit of approximately unity constitutes a lower limit on feature visibility.

Paper Details

Date Published: 8 August 2003
PDF: 7 pages
Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); doi: 10.1117/12.488842
Show Author Affiliations
Daniel J. Jobson, NASA Langley Research Ctr. (United States)
Zia-ur Rahman, College of William and Mary (United States)
Glenn A. Woodell, NASA Langley Research Ctr. (United States)

Published in SPIE Proceedings Vol. 5108:
Visual Information Processing XII
Zeno J. Geradts; Zia-ur Rahman; Lenny I. Rudin; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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