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Optical Engineering

Effects of image noise on submicroscan interpolation
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Paper Abstract

The submicroscan interpolation image-processing technique is analyzed to determine the effects of additive noise on the quality of the output imagery. Both temporal and fixed-pattern spatial noise are evaluated assuming a white Gaussian noise model. Closed-form solutions for the power spectral density of the output noise are derived for both one- and two-dimensional submicroscanning. It is found that temporal noise degrades the output imagery and determines the minimum usable submicroscan image shift. For the case of fixed-pattern noise, submicroscan interpolation causes a spectral redistribution of the noise power spectrum that tends to improve image quality.

Paper Details

Date Published: 1 November 1995
PDF: 9 pages
Opt. Eng. 34(11) doi: 10.1117/12.213572
Published in: Optical Engineering Volume 34, Issue 11
Show Author Affiliations
Kenneth J. Barnard, H.N. Burns Engineering Corp. (United States)
Edward A. Watson, Air Force Wright Lab. (United States)


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